3917 R Jobs - Page 14

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, contributing to a better working world for all. EY GDS Risk Consulting is a distinct industry-focused business unit offering a wide range of integrated services that combine deep industry experience with robust functional capability and product knowledge. The MENA Financial Services Risk Management (FSRM) team at EY GDS Risk Consulting Practice provides tailored risk solutions to assist clients in identifying, assessing, managing, and monitoring various financial and regulatory risks. This includes market, credit, operational, and regulatory risks arising from trading, asset-liability management, and capital markets activities. The division seeks collaborative individuals with strong ethics and attention to detail. Within FSRM, the Credit Risk (CR) team focuses on supporting clients, ranging from large domestic banks to global financial institutions, in implementing strategic, functional, and regulatory transformations across credit risk management within their banking book portfolios. Your role will involve working in diverse, multi-disciplinary teams to ensure high-quality outputs and service delivery to clients. You will be responsible for developing knowledge and implementing innovative solutions to meet clients" evolving needs. We value intellectual curiosity and a passion for driving solutions across organizational boundaries. Key Responsibilities: - Demonstrate deep technical expertise and industry knowledge, particularly in financial products focusing on lending solutions. - Design, assess, and benchmark financial risk management policies, frameworks, and methodologies across various risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics. - Monitor project progress, manage risks, and communicate effectively with key stakeholders for successful outcomes. - Mentor and support the development of junior consultants. - Review, analyze, and validate work completed by junior team members to ensure accuracy and quality. - Adapt to projects involving model audits, validation, and development, showcasing flexibility and domain knowledge. Qualifications, Certifications, and Education: Must-have: - Graduate or Masters degree in a technical or quantitative discipline with a minimum of 3 years of relevant experience. - Strong foundation in statistics and econometrics. - In-depth knowledge of credit risk model development, validation, audit, and implementation in banking book portfolios. - Advanced technical skills in Python, SAS, SQL, R, and Excel. - Hands-on experience in data preparation, manipulation, and consolidation. - Strong documentation skills and ability to convey complex concepts clearly. - Effective multitasking skills and ability to deliver quality results under tight deadlines. Preferred: - Professional certifications such as FRM, CFA, PRM, or SCR. - Knowledge of regulatory modeling (BASEL, CCAR, IFRS9) and exposure to regulatory stress testing processes. - Familiarity with Interest Rate Risk in Banking Book (IRRBB) and data/business intelligence reporting. - Experience with machine learning models and their practical applications. - Willingness to travel for client engagements. Join EY and be part of a culture that offers training, opportunities, and creative freedom to make a difference. Work on inspiring projects with diverse clients, from startups to Fortune 500 companies. Benefit from education, coaching, and practical experience for personal development. Control your own growth with an individual progression plan, taking on challenging assignments in a high-quality, knowledge-sharing environment. Enjoy support, coaching, and feedback from engaging colleagues, opportunities for skill development and career advancement, and the freedom to shape your role in a way that suits you. EY is dedicated to building a better working world, creating long-term value for clients, people, and society, while fostering trust in the capital markets. With diverse teams across 150+ countries, EY leverages data and technology to provide trust through assurance and help clients grow, transform, and operate across various sectors. Through assurance, consulting, law, strategy, tax, and transactions services, EY teams tackle complex global issues by asking better questions to find innovative solutions.,

As a Data Scientist at Mindcurv with 4+ years of experience, you will be responsible for delivering Data Science projects in the advanced analytics space. Your role involves driving business results through data-based insights, collaborating with stakeholders and functional/tech teams, and discovering solutions hidden in large datasets. You are expected to have experience working as a Data Scientist in the Marketing sector and ideally have delivered use cases for the Automotive industry. Your responsibilities will include identifying valuable data sources, supervising data preprocessing, analyzing information to discover trends, building machine learning models, and presenting insights using data visualization techniques. To excel in this role, you should have 3-5 years of experience in Analytics systems/program delivery with at least 2 implementations in Big Data or Advanced Analytics projects. Proficiency in Python is essential, and knowledge of R, Pyspark, and SQL is a plus. You should be familiar with various machine learning techniques, advanced statistical concepts, and have hands-on experience in GCP/AWS/Azure platforms. Additionally, you are expected to have experience with business intelligence tools like Tableau, ML frameworks, strong math skills, and excellent communication and presentation abilities. Your role will involve collaborating with Data engineering and product development teams to implement various AI algorithms and identify best-fit scenarios for business outcomes. Join Mindcurv to be part of a team of experts dedicated to redefining digital experiences and enabling sustainable business growth through data-driven solutions.,

