8682 Hadoop Jobs - Page 36

What is Blend? Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com What is the Role? We are looking for a forward-thinking Data & AI Engineer with 1–3 years of experience in data engineering and a passion for using modern AI tools to accelerate development workflows. The ideal candidate is proficient in Python, SQL, PySpark, and has experience working in on-premise big data environments (e.g., Spark, Hadoop, Hive, HDFS). This role is ideal for someone eager to blend traditional data engineering practices with AI-augmented software development, helping us build high-performance pipelines and deliver faster, smarter solutions. What you’ll be doing? Develop and maintain robust ETL/ELT pipelines using Python, SQL, and PySpark. Work with on-premise big data platforms such as Spark, Hadoop, Hive, and HDFS. Optimize and troubleshoot workflows to ensure performance, reliability, and quality. Use AI tools to assist with code generation, testing, debugging, and documentation. Collaborate with data scientists, analysts, and engineers to support data-driven use cases. Maintain up-to-date documentation using AI summarization tools. Apply AI-augmented software engineering practices, including automated testing, code reviews, and CI/CD. Identify opportunities for automation and process improvement across the data lifecycle. What do we need from you? 1–3 years of hands-on experience as a Data Engineer or in a similar data-focused engineering role. Proficiency in Python for data manipulation, automation, and scripting. Solid understanding of SQL and relational database design. Experience building distributed data processing solutions with PySpark. Familiarity with on-premise big data ecosystems, including Hadoop, Hive, HDFS. Active use of AI development tools, such as: GitHub Copilot, Windsurf, Cursor – for intelligent code assistance ChatGPT or similar – for testing support, refactoring, and documentation AI-based testing frameworks or custom scripts Familiar with Git and CI/CD pipelines. Strong analytical skills and a mindset for automation and innovation. What do you get in return? Competitive Salary: Your skills and contributions are highly valued here, and we make sure your salary reflects that, rewarding you fairly for the knowledge and experience you bring to the table. Dynamic Career Growth: Our vibrant environment offers you the opportunity to grow rapidly, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Innovation lives here. Our "Idea Tanks" are your playground to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Dive into our casual "Growth Chats" where you can learn from the best whether it's over lunch or during a laid-back session with peers, it's the perfect space to grow your skills. Snack Zone: Stay fueled and inspired! In our Snack Zone, you'll find a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: We believe great work deserves to be recognized. Expect regular Hive-Fives, shoutouts and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We’re all about your growth groove! Level up your skills with our support as we cover the cost of your certifications.

Description IN Data Engineering & Analytics(IDEA) Team is looking to hire a rock star Data Engineer to build and manage the largest petabyte-scale data infrastructure in India for Amazon India businesses. IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all A.in businesses. The team's charter includes 1) Providing Unified Data and Analytics Infrastructure (UDAI) for all A.in teams which includes central Petabyte-scale Redshift data warehouse, analytics infrastructure and frameworks for visualizing and automating generation of reports & insights and self-service data applications for ingesting, storing, discovering, processing & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in being a strong owner of our Data Platform. He/she will own and build data pipelines, automations and solutions to ensure the availability, system efficiency, IMR efficiency, scaling, expansion, operations and compliance of the data platform that serves 200 + IN businesses. The role sits in the heart of technology & business worlds and provides opportunity for growth, high business impact and working with seasoned business leaders. An ideal candidate will be someone with sound technical background in managing large data infrastructures, working with petabyte-scale data, building scalable data solutions/automations and driving operational excellence. An ideal candidate will be someone who is a self-starter that can start with a Platform requirement & work backwards to conceive and devise best possible solution, a good communicator while driving customer interactions, a passionate learner of new technology when the need arises, a strong owner of every deliverable in the team, obsessed with customer delight, business impact and ‘gets work done’ in business time. Key job responsibilities Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of Amazon IN. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations Enjoy working closely with your peers in a group of very smart and talented engineers. A day in the life India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective, easy & timely access to high quality data. We achieve this by providing UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure, ready to use datasets and self-service reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dash-boarding d) empowering business with self-service tools to manage data and generate insights. Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3044196

