541 Data Manipulation Jobs - Page 17

Overview We are seeking a strategic and hands-on Manager of Business Intelligence (BI) and Data Governance to lead the development and execution of our enterprise-wide data strategy. This role will oversee data governance frameworks, manage modern BI platforms, and ensure the integrity, availability, and usability of business-critical data. Reporting into senior leadership, this role plays a pivotal part in shaping data-informed decision-making across functions including Finance, Revenue Operations, Product, and more. The ideal candidate is a technically proficient and people-oriented leader with a deep understanding of data governance, cloud data architecture, and SaaS KPIs. They will drive stakeholder engagement, enablement, and adoption of data tools and insights, with a focus on building scalable, trusted, and observable data systems. Responsibilities Data Governance Leadership: Establish and maintain a comprehensive data governance framework that includes data quality standards, ownership models, data stewardship processes, and compliance alignment with regulations such as GDPR and SOC 2. Enterprise Data Architecture: Oversee data orchestration across Salesforce (SFDC), cloud-based data warehouses (e.g., Databricks, Snowflake, or equivalent), and internal systems. Cross collaborate with data engineering team for the development and optimization of ETL pipelines to ensure data reliability and performance at scale. Team Management & Enablement: Lead and mentor a team of BI analysts, and governance specialists. Foster a culture of collaboration, continuous learning, and stakeholder enablement to increase data adoption across the organization. BI Strategy & Tools Management: Own the BI toolset (with a strong emphasis on Tableau), and define standards for scalable dashboard design, self-service reporting, and analytics enablement. Evaluate and incorporate additional platforms (e.g., Power BI, Looker) as needed. Stakeholder Engagement & Strategic Alignment: Partner with leaders in Finance, RevOps, Product, and other departments to align reporting and data strategy with business objectives. Translate business needs into scalable reporting solutions and drive enterprise-wide adoption through clear communication and training. Data Quality & Observability: Implement data quality monitoring, lineage tracking, and observability tools to proactively detect issues and ensure data reliability and trustworthiness. Documentation & Transparency: Create and maintain robust documentation for data processes, pipeline architecture, code repositories (via GitHub), and business definitions to support transparency and auditability for technical and non-technical users. Executive-Level Reporting & Insight: Design and maintain strategic dashboards that surface key SaaS performance indicators to senior leadership and the board. Deliver actionable insights to support company-wide strategic decisions. Continuous Improvement & Innovation: Stay current with trends in data governance, BI technologies, and AI. Proactively recommend and implement enhancements to tools, processes, and governance maturity. Qualifications Data Governance Expertise: Proven experience implementing data governance frameworks, compliance standards, and ownership models across cross-functional teams. SQL Expertise: Advanced SQL skills with a strong background in ETL/data pipeline development across systems like Salesforce and enterprise data warehouses. BI Tools Mastery: Expertise in Tableau for developing reports and dashboards. Experience driving adoption of BI best practices across a diverse user base. Salesforce Data Proficiency: Deep understanding of SFDC data structure, reporting, and integration with downstream systems. Version Control & Documentation: Hands-on experience with GitHub and best practices in code versioning and documentation of data pipelines. Leadership & Stakeholder Communication: 3+ years of people management experience with a track record of team development and stakeholder engagement. Analytics Experience: 8+ years of experience in analytics roles, working with large datasets to derive insights and support executive-level decision-making. Programming Knowledge: Proficiency in Python for automation, data manipulation, and integration tasks. SaaS Environment Acumen: Deep understanding of SaaS metrics, business models, and executive reporting needs. Cross-functional Collaboration: Demonstrated success in partnering with teams like Finance, Product, and RevOps to meet enterprise reporting and insight goals.