Offshore Software Solutions is looking for a Data Scientist with 3-5 years of experience in analyzing health data from devices like smartwatches and fitness trackers. The role involves developing custom machine learning models using TensorFlow to derive actionable insights for improving health monitoring and user well-being. Your responsibilities will include analyzing health data from wearables, developing and deploying machine learning models, collaborating with cross-functional teams, preprocessing data, ensuring privacy standards compliance, optimizing models for accuracy, and presenting findings to stakeholders. Additionally, you will stay updated on the latest machine learning research related to health data from wearable devices. Requirements for this role include a Bachelor's or Masters degree in Data Science or related field, 3+ years of data analysis experience, expertise in TensorFlow, knowledge of deep learning and neural networks, proficiency in Python and data science libraries, familiarity with health data metrics, experience with data visualization tools and databases, and strong problem-solving skills. Preferred qualifications include working with wearable device APIs, understanding time-series analysis and anomaly detection, experience in edge computing, and good communication skills for effective collaboration. If you are passionate about leveraging data science to improve health monitoring and user well-being, and possess the required skills and qualifications, we encourage you to apply for this exciting opportunity at Offshore Software Solutions in Mohali, Punjab.,

As a Database Developer, your primary responsibility will be to gather and organize essential information related to the functions of various databases. You will handle requests regarding database layout, appearance, and special features, providing guidance to Application Developers on database access and usage. Throughout the development projects, you will offer hands-on leadership, including DB schema design, code development and review, SQL query tuning, and optimizations. Additionally, you will be responsible for the installation, patching, upgrading, configuring, and monitoring of DBMS installations. You will play a vital role in upgrading and enhancing application schema and data upgrades, making proactive recommendations for system improvements, and supporting production application databases when necessary. Analyzing structural requirements for new system development and developing plans for data migration from legacy systems to new solutions will also be part of your duties. You will support migration and implementation of new Compas software versions from the DB perspective, design and implement future ETL frameworks, and create conceptual and logical data models and flowcharts. Your expertise will be crucial in improving system performance through testing, troubleshooting, and integrating new elements, as well as optimizing both new and existing database systems. Defining security, backup, and DB maintenance procedures will be essential in ensuring the integrity and availability of data. You will also be required to enable and support a Data Science capability within the organization, design and support data pipelines for analytics and modeling, and create data analytics reports to communicate findings effectively. Additionally, you will design, develop, and support DB CI/CD pipelines to streamline the development process. Essential Skills and Experience Required: - Proven work experience as a Database developer with a focus on architecture, design, development, and documentation of DB solutions. - In-depth understanding of database structure principles and experience working with various relational and non-relational database technologies. - Proficiency in SQL, Oracle, and other database technologies, as well as experience with XML, JSON, and YAML formatted data. - Expertise in MS technologies such as MS-SQL, .NET, and MVC, along with experience in developing, testing, and tuning stored procedures. - Familiarity with data visualization tools like Power BI, Tableau, D3.js, and SSRS. - Experience with DAX, Python, R, and proficiency in MS Excel for displaying DB data. - Strong experience in directing other DB development and staff, with a minimum of 3+ years of experience. - 4+ years of experience in Microsoft database environments, including SQL, SSIS, and ETL. - Database administration experience covering installation, patching, security, maintenance, configuration, and monitoring. - Experience in Windows server environments and creating, configuring, and supporting DB CI/CD pipelines on Azure DevOps. - Proficiency in SQL, C++, or Java, with a preference for multiple languages. - Strong analytical skills, problem-solving attitude, and excellent communication skills. - A Bachelor's degree in Computer Science or a relevant field will be advantageous for this role.,

Job Title Data Robot Machine Learning Specialist Relevant Experience 5 8 years (minimum 2 years hands-on with Data Robot Auto ML platform) Location Remote / Hybrid (Preferred: Chennai, India) Type of Hire Open to Persons with Disabilities (PwD) and Non-PwD candidates Availability Immediate joiners preferred Role Summary We are looking for a results-oriented Machine Learning professional with deep expertise in Data Robot to build, deploy, and monitor high-impact ML models across diverse business domains. You will own the end-to-end modeling lifecyclefrom data preparation and project setup in DataRobot through production deployment and performance trackingwhile guiding stakeholders on best practices for responsible AI. Must-Have Qualifications Bachelors degree in Computer Science, Data Science, Statistics, or related field 2+ years direct experience with DataRobot (v7+)AutoPilot, Feature Discovery, MLOps, and APIs Strong Python or R skills for custom modeling and data wrangling Solid grasp of supervised & unsupervised algorithms, evaluation metrics, and model interpretability techniques Hands-on SQL; familiarity with data warehouses (Snowflake, BigQuery, Redshift, etc.) Experience deploying models via REST endpoints or message queues (Kafka, RabbitMQ) Comfort presenting technical results to business stakeholders Show more Show less

As a valuable member of our team, your role will involve determining and developing user requirements for systems in production to ensure maximum usability. By utilizing your skills in usability, data analysis, machine learning, statistical analysis, communication skills, big data technologies (such as Hadoop and Spark), programming languages (such as Python and R), data visualization, and SQL, you will contribute to the success of our projects. Success in this position will mean that you have effectively gathered and analyzed data to provide valuable insights, improving the usability and functionality of our systems. Your ability to apply statistical analysis and machine learning techniques will play a crucial role in driving decision-making processes within the organization. This role is essential in ensuring that our systems meet the needs and expectations of our users, ultimately contributing to the overall success of our organization. Your expertise in data analysis and programming will be instrumental in driving innovation and efficiency in our projects. If you possess excellent verbal and written communication skills, along with a keen eye for detail and a passion for data-driven solutions, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact through your contributions to our team.,