Description IN Data Engineering & Analytics(IDEA) Team is looking to hire a rock star Data Engineer to build and manage the largest petabyte-scale data infrastructure in India for Amazon India businesses. IN Data Engineering & Analytics (IDEA) team is the central Data engineering and Analytics team for all A.in businesses. The team's charter includes 1) Providing Unified Data and Analytics Infrastructure (UDAI) for all A.in teams which includes central Petabyte-scale Redshift data warehouse, analytics infrastructure and frameworks for visualizing and automating generation of reports & insights and self-service data applications for ingesting, storing, discovering, processing & querying of the data 2) Providing business specific data solutions for various business streams like Payments, Finance, Consumer & Delivery Experience. The Data Engineer will play a key role in being a strong owner of our Data Platform. He/she will own and build data pipelines, automations and solutions to ensure the availability, system efficiency, IMR efficiency, scaling, expansion, operations and compliance of the data platform that serves 200 + IN businesses. The role sits in the heart of technology & business worlds and provides opportunity for growth, high business impact and working with seasoned business leaders. An ideal candidate will be someone with sound technical background in managing large data infrastructures, working with petabyte-scale data, building scalable data solutions/automations and driving operational excellence. An ideal candidate will be someone who is a self-starter that can start with a Platform requirement & work backwards to conceive and devise best possible solution, a good communicator while driving customer interactions, a passionate learner of new technology when the need arises, a strong owner of every deliverable in the team, obsessed with customer delight, business impact and ‘gets work done’ in business time. Key job responsibilities Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of Amazon IN. Build solutions to achieve BAA(Best At Amazon) standards for system efficiency, IMR efficiency, data availability, consistency & compliance. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, Amazon and AWS big data technologies Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations Enjoy working closely with your peers in a group of very smart and talented engineers. A day in the life India Data Engineering and Analytics (IDEA) team is central data engineering team for Amazon India. Our vision is to simplify and accelerate data driven decision making for Amazon India by providing cost effective, easy & timely access to high quality data. We achieve this by providing UDAI (Unified Data & Analytics Infrastructure for Amazon India) which serves as a central data platform and provides data engineering infrastructure, ready to use datasets and self-service reporting capabilities. Our core responsibilities towards India marketplace include a) providing systems(infrastructure) & workflows that allow ingestion, storage, processing and querying of data b) building ready-to-use datasets for easy and faster access to the data c) automating standard business analysis / reporting/ dash-boarding d) empowering business with self-service tools to manage data and generate insights. Basic Qualifications 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - ADCI - Karnataka Job ID: A3044205

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Data Science Engineer What You Will Do Let’s do this. Let’s change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. Roles & Responsibilities: Collaborate with data scientists to develop, train, and evaluate machine learning models. Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring. Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment. Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency. Develop and implement monitoring systems to track model performance and identify issues. Conduct A/B testing and experimentation to optimize model performance. Work closely with data scientists, engineers, and product teams to deliver ML solutions. Stay updated with the latest trends and advancements What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master's degree / Bachelor's degree and 5 to 9 years [Job Code’s Discipline and/or Sub-Discipline] Functional Skills: Must-Have Skills: Solid foundation in machine learning algorithms and techniques Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills Good-to-Have Skills: Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing Experience with data engineering and pipeline development Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen’s Mission of Serving Patients At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do. Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. [Software Development Engineer-Test II] What You Will Do Let’s do this. Let’s change the world. In this vital role you will be working closely with product managers, designers, and other engineers to create high-quality, scalable software solutions and automating operations, monitoring system health, and responding to incidents to minimize downtime. Ø Test Automation & Framework Development Design, develop, and maintain scalable test automation frameworks (UI, API, performance). Implement reusable test libraries and utilities to accelerate test development. Ø Test Planning & Execution Collaborate with Product, Development, and DevOps teams to define test strategies, scope, and acceptance criteria. Author, review, and execute automated and manual test cases for new features and bug fixes. Ø Continuous Integration & Deployment Integrate automated tests into CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps). Monitor build health, triage failures, and work with developers to resolve test stability issues. Ø Defect Management & Reporting Track, document, and prioritize defects; work with cross-functional teams to ensure timely resolution. Generate and present test reports, metrics, and dashboards to leadership. Ø Performance & Security Testing (as applicable) Design and run performance/load tests using tools like JMeter, Gatling, or similar. Collaborate with security teams to integrate automated security scans and address vulnerabilities. What We Expect Of You We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Bachelor’s degree/Master’s degree and 5 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Functional Skills: Programming in at least one modern language (e.g., Java, C#, Python, JavaScript/TypeScript). Hands-on experience with test automation frameworks (e.g., Selenium, Cypress, Playwright, REST Assured). Familiarity with API testing tools (e.g., Postman, SoapUI) and related libraries. Familiar with testing AI models Solid understanding of CI/CD practices and tools (Jenkins, GitHub Actions, Azure DevOps). Working knowledge of version control systems (Git). Good-to-Have Skills: Strong understanding of cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes) Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk) Experience with data processing tools like Hadoop, Spark, or similar Experience with SAP integration technologies Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What You Can Expect Of Us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Summary Synechron is seeking a motivated and experienced Big Data Engineer to design, develop, and implement scalable big data solutions. The ideal candidate will possess strong hands-on experience with Hadoop, Spark, and NoSQL databases, enabling the organization to ingest, process, and analyze vast data sets efficiently. This role contributes directly to the organizations data-driven initiatives by creating reliable data pipelines and collaborating with cross-functional teams to deliver insights that support strategic decision-making and operational excellence. Purpose: To build and maintain optimized big data architectures that support real-time and batch data processing, enabling analytics, reporting, and machine learning efforts. Value: By ensuring high-performance and scalable data platforms, this role accelerates data insights, enhances business agility, and ensures data integrity and security. Software Requirements Required Skills: Deep expertise in Hadoop ecosystem components including Hadoop Distributed File System (HDFS), Spark (batch and streaming), and related tools. Practical experience with NoSQL databases such as Cassandra, MongoDB, and HBase. Experience with data ingestion tools like Spark Streaming and Apache Flume. Strong programming skills in Java, Scala, or Python. Familiarity with DevOps tools such as Git, Jenkins, Docker, and container orchestration with OpenShift or Kubernetes. Working knowledge of cloud platforms like AWS and Azure for deploying and managing data solutions. Preferred Skills: Knowledge of additional data ingestion and processing tools. Experience with data cataloging or governance frameworks. Overall Responsibilities Design, develop, and optimize large-scale data pipelines and data lakes using Spark, Hadoop, and related tools. Implement data ingestion, transformation, and storage solutions to meet business and analytic needs. Collaborate with data scientists, analysts, and cross-functional teams to translate requirements into technical architectures. Monitor daily data operations, troubleshoot issues, and improve system performance and scalability. Automate deployment and maintenance workflows utilizing DevOps practices and tools. Ensure data security, privacy, and compliance standards are upheld across all systems. Stay updated with emerging big data technologies to incorporate innovative solutions. Strategic objectives: Enable scalable, reliable, and efficient data processing platforms to support analytics and AI initiatives. Improve data quality, accessibility, and timeliness for organizational decision-making. Drive automation and continuous improvement in data infrastructure. Performance outcomes: High reliability and performance of data pipelines with minimal downtime. Increased data ingestion and processing efficiency. Strong collaboration across teams leading to successful project outcomes. Technical Skills (By Category) Programming Languages: Essential: Java, Scala, or Python for developing data pipelines and processing scripts. Preferred: Knowledge