Daily Reconciliation: Assist with reconciling financial transactions between suppliers/operators and internal systems. Work with online payment gateways to ensure daily reconciliations are accurate. Refunds and Payment Gateway Costs: Maintain accurate records of refunds and payment gateway (PG) costs, ensuring they align with transactions. Issue Resolution: Identify discrepancies in reconciliation items and ensure theyre addressed promptly by collaborating with relevant stakeholders. Management Reporting: Prepare regular reports for management, summarizing the reconciliation process, discrepancies, and resolutions. Audit Preparation: Ensure timely completion of audits, working proactively to avoid any negative findings or observations. Process Improvement & Automation: Continuously look for opportunities to automate and streamline reconciliation and reporting tasks to increase efficiency. Accounting Skills: Possess knowledge of the P2P process, provisions, purchase, journal voucher (JV), and bank entries, as we'll as inter-company transactions. GST & TDS Knowledge: Understand Goods and Services Tax (GST) and Tax Deducted at Source (TDS). Payment Gateway Understanding: Have a fair understanding of payment gateway transactions and chargeback reporting. Knowledge of Online Transaction Processing: Understand how online transactions are processed, including payment gateway systems and refund processes. Data Handling: Ability to work with large volumes of financial data, ensuring accuracy in reconciliation tasks. MS Excel Proficiency: Strong skills in MS Excel, particularly with advanced features such as Power Query and VBA, to enhance data manipulation and reporting. Communication & Collaboration: Capable of communicating effectively with multiple stakeholders to ensure issues are resolved quickly. Multitasking & Time Management: Ability to handle multiple tasks simultaneously while working independently and managing time effectively. Verbal and Written Communication: Strong verbal and written communication skills to collaborate with stakeholders and produce clear reports. Dynamics 365 Business Central: Familiarity with Dynamics 365 Business Central, especially in the context of financial processes, would be an added advantage.

Roles & Responsibilities Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently. Understand Business & product problems and come up with deep data backed solutions. Root cause analysis and Deep dive analysis of certain product problems Running and maintaining the reporting system, presenting insights at a weekly forum Building templates, dashboards in Excel or on the intranet for operational and management reporting Data extraction as per business team request for Ad hoc analysis Business analysis and understanding Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of product performance Mentor Data analysts on day to day analysis and upskilling Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing Skills and Experience: 3-5 years of experience working with large datasets and conducting quantitative analysis. Strong understanding of statistics and prior experience in building statistical models, including hypothesis testing, product experimentation, A/B testing, and regressions. Expertise in SQL and advanced proficiency in Python for data manipulation and analysis. Previous experience working with e-commerce funnels and retention analysis. Applied knowledge of widely used analytics techniques, as well as emerging or niche techniques. Ability to conceptualize and analyze product and business metrics to assess and optimize product features. Knowledge of business modeling and basic financial metrics (bonus). Quick learner with the ability to adapt to a dynamic work environment. Team player with strong interpersonal skills and comfort in collaborating with cross-disciplinary teams. Proven expertise in designing and building dashboards, identifying key metrics, and ensuring intuitive layouts; adept at using tools like UDP and Power BI following best practices. Bachelor s degree in Computer Science, Engineering, or equivalent from a reputed institution.

ECMS ID 513251 Name of the Infosys PM and Employee No.* Vinodaran.d ECMS Request Number* Request Category (Opportunity/ Production) * (must be same as chosen in ECMS) Opportunity Number of openings 1 Job Title*Sr Data Scientist Work Location & Reporting Address* BANGALORE Vendor Rate* 9000 INR/Day Contract duration (in months)* 9 Months Skill Set/JD Required Skills and Experience: 8+ years of experience in data science or a related field. Experience with smart maintenance using Databricks and large language models (LLMs). Experience deploying models (ML or LLM) outside Cognite and consuming them through Cognite API. Understanding of supervised and unsupervised learning algorithms (e.g., regression, classification, clustering). Experience with deep learning and neural networks, particularly for LLMs. Expertise in natural language processing (NLP) techniques for text processing, sentiment analysis, and language generation. Experience working with models like GPT and BERT. Building conversational agents using LLMs and ML workflows. Techniques for model evaluation (e.g., cross-validation, A/B testing). Experience with JSON, REST APIs, and Data Modeling. Strong experience with Databricks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Experience with ETL processes. Ability to integrate data from different sources. Experience with Azure, AWS, or Google Cloud for data storage, processing, and deployment. Familiarity with continuous integration and continuous deployment processes for automating ML model and data pipeline deployment. BGV Check(post or pre-onboarding) Post Subcon Staffing end date: Dec ,2025 Niche Category (Niche/ Super Niche/Vanilla): Niche Client interview* (yes/No): Yes One person project* (yes/No) No Required Experience: >5 years Job Level JL5

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects.