You will be responsible for owning a complex workstream with support from supervisors such as project leaders, managers, or senior managers. Your role will involve supporting the broader insight/marketing analytics/brand teams in problem-solving, hypothesis generation, research, and insight generation, as well as ensuring quality control. It will be essential for you to interpret, understand, and break down brand acceleration plan requirements into actionable task items for the team. Additionally, you will need to lead meaningful and focused meetings and deliver business insights effectively to the project leadership. You should be able to execute and deliver high-quality outputs timely to both internal and external stakeholders. Your role will require you to derive actionable insights from voluminous quantitative and qualitative data/research. Furthermore, you will be expected to provide day-to-day coaching to analysts on various project aspects while overseeing a workstream for 1-2 analysts. You should have a minimum of 8-10 years of experience in consumer insights, market research, or marketing analytics, with at least 3 years of exposure to management consulting and data analytics related to market/business/consumer insights, preferably in a global MNC environment within Consumer Products/Retail industry domains. Your experience should include delivering projects related to brand strategy, revenue management, negotiations, pricing/promotions, etc., relevant to the CP industry. Proficiency in key data sources/metrics for the CP industry and analytical tools such as Alteryx, Tableau, etc., is required. Key Skills required for this role include strong analytical and problem-solving skills, excellent communication and presentation skills, and a proven ability to translate data into actionable insights. Professional experience in analytical tools and techniques, specifically Alteryx, Tableau, and Power BI is mandatory. Intermediate knowledge of Python, R, and SPSS would be a plus.,

You will join our dynamic team as a highly skilled Data Scientist, where you will be tasked with analyzing large datasets, developing predictive models, and offering actionable insights to facilitate informed business decisions. Your responsibilities will include collecting, processing, and analyzing extensive datasets to extract valuable insights. Furthermore, you will be developing and deploying predictive models and machine learning algorithms. Collaboration with cross-functional teams to identify business opportunities and promote data-driven decision-making will be a crucial aspect of your role. Moreover, you will be responsible for creating data visualizations and reports to effectively communicate your findings to stakeholders. It will be expected of you to continually enhance data collection and analysis processes. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. Demonstrable experience as a Data Scientist or in a similar capacity is essential. Proficiency in statistical methods and machine learning techniques is required, as well as expertise in programming languages like Python, R, or SQL. Strong analytical and problem-solving skills will be key to excelling in this role.,

At Instawork, our mission is to create meaningful economic opportunities for local businesses and skilled hourly professionals in communities around the world. We're building the leading AI-powered labor marketplace and we're looking for exceptional talent to help us scale quickly and make an even greater impact. Backed by world-class investors like Benchmark, Spark Capital, Craft Ventures, Greylock, Y Combinator, and others, we're transforming the way the world works. As a Manager of Product Analytics, you will lead a team of product analysts embedded with cross-functional product teams. You'll play a central role in shaping how we measure success, identify opportunities for growth, and drive better decision-making through data. This role is ideal for a player-coach who thrives in fast-paced environments, understands marketplace dynamics, and is excited to help shape the trajectory of a product that has a real-world impact on our professionals and partners. What You'll Do: - Partner closely with Product, Engineering, and Design to shape product roadmaps and influence strategy with data. - Define and refine KPIs that accurately reflect product and business performance. - Develop insights that improve marketplace health; drive user activation and reduce churn; and optimize user engagement. - Lead and mentor a team of product analysts, creating a culture of curiosity, rigor, and business impact. - Establish best practices for analytics workflows, knowledge sharing, and stakeholder engagement. - Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner. - Stay up-to-date with the latest industry trends and advancements in data analysis techniques. What We're Looking For: - 7+ years of experience in product analytics, data science, business operations or related roles, with at least 2 years managing analysts or data teams. - Track record of fostering talent in high-growth environments. - Strong proficiency in SQL and experience with experimentation and causal inference techniques. - Hands-on experience using BI tools like Mode, Tableau, or Looker, and scripting languages like Python or R. - Demonstrated success driving impact in a product-led or marketplace business. - Ability to synthesize complex analyses into clear, strategic recommendations for both technical and non-technical audiences. - Experience working in cross-functional teams with product managers, designers, and engineers. - Entrepreneurial self-starter that thrives in a fast-moving environment and is capable of independently seeking information, marshaling resources, and delivering results without waiting for direction. Instawork Values: - Bias for Action -- We are a growing team and an evolving product. We want a team of doers to drive the company forward, even if it means making decisions with incomplete information or being wrong. - Act Like an Owner -- Treat this company as though it is your own. Execute on the fundamentals, and act creatively to drive growth. Your ability to drive impact in any part of our company is only limited by your courage and conviction, not your job title. - Always Be Learning -- We are changing an entire industry. We strive to learn from each other and get better each day, week, and month, so that our team's learnings can compound and we can all improve, together. - Empathy, Trust, Candor -- Empathy for our business partners and professionals means we put ourselves in their shoes. Empathy for our colleagues means we are always upfront and honest with each other, which comes from trust. About Instawork: Founded in 2015, Instawork is the leading flexible work app for local, hourly professionals. Its digital marketplace connects thousands of businesses and more than five million workers, filling a critical role in local economies. Instawork has been featured on CBS News, the Wall Street Journal, The Washington Post, Associated Press, and more. In 2022, Instawork was ranked among the country's top 10% of fastest-growing companies by Inc. 5000 and was included in the Forbes Next Billion Dollar Startup list. Instawork was also named the 2022 ACE Award recipient for Best Innovation and one of the Best Business Apps by Business Insider. Instawork helps businesses in the food & beverage, hospitality, and warehouse/logistics industries fill temporary and permanent job opportunities in more than 25 markets across the U.S. and Canada. At Instawork, we constantly evaluate how to build an optimal work environment for success. Currently, we operate on a hybrid model, but we remain open to adapting our policies to meet the needs of our evolving business and team dynamics. As we continue to grow, we're seeking candidates who are excited about contributing to our in-person culture and open to the idea of working in-office up to 5 days a week. We value diversity on our team and firmly believe Instawork is stronger when we hire people who make their own unique contributions to our culture. We welcome all applicants and encourage candidates from underrepresented backgrounds to apply. To learn more about our company values, please visit: https://info.instawork.com/about Personnel Privacy Policy,