of additional languages such as R or SQL scripting for data manipulation. Databases & Data Management: Experience with Hadoop HDFS, HBase, Cassandra, MongoDB, and similar NoSQL data stores. Familiarity with data modeling, ETL workflows, and data warehousing strategies. Cloud Technologies: Practical experience deploying and managing big data solutions on AWS (e.g., EMR, S3) and Azure. Knowledge of cloud security practices and resource management. Frameworks & Libraries: Extensive use of Hadoop, Spark (structured and streaming), and related libraries. Familiarity with serialization formats like Parquet, Avro, or ORC. Development Tools & Methodologies: Proficiency with GIT, Jenkins, Docker, and OpenShift/Kubernetes for versioning, CI/CD, and containerization. Experience working within Agile/Scrum environments. Security & Data Governance: Comprehension of data security protocols, access controls, and compliance regulations. Experience Requirements 4 to 7 years of hands-on experience in Big Data engineering or related roles. Demonstrable experience designing and maintaining large-scale data pipelines, data lakes, and data warehouses. Proven aptitude for using Spark, Hadoop, and NoSQL databases effectively in production environments. Prior experience in financial services, healthcare, retail, or telecommunications sectors is a plus. Ability to lead technical initiatives and collaborate with multidisciplinary teams. Day-to-Day Activities Develop and optimize data ingestion, processing, and storage workflows. Collaborate with data scientists and analysts to architect solutions aligned with business needs. Build, test, and deploy scalable data pipelines ensuring high performance and reliability. Monitor system health, diagnose issues, and implement improvements for data systems. Conduct code reviews and knowledge sharing sessions within the team. Participate in sprint planning, daily stand-ups, and project reviews to ensure timely delivery. Stay current with evolving big data tools and best practices. Qualifications Bachelors or Masters degree in Computer Science, Information Technology, or related field. Relevant certifications in big data technologies or cloud platforms are a plus. Demonstrable experience leading end-to-end data pipeline solutions. Professional Competencies Strong analytical, troubleshooting, and problem-solving skills. Effective communicator with the ability to explain complex concepts to diverse audiences. Ability to work collaboratively in a team-oriented environment. Adaptability to emerging technologies and shifting priorities. High level of organization and attention to detail. Drive for continuous learning and process improvement.

About the Company ERP Logic is a global SAP Cloud Based Solutions company that provides SAP implementation and application services. Our target market includes large enterprises and mid-sized companies upgrading to SAP S4 HANA Grow, S4 HANA Rise, SAP Business ByDesign, and SAP ECC. Founded in 2009 in the US and 2011 in India, we now have over 500 customers and approximately 1000 employees across Europe, the Middle East, and Israel. ERP Logic is among the top three SAP reseller partners for SAP S4 HANA GROW and SAP S4 RISE, and our long-standing history with SAP ensures valuable capabilities and insights for our clients. About the Role We are seeking a freelance CTO to conduct technical interviews and assess candidates for Azure Data Engineer, Data Architect, and Power BI Developer roles across several urgent projects. Responsibilities Preparing for the interview, conducting it effectively, and evaluating candidates based on their technical skills and suitability for the role Crafting relevant questions Assessing problem-solving approaches Ask insightful questions Documenting constructive feedback Qualification Bachelor's/Master's degree in CS or related field Required Skills • Over 20 years of experience in Technical/ Software/ IT Industry • Minimum 10 years of technological leadership experience (i.e. Software Development Manager, Software Architect, CTO) • Strong experience in developing modern data warehouse solutions using Azure Stack - Azure Data Lake, Azure Data Factory, Azure Databricks • Expertise in designing and deploying data applications on cloud platforms like Azure or AWS • Proficiency in programming languages such as Python • Excellent problem-solving skills and English communication skills • Experience with big data technologies (e.g., Hadoop, Spark) • Knowledge of data visualization tools (e.g., Qlik, Power BI)

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