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

About the Role : A global leader in technology innovation is seeking a highly skilled C++ Developer with a passion for competitive programming and logical reasoning to join our team. This critical role will focus on creating high-quality reasoning datasets to train and improve Large Language Models (LLMs). You will design structured programming challenges and reasoning tasks to enhance the problem-solving capabilities of advanced AI systems. This is an exceptional opportunity for individuals with strong problem-solving expertise to contribute to cutting-edge AI development and directly impact the future of LLMs. Job Responsibilities : - Dataset Creation : Design and create structured reasoning tasks rooted in programming challenges, specifically in C++, to effectively train LLMs. This includes defining problem statements, specifying input/output formats, and generating diverse test cases. - Problem Decomposition : Develop datasets that test and improve an LLM's ability to solve complex, multi-step problems, requiring clear and logical explanations of the solution process. This will involve breaking down problems into smaller, manageable sub-problems. - Collaboration : Collaborate closely with research scientists and engineers to ensure task objectives align with model training goals and contribute to the overall improvement of the LLM's performance. - Iteration and Refinement : Incorporate feedback from model performance analysis to iterate on and refine task designs, ensuring they effectively target areas for improvement in the LLM's reasoning and problem-solving abilities. - Quality Assurance : Maintain consistency and clarity in task descriptions, ensuring they meet high-quality standards for accuracy, completeness, and readability. This includes rigorous testing and validation of the generated datasets. - Documentation : Create and maintain clear documentation for the designed tasks, including problem descriptions, solution explanations, and any relevant metadata. Job Requirements : - Experience : At least 3 years of experience in software development, with a strong focus on C/C++ programming. - Programming Proficiency : Demonstrable expertise in C/C++ with a strong understanding of data structures and algorithms. - Analytical Skills : Excellent analytical and problem-solving skills, with the ability to break down complex problems into structured, logical steps. - Communication Skills : Proficient in English, with excellent written communication skills for crafting clear, concise, and logical explanations of programming solutions and reasoning processes. - Attention to Detail : Meticulous attention to detail in designing programming and reasoning tasks, ensuring accuracy and consistency. - Problem-Solving Prowess : A passion for problem-solving and a strong aptitude for logical reasoning. - Competitive Programming (Preferred) : A profile on platforms like LeetCode, HackerRank, Codeforces, or GitHub that demonstrates advanced problem-solving skills and competitive programming experience is a significant plus. - AI/ML Interest (Preferred) : Familiarity with or a strong interest in the field of Artificial Intelligence and Machine Learning, particularly related to LLMs, is a plus. Mandatory Skills : - C++ : 3+ years of experience Bonus Skills (Considered a Plus) : - Experience with other programming languages (e.g., Python). - Experience with data manipulation and analysis tools. - Knowledge of software testing methodologies. - Contributions to open-source projects