We believe that every candidate brings something special to the table, including you! So, even if you feel that you're close but not an exact match, we encourage you to apply. We'd be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Lead specialist should be able to work on multiple data analytics and business intelligence projects and maintain a good relationship with all stakeholders. You must have excellent knowledge of understanding clients" requirements, ask relevant questions, and gather project-related information to manage end-to-end projects individually. It is essential to have good experience in handling a team of 6 to 10 members and following supervisors" instructions. You should have experience working on data management and knowledge of deriving insights from the output that drives business value. Being proactive to learn new skills as per business requirements is crucial. ### How You'll Make An Impact - Excellent skills in Data analysis & Generating key Insights - Good hands-on experience on tools like PowerBI & SQL - Good knowledge of MS Office, Visual Studio, and Data Management - Good to have knowledge of MS Access, Tableau, Python, R - Team Performance Management - Manage, Motivate, Delegate, and Control - Maintain good rapport with the team and clients - Attention to detail and Quick Learner - Sense of Urgency and Goal Setting - Critical-thinking, Strategic thinking and problem-solving - Excellent verbal and written Communication skills - Work with other departments like IT, Admin, HR, etc - Monitor analytics and metrics results - Implement new data analysis methodologies - Ready to learn Insurance concepts - Abide by company policy and ethics - Innovate, Enhance existing projects - Training and Supporting team members on technical and non-technical skills ### About You - Bachelors Degree - 2+ years of team management experience in the same domain - Should be ready to work in any shift We value inclusion and diversity. Inclusion and diversity (I&D) are a core part of our business and are embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees" diverse identities, experiences, and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability unless the accommodation would impose an undue hardship on the operation of our business.,

As a Data Science Developer at our company located in Baner, Pune, you will be instrumental in creating and implementing data-driven solutions to address complex business issues. Your primary responsibilities will involve data analysis, model development, data pipeline creation, visualization, and collaboration with various teams. You will be tasked with collecting, cleaning, and preprocessing both structured and unstructured data, followed by conducting exploratory data analysis to reveal patterns and insights. Furthermore, your role will include designing, constructing, and enhancing machine learning and statistical models, ensuring their performance validation and robustness for deployment. Developing and managing end-to-end data pipelines for model deployment, as well as integrating models seamlessly into existing systems, will be crucial aspects of your job. Your ability to generate intuitive dashboards and reports to effectively communicate insights and meet business requirements will play a vital role in your day-to-day tasks. Collaboration is key in this role, as you will closely collaborate with data engineers, software developers, and business analysts to align with project objectives. Documenting processes, models, and insights for knowledge sharing will be an essential part of ensuring a cohesive team effort. To excel in this position, you should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with a minimum of 3 to 4 years of experience in data science or related roles. Proficiency in programming languages such as Python or R, familiarity with machine learning libraries like scikit-learn, TensorFlow, PyTorch, and experience with data visualization tools are essential requirements. Additionally, knowledge of SQL, relational databases, and big data technologies like Hadoop or Spark would be advantageous. If you have strong problem-solving skills, attention to detail, and excellent communication and teamwork abilities, we invite you to apply for this full-time position with benefits including health insurance, life insurance, paid sick time, and Provident Fund. The work schedule is during day shifts, with a total work experience of 5 years being required for this role.,