Role Objective Develop business relevant, high quality, scalable web applications. You will be part of a dynamic AdTech team solving big problems in the Media and Entertainment Sector. Roles & Responsibilities Application Design: Understand requirements from the user, create stories and be a part of the design team. Check designs, give regular feedback and ensure that the designs are as per user expectations. Architecture: Create scalable and robust system architecture. The design should be in line with the client infra. This could be on-prem or cloud (Azure, AWS or GCP). Development: You will be responsible for the development of the front-end and back-end. The application stack will comprise of (depending on the project) SQL, Django, Angular/React, HTML, CSS. Knowledge of GoLang and Big Data is a plus point. Deployment: Suggest and implement a deployment strategy that is scalable and cost-effective. Create a detailed resource architecture and get it approved. CI/CD deployment on IIS or Linux. Knowledge of dockers is a plus point. Maintenance: Maintaining development and production environments will be a key part of your job profile. This will also include trouble shooting, fixing bugs and suggesting ways for improving the application. Data Migration: In the case of database migration, you will be expected to suggest appropriate strategies and implementation plans. Documentation: Create a detailed document covering important aspects like HLD, Technical Diagram, Script Design, SOP etc. Client Interaction: You will be interacting with the client on a day-to-day basis and hence having good communication skills is a must. Requirements** Education -B. Tech (Comp. Sc, IT) or equivalent Experience- 1+ years of experience developing applications on Django, Angular/React, HTML and CSS Behavioural Skills- Clear and Assertive communication Ability to comprehend the business requirement Teamwork and collaboration Analytics thinking Time Management Strong Trouble shooting and problem-solving skills Technical Skills- Back-end and Front-end Technologies: Django, Angular/React, HTML and CSS. Cloud Technologies: AWS, GCP and Azure Big Data Technologies: Hadoop and Spark Containerized Deployment: Dockers and Kubernetes is a plus. Other: Understanding of Golang is a plus. Skills: hadoop,azure,html,angular,django,dockers,css,docker,react,gcp,spark,golang,kubernetes,python,aws

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Process Manager Role and responsibilities: Understand the business model on why things are the way they are, ask relevant questions and get them clarified Breakdown complex problems in small solvable components, to be able to identify problem areas in each component Conduct cost/benefit analysis and feasibility studies for proposed projects to aid in decision-making Facilitate the implementation of new or improved business processes and systems Coordinate with business stakeholders to identify gaps in data, processes and suggest process improvements Understand and follow the project roadmap, plan data availability and coordinate with the execution team to ensure a successful execution of projects Prescribe suitable solutions with an understanding in limitations of toolsets and available data Fetch and analyze data from disparate sources and drive meaningful insights Provide recommendations on the business rules for effective campaign targeting Interpret analytical results and provide insights; present key findings and recommended next steps to clients Develop tangible analytical projects; communicate project details to clients and internal delivery team via written documents and presentations, in forms of specifications, diagrams, and data/process models Audit deliverables ensuring accuracy by critically examining the data and reports against requirements Collaborate on regional/global analytic initiatives and localize inputs for country campaign practices Actively work on audience targeting insights, optimize campaigns and improve comm governance Technical and Functional Skills: B Tech BE BSc MBA degree or equivalent professionalDegreewith 10+ years of experience in marketing analytics or performance marketing professional experience in advanced analytics for a Fortune 500-scale company or a prominent consulting organization Reporting - Data Extraction tools, Advanced Excel, CRM Analytics, Campaign Performance Marketing, Analytics knowledge Campaign Analytics Strong in numerical and analytical skills. Strong in Advanced Excel (prior experience with Google sheets is an added plus) 10 years of relevant experience in analytical and storytelling skills; ability to derive relevant insights from large reports and piles of disparate data Very Strong in SQL execution Advanced knowledge in using Power Bi reporting tool Experience in marketing analytics or performance marketing, concepts around campaign operations shall be clear like how does a paid media marketing works, campaigns acquisition, reactivations, cross-selling, brand awareness, measure and optimize the campaigns etc., Comfortable working autonomously with broad guidelines Passion for data andanalytics for marketing and eagerness to learn Excellent communications skills, both written and spoken; ability to explain complex technical concepts in plain English Ability to manage multiple priorities and projects, aligning teams to project timelines and ensuring quality of deliverables Work with business teams to identify business use cases and develop solutions to meet these needs using analytical approaches Manage regular reporting and ad-hoc data extract from other departments. Knowledge on analyzing digital campaigns and the tools/technologies of performance marketing Experience with Google sheet/Excel Hands-on experience in digital marketing and/or 1:1 marketing in any channel; expert level knowledge in campaign performance marketing and CRM MMM, A/B testing, attribution modeling is a plus Working knowledge of analytical/statistical techniques Experience in Hadoop environment Hive, Presto is a plus Experience in Python/R