The ideal candidate will have experience in data privacy and protection, with a strong understanding of regulations such as GDPR, CCPA, and ISO 27001. They will be responsible for ensuring that the organizations data handling practices are compliant with these regulations, and will work to implement data governance policies and procedures to protect sensitive information. The successful candidate will have strong data analysis skills, with the ability to collect and analyze data to inform data governance and consent management decisions. They will be responsible for developing and implementing consent management processes, and will work to ensure that the organization is transparent and compliant in its data handling practices, with a focus on data privacy and protection. Ab out the Role: In this opportunity as the Data Analyst and Privacy Operations, you will: We are seeking a detail-oriented and experienced Data Analyst to join our Data Integrity & Identity team, with a focus on Privacy Operations. This team is an enabling function within our Responsible AI pillar, responsible for ensuring the organizations compliance with data protection regulations such as GDPR, CCPA, and ISO 27001. The team is focused on helping business functions implement technology and automated solutions to enhance compliance with personal data legislation and adhere to data management best practices. The Data Analyst will support the data integrity and identity program by applying privacy by design principles on a global scale, with a focus on data privacy, data protection, and consent management. This individual will assist with a variety of projects, including consent management, cookie compliance, data residency, and enterprise identity, ensuring that each aligns with our privacy objectives. This role is ideal for someone with a keen interest in how technology and automation can be leveraged to improve the handling of personal data on a global scale, with a focus on data privacy, data protection, and consent management. The successful candidate will demonstrate a strong understanding of data analysis, data governance, and data protection principles About You: Youre a fit for the role of Data Analyst, if you meet all or most of these criteria: A minimum of 3-6 years in a data analyst role, preferably within the data governance or privacy space. Key responsibilities include preparing engaging socialization materials to communicate the programs value and achievements to stakeholders, leveraging their proficiency in MS Office (Excel and PowerPoint), Azure DevOps, PowerBI, and Lucidchart. Additionally, the analyst should be able to demonstrate a strong technical understanding that would enable them to execute tasks like cookie scanning and categorization and the manipulation of extensive data sets and CSV files, to support our reporting requirements. Seeking candidates with proven experience in data migration projects, ensuring smooth data transfer between systems while upholding data integrity and adhering to privacy regulations. Looking for individuals with strong skills in data mapping to effectively align data sources with target systems, guaranteeing accurate and consistent data representation across different platforms. Require proficiency in managing and analyzing large datasets, utilizing tools such as Power BI and advanced Excel techniques to facilitate data-driven insights and support decision-making. Candidates should have experience or a keen interest in working with consent management solutions, focusing on enhancing practices and ensuring compliance with data handling regulations. A degree in Information Technology, Data Science, Computer Science, or a related field. Proficiency in data management tools and ETL processes, with experience using Power BI and data visualisation platforms. Advanced expertise in MS Office, particularly MS Excel, to effectively manage and analyze large CSV files and extensive datasets, ensuring accurate data manipulation and reporting. Experience with large-scale data handling, including working with extensive datasets and CSV files, to support efficient data manipulation and reporting. Strong analytical and problem-solving skills to support data integration, mapping, migration and data residency projects. Keen attention to detail to ensure data accuracy and integrity throughout the handling and reporting processes. This position plays a vital role in ensuring our data integrity and identity practices are strong, compliant, and aligned with our strategic objectives. If you are a creative thinker passionate about enhancing personal data controls, we encourage you to apply. #LI-VGA1 What’s in it For You Hybrid Work Model We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our valuesObsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound excitingJoin us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com.

1 Data Engineer >10 JL5 2 526567 Offshore/Anywhere ECMS ID 526567 Name of the Infosys PM and Employee No.* Vinodaran.d ECMS Request Number* Request Category (Opportunity/ Production) * (must be same as chosen in ECMS) Opportunity Number of openings 1 Job Title*Sr Data Engineer Work Location Offshore, India Vendor Rate* 9000 INR/Day Contract duration (in months)* 9 Months Skill Set/JD Required Skills and Experience: 10+ years of experience in data engineering with a strong focus on Databricks. Experience with Databricks interface, including the workspace, clusters, and notebook organization. Knowledge of how notebooks integrate with Azure services such as Azure Data Lake and Azure Blob Storage. Strong knowledge of Python, SQL, and Spark for data transformation and writing code in notebooks for data manipulation and analysis. Hands-on experience with Microsoft Power Platform. Experience with JSON, REST APIs, and Data Modeling. Proficiency in CI/CD tools and processes. Strong analytical and problem-solving skills. Design, develop, and maintain scalable data pipelines using Databricks. Implement CI/CD processes to automate and streamline data workflows. Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver solutions. BGV Check(post or pre-onboarding) Post Subcon Staffing end date: Dec ,2025 Niche Category (Niche/ Super Niche/Vanilla): Niche Client interview* (yes/No): Yes One person project* (yes/No) No Required Experience: >10 years Job Level JL5