You will be responsible for analyzing healthcare data in the U.S. healthcare industry to ensure compliance with regulations such as HIPAA, support population health initiatives, claims analysis, and operational efficiency. Your role as a Healthcare Data Analyst will involve analyzing clinical, claims, and operational data to uncover insights that improve patient outcomes, reduce costs, and enhance healthcare delivery. You should have experience working with healthcare datasets and a strong understanding of healthcare systems, compliance requirements, and performance metrics. Your key responsibilities will include analyzing claims, Electronic Health Records (EHR), and clinical data to identify trends and patterns, developing and maintaining dashboards using tools like Power BI, Tableau, or Qlik, supporting population health initiatives by providing data-driven insights, partnering with stakeholders to define requirements, ensuring compliance with HIPAA, conducting ad hoc analyses, and monitoring data quality. To qualify for this role, you should have a Bachelor's degree in Public Health, Health Informatics, Data Science, Statistics, Computer Science, or a related field. Proficiency in SQL for querying large healthcare datasets is required, along with experience working with medicalclaims, EHR/EMR systems, and data visualization tools. Understanding of HIPAA and healthcare data security best practices is essential. Preferred qualifications include experience with Python or R for statistical analysis, familiarity with risk adjustment models, predictive analytics, value-based care reporting, and healthcare interoperability standards. A Master's degree in Health Informatics, Public Health, or a related field is a plus. Soft skills such as strong analytical thinking, effective communication, ability to work independently and collaborate in cross-functional teams, and being detail-oriented with strong organizational skills are important for this role. In return, you will receive a competitive salary, performance-based bonuses, comprehensive medical insurance, paid time off, holidays, parental leave, and remote work flexibility.,

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrowpeople with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary This position provides strategic, analytical, and technical support for data and business intelligence activities. This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders. This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations. Primary Skills (must Have) Strong hands-on experience Data Warehouse, building Data Lakes Semantic Model Development (Dimensional, Tabular), SSAS, AAS, LookML Strong dashboarding skills - PowerBI (preferred) / Tableau Hands on experience in SQL, DAX, Python, R Hands on experience in Google Cloud Platform & DevOps(CI/CD) Strong analytical skills and attention to detail Proven ability to quickly learn new applications, processes, and procedures. Able and willing to collaborate in a team environment and exercise independent judgement. Excellent verbal and written communication skills. Ability to form good partner relationships across functions. Secondary Skills Google Cloud Platform (preferred), Azure Agile experience (Scrum) Experience in C#, .Net is preferred Responsibilities Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement. Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions. Translates data results into written reports, tables, graphs, and charts to convey information to management and clients. Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues. Uses data mining to extract information from data sets and identify correlations and patterns. Organizes and transforms information into comprehensible structures. Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data. Identifies and recommends new ways to support budgets by streamlining business processes. Preferences Bachelor&aposs Degree (or internationally comparable degree) Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline. Experience with data warehousing, data science software, or similar analytics/business intelligence systems. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Job Description Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view. The Global Banking Strategy & Intelligence group helps the firm achieve its growth objectives and solve complex business problems. The Business Intelligence team has the mandate to use data-driven and advanced analytical approaches to identify, prioritize and accelerate high-value revenue growth opportunities for the Global Banking business. Leveraging existing and new data sets, both JPMC-proprietary and third party market research, the team identifies the best opportunities for the business to profitably add new clients and deepen existing relationships, to develop actionable business insights and support business intelligence leads to articulate the most optimal growth opportunities. As a Strategy & Business Intelligence Analyst in our Global Banking Intelligence team, you will work at the intersection of data analytics and business problem solving. You will spend each day defining, refining and delivering set goals for our firm through use of relevant, timely and effective data-driven strategy. Job Responsibilities Own and drive workstreams within broader strategic projects within the business intelligence portfolio Act as an internal consultantframing problems, structuring analysis, and providing actionable insights to stakeholders Engage with JPM senior leadership and bankers on progress updates, steerco meetings, data gathering exercises etc. Communicate actionable insights to business stakeholders through appropriate delivery mechanisms such as dashboards, email alerts, PowerPoint presentations etc. Adapt to a fast paced environment with multiple projects and often competing priorities Required Qualifications, Capabilities And Skills Minimum of 1 years experience in Strategy, Data Analytics, Consulting? Demonstrated business problem solving capability to draw actionable insights to support business growth objectives from a variety of data and research assets Strong business understanding and quantitative/analytical mindset Ability to engage with senior leadership and global stakeholders with strong presentation, communication and collaboration skills Knowledge of any of the following software packages: Python, R or SQL and familiarity with relational database concepts, and a passion for learning Preferred Qualifications, Capabilities, And Skills Management consulting experience preferred Financial services experience preferred MBA/ M.Tech from top tier school; additional qualification in data/business analytics preferred Expertise with tools like Alteryx, Tableau and Qliksense Strong Quantitative background?/ background in statistics and machine learning preferred ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the worlds most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgans Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Show more Show less

The AVP, Business and Customer Analytics(L10) at Synchrony plays a crucial role in delivering high-impact projects by collaborating with various analytics teams to solve key business problems using data-driven solutions. As a part of the India Analytics Hub, you will work on projects that enable the company's growth and profitability through advanced analytics techniques. Your responsibilities will include supporting American Eagle business stakeholders with data-driven insights, leading analytics projects from inception to delivery, deriving actionable recommendations from data insights, and ensuring project timelines and accuracy are met. You will also contribute to internal initiatives, handle multiple projects, and demonstrate strong project management skills. The ideal candidate should hold a degree in Statistics, Mathematics, Economics, Engineering, or a related quantitative field with at least 4 years of hands-on experience in analytics or data science. Proficiency in SQL/SAS programming, Business Intelligence tools like Tableau & Power BI, Google Cloud Platform, ETL processes, and Big Data analytics is required. Experience in campaign sizing, customer targeting, and the financial services industry will be beneficial. Desired skills include working with Python/R, big data technologies like Hadoop/Hive/GCP, and report automation. Effective communication skills, the ability to lead strategic projects independently, and manage competing priorities are essential for this role. The role offers Enhanced Flexibility and Choice in work timings, requiring availability between 06:00 AM - 11:30 AM Eastern Time for meetings with global teams. Internal applicants should ensure they meet the eligibility criteria, inform their manager, update their professional profile, and upload an updated resume in the application process. If you are a motivated individual with a passion for analytics and a desire to drive business growth through data-driven solutions, this role provides an exciting opportunity to make a significant impact within the organization.,

Your Team Responsibilities Part of Shared Service Operations team focusing on Universe and Coverage management functions including Sustainability and Climate MSCI Sustainability and Climate team researches and evaluate companies on multitude of environment, social and governance factors Universe Management team ensures companies and legal entities along with their relationships (subsidiaries, affiliates etc) are managed in systematic way, Universe Management (UM) team members are internal process expert in charge of developing and scaling MSCI Sustainability and Climate production factory in lean manner into newer asset classes, especially Fixed Income The position provides exposure to full life cycle of UM operations and by its transversal nature interaction with all major ESG functions and linked business units, The ideal candidate will have a solid foundation in the financial markets as well as details of financial instruments The candidate needs to work in a fast-paced, deadline-driven environment with emphasis on quality and accuracy The candidate must be a self-starter who is proactive and assertive, Your Key Responsibilities The candidate will be member of highly skilled team that solves complex problems involving but not limited to the following: Manage coverage universe for all Sustainability and Climate functions by close coordination with product and functional leads, In house expert on Issuer and Issue data and corporate action, Exposure to Equity & Fixed Income indexes; performance and analytics; Exchange and vendor data feeds and symbology etc Evaluate and attribute linkages between entities as per MSCI methodology, Partnering with our coverage organization to service first-rate clientele including many of the worlds central banks, leading financial institutions, hedge funds, and corporations, Collaborating across a global organization to service both internal and external clients in a shared services environment Perform in depth analysis of data, analytics and workflows in order to improve processes and/or develop new work tools in collaboration with Tech and Development teams as part of continuous improvement program, Will also be involved in execution of key strategic projects for universe management, Your Skills And Experience That Will Help You Excel Specific Knowledge/Skills Masters degree in finance/economics from premier institute (including equivalents CFA, CA, FRM) or engineering degree with a solid experience in finance 2-5 years of relevant experience Working knowledge of financial markets data operations (Equity and Fixed Income) Excellent communication skills (both written and presentation), ability to work in multi-cultural environment, Self-starter and drive to work in individual capacity with minimum oversight, Solid background in Excel and Working knowledge of SQL, Desired Experience Experience in working with global vendors will be a plus (Reuters, Bloomberg, Interactive Data, Factset etc) Experience working with IT teams, knowledge of charting tools (Tableau, Power BI etc) and basic coding skills to build Proof of Concept models (Python, R, other scripting etc) will be added advantage, Exposure to different work shifts and schedules (but No US night shift) About MSCI What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing, Flexible working arrangements, advanced technology, and collaborative workspaces, A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results, A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients, Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development, Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles, We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Womens Leadership Forum, At MSCI we are passionate about what we do, and we are inspired by our purpose to power better investment decisions Youll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry, MSCI is a leading provider of critical decision support tools and services for the global investment community With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process, MSCI Inc is an equal opportunity employer It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability Assistance@msci and indicate the specifics of the assistance needed Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries, To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes Please do not forward CVs/Resumes to any MSCI employee, location, or website MSCI is not responsible for any fees related to unsolicited CVs/Resumes, Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers Read our full note on careers msci Show

Treasury Operations: Business Analyst Who we are About Stripe Stripe is a financial infrastructure platform for businesses Millions of companies?from the worlds largest enterprises to the most ambitious startups?use Stripe to accept payments, grow their revenue and accelerate new business opportunities Our mission is to increase the GDP of the internet, and we have a large amount of work ahead That means you have an unprecedented opportunity to put the global economy within everyones reach while doing the most important work of your career, About The Team Treasury Operations is integral to the strategy, execution and support of many Treasury Finances core functionalities (bank account management, cash management, investment management, payments processing, risk management and compliance) We are seeking an exceptional candidate to join this growing team, What youll do As a Business Analyst, you will play a critical role in supporting the design, analysis, and improvement of treasury-related processes You will work closely with engineering teams and process subject matter experts (SMEs) to identify inefficiencies and enhance operational workflows, Your Responsibilities Will Include But Are Not Limited To Process Mapping and Optimization: Collaborate with Process SMEs to document and map current state finance processes, identifying inefficiencies and proposing improvements, Metrics Development: Own and build metrics to identify and track inefficiencies in treasury operations Utilize a metric-driven approach to discover opportunities for improvement and process enhancement, Systems Support and Integration: Assist in the evaluation, selection, and implementation of treasury-related systems and processes including bank account management, liquidity forecasting, and cash management, Business Requirements Gathering: Engage with stakeholders across finance, operations, and IT to gather and document detailed business requirements for new systems, processes, and data tools, Business-as-Usual (BAU) Operations: Dedicate 30-50% of your time to BAU operations to gain hands-on experience with existing processes while actively supporting the transition of treasury operations from other regions to Bangalore, Testing and Implementation Support: Develop and execute test cases for new or updated finance systems and processes, providing post-implementation support to troubleshoot and resolve issues that arise, Communication Ownership: Take ownership of communication regarding the progress of initiatives aimed at improving treasury operations, ensuring transparency and engagement across teams and stakeholders, Continuous Improvement: Actively participate in continuous improvement initiatives related to finance processes, ensuring adaptation to changes in regulatory requirements, technology, and market conditions, Our Ideal Candidate Will Have 5+ years of experience as a Business Analyst, ideally in Treasury, FinTech, Payments, or Financial Operations roles, Strong problem-solving skills and the ability to effectively manage complex, cross-functional challenges, Excellent communication skills, with the ability to collaborate effectively across business stakeholders, technical teams, and senior leadership?combining listening, advising, advising, and explaining capabilities, A strong focus on continuous improvement and automation, demonstrating a passion for driving innovation within enterprise systems, Ability to thrive in a fast-paced, dynamic work environment while managing multiple priorities effectively, Strong analytical mindset with the ability to translate data into actionable insights, Proven track record in driving process changes and managing systems-based projects, Familiarity with cash management, liquidity, reconciliation, and financial risk concepts, Experience managing deliverables across multiple teams and balancing competing priorities, Familiarity with basic SQL, language prompt to understand data and insights, Nice To Haves Experience working in a high-growth or tech-enabled financial services company Familiarity with scripting languages like Python or R for data analysis Understanding of regulatory frameworks related to payment systems or treasury operations Prior involvement in system overhauls, ERP integrations, or custom tool development To Apply, Please Include A resume and LinkedIn profile, In-office expectations Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users This expectation may vary depending on role, team and location For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico and Bengaluru, India work 100% from the office Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible, Pay and benefits Stripe does not yet include pay ranges in job postings in every country Stripe strongly values pay transparency and is working toward pay transparency globally, Show

Description: Position Overview: As a Data Scientist, he will be responsible for translating management and business requirements into advanced analytics solutions. He will play a crucial role in the development of data pipelines, business intelligence tools, and the delivery of meaningful insights through trend analysis and business analytics. Responsibilities: 1. Data Analysis and Modeling: • Collaborate with cross-functional teams to understand management and business requirements. • Develop and implement statistical models, machine learning algorithms, and other advanced analytics techniques to derive actionable insights. 2. Data Pipeline Development: • Design and build efficient data pipelines to support the collection, processing, and analysis of large datasets. • Ensure the availability, reliability, and scalability of data pipelines to meet business needs. 3. Business Intelligence (BI) Tool Development: • Work closely with IT teams to develop and maintain BI tools that provide intuitive access to data for business users. • Create dashboards and reports that visualize key performance indicators and support data-driven decision-making. 4. Trend Analysis and Reporting: • Conduct trend analysis to identify patterns, correlations, and anomalies in large datasets. • Generate and present regular reports on business analytics, highlighting key insights and recommendations. 5. Collaboration and Communication: • Collaborate with stakeholders to understand their analytical needs and translate them into actionable plans. • Communicate complex analytical findings to non-technical stakeholders in a clear and concise manner. Qualifications: Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related field. • Proven experience as a Data Scientist with a focus on business analytics and trend analysis. • Strong programming skills in languages such as Python or R. • Experience with data visualization tools (e.g., Zoho Analytics, Tableau, Power BI). • Knowledge of statistical modeling, machine learning, and data mining techniques. • Excellent problem-solving and critical-thinking skills.

About the Job We are looking for a dynamic and analytical Senior Capacity Planner with strong client-facing skills to join our Workforce Management team. This role will play a key part in driving operational efficiency through precise capacity planning while also serving as a strategic partner to external clients. The ideal candidate will possess a deep understanding of workforce dynamics, strong forecasting and planning capabilities, and the communication skills necessary to translate insights into impactful client conversations. As Senior Capacity Planner, You Will Develop short, mid, and long-term capacity plans in line with forecasted demand, productivity, attrition, and hiring inputs. Serve as the primary WFM point of contact for client interactions, presenting plans, reports, and recommendations regularly. Collaborate with client-side and internal stakeholders to align on forecast assumptions, business changes, and service level expectations. Present capacity models and staffing strategies during client governance calls, QBRs, or ad hoc reviews. Partner with internal teams (HR, Operations, Recruitment, Finance) to ensure seamless execution of capacity plans. Build robust what-if scenarios to model the impact of changes in demand, headcount, and shrinkage. Identify operational gaps or risks and proactively escalate with clear data-backed insights. Maintain high standards of reporting accuracy and transparency in all client-facing documentation and presentations. As Senior Capacity Planner, You Need Bachelor''s degree in Mathematics, Statistics, Business, Engineering, or related fields (Masters preferred). BPO Experience of 4-5 years minimum. 2 to 3 years experience working as a front-line Capacity Planner - Voice, Email, Chat, and SMS channel. Proficiency utilizing NICE IEX Workforce software. Working Knowledge of AWS, Salesforce preferred. Experience with analytics platforms or languages (SQL, Tableau, Power BI, R, Python) is considered an asset. Excellent communication and presentation skills to effectively articulate findings and recommendations to stakeholders at various levels. Ability to work independently and manage multiple projects simultaneously. Excellent analytical, problem-solving, and communication skills. High attention to detail with the ability to manage multiple priorities in a fast-paced environment. Strong stakeholder management and the ability to translate data into actionable insights.

Job Description: Data Analyst Seeking a highly skilled Data Analyst who will be responsible for transforming data into actionable insights that drive business growth and operational improvements. The ideal candidate will work with diverse data sources to identify trends, generate reports, and develop practical use cases based on their findings. Key Responsibilities: • Business Understanding: Collaborate with stakeholders to gather and comprehend business requirements. • Data Management: Collect, clean, and preprocess data from multiple sources, ensuring accuracy and completeness. • Exploratory Data Analysis (EDA): Conduct EDA to uncover trends, patterns, and anomalies within datasets. • Statistical Analysis: Apply statistical techniques to analyze data and derive meaningful insights. • Use Case Development: Develop actionable use cases based on insights and validate them with stakeholders. • Data Visualization: Create compelling data visualizations, reports, and dashboards to effectively communicate insights to stakeholders. • Collaboration: Work closely with business stakeholders to develop data-driven solutions that meet organizational needs. • Implementation Support: Assist in the implementation of developed use cases. Qualifications: • Bachelors degree in Computer Science, Statistics, Mathematics, or a related field • 5+ years of experience in data analysis or a related field • Strong proficiency in programming languages such as Python and R • Experience with data visualization tools such as Power BI • Excellent analytical, problem-solving, and communication skills Nice to Have: • Certification in data analysis or a related field • Experience with machine learning models and algorithms • Knowledge of cloud-based data platforms such as AWS or Google Cloud • Familiarity with agile project management methodologie

Job Summary Vanderlande is a global leader for value-added logistic process automation at airports and in the parcel market, as well as a leading supplier of process automation solutions for warehouses. In this world of technology, we believe in people especially those who are totally dedicated, customer-driven and keen to continue learning throughout their career. If youre ambitious and take your long-term career seriously, please contact us to explore this opportunity to join a company at the top of its game. Vanderlande India is global engineering capability center. We are looking for Design Safety Expert (DSE ) who will be working in engineering support office multidisciplinary team. DSE is responsible project design safety in material handling solution for Vanderlande system. DSE will review safety designs on mechanical, electromechanically and controls level. DSE will discuss the findings with the teams and document important decisions regarding safety. Beside to above DSE contribute to increasing the maturity of the design safety competence, continuous improvement on processes, product, manuals, templates, and lessons learned. Department Engineering support office (ESO) is responsible for making the standardization of products, tooling required to support products. ESO closely works with the sales, project engineering and R&D team. Job Responsibilities / Core tasks Advise (multidisciplinary) based on applicable standards (ISO, IEC, EN etc.) Audit the design safety process from start of pre bid phase Sales engineering. Consulting & Authority for Health Safety and Risk Analyses within project Engineering Consulting & Authority for mandatory Health and Safety deliverables (documents) within project engineering Verify safety solutions within projects & where necessary discuss these with stakeholders (e.g., PLE/PM/Supervisors); Execute site inspection on Design Safety (Mechanical/Electrical/Controls) Contribute to continuous Improvement of design safety. Programming of integrated safety PLC (Siemens), verification and inspection onsite. Job Skills / Functional / Technical Skills Capable to reduce, evaluate, summarize, decide, present and advise on complex technical safety solutions Highly effective in organizing and working independently Understanding of the machine directive (2006/42/EC) and experience in the application of safety standards like EN 619; ISO 13849-1/2; ISO 13850, ISO 14122-1 till -4; IEC 60204-1) Certification in machine safety like CMSE (Certified Machine Safety Expert) is a prerequisite. Able to understand the integrated safety PLC architecture, implementation of Knowledge of integrated safety PLCs e.g. Siemens PLC and its programming. Personal profile (Soft skills) Good communication skills Verbal and writing Taking the Initiative Proactive Creative and innovative Discipline Co-operative Results oriented and driven. Persuasiveness Analyzing and learning Decisiveness Qualification BE. / B. Tech (Electronics, Electrical engineering) degree from a recognized University / Institution. Experience 9-10 years of relevant experience from which preferably 4 minimum years in machine safety

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