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview Analyze Marketing Campaigns: Evaluate the effectiveness of marketing campaigns and demand generation programs in driving leads, customer acquisition, and revenue growth for the business unit. Data Analysis Across Channels: Examine marketing and sales data from various sources including CRM systems, web analytics, social media, email campaigns, search, direct sales, and indirect sales to assess campaign performance, gauge customer engagement, and identify opportunities for optimization and growth. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Go beyond reporting numbers by crafting compelling narratives that help stakeholders quickly grasp insights and take action. Develop intuitive visualizations and presentations that turn complex datasets into clear, persuasive business stories. Trend and Pattern Identification: Dive into large datasets to uncover patterns, trends, and customer segments to refine targeting strategies and personalize marketing efforts effectively. Operational Efficiency: Identify opportunities to streamline operations, promote data-driven decision-making, and support business growth through analytical initiatives. Predictive Analytics: Utilize statistical models and machine learning techniques to forecast customer behavior and anticipate marketing performance outcomes. Dashboard and Report Development: Develop and maintain dashboards, reports, and key performance indicators (KPIs) to measure and communicate the effectiveness of marketing initiatives. Data Accuracy and Consistency: Ensure the accuracy, consistency, and reliability of data collection, processing, and reporting methodologies. Cross-Functional Collaboration: Collaborate closely with marketing, sales, and product teams to align data insights with business objectives and inform strategic planning. Automated Reporting: Create automated reports on a weekly, monthly, and quarterly basis to provide timely insights into marketing performance. Ad Hoc Analysis: Conduct ad hoc data analyses and performance reports as required to address specific business questions or challenges. Advanced Analytics Tools Utilization: Leverage analytics tools such as Adobe Analytics, Tableau, SQL, Python, and Alteryx to extract, analyze, and visualize data effectively What your background should look like: 4+ years in marketing analytics, business intelligence, or a related field 2+ years of experience analyzing sales and marketing data Strong ability to identify business issues, formulate plans to resolve these issues and effectively communicate the results to all levels of the organization Proficiency in data visualization (Tableau or similar visualization tools) along with story telling Proficiency in SQL or Python for data manipulation and analysis. Experience in AWS, R, regression, Machine learning etc. and Knowledge of predictive modeling, machine learning, or AI-driven marketing analytics is a plus Experience with marketing analytics platforms and has worked/understanding on digital marketing data Adobe Analytics, Google Analytics, CRM systems (Salesforce, Hubspot etc.), SEO, SEM, SMM, email and marketing automation tool (Eloqua, Marketo etc.) Competencies ABOUT TE CONNECTIVITY TE Connectivity plc (NYSETEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at www.te.com and on LinkedIn , Facebook , WeChat, Instagram and X (formerly Twitter). Location

Accounts Lead / Lead Data Scientist (Job Order 277) Current Available Openings Position Details: Accounts Lead / Lead Data Scientist (Job Order 277) Description: Job Title: Lead Data Scientist Reports To: CEO Job Summary: We are seeking a highly skilled and experienced Data Scientist with 6+ years of hands-on experience in data science, analytics, and stakeholder engagement. The ideal candidate should have strong expertise in Python , Tableau , Snowflake , Machine Learning, Statistical testing and should be comfortable driving business insights through storytelling and daily interactions with stakeholders. Key Responsibilities: Design, build, and deploy scalable machine learning models to solve complex business problems Write and optimise complex SQL queries, particularly on the Snowflake platform Develop insightful dashboards and visualisations using Tableau Conduct data exploration, cleaning, and transformation using Python & R and relevant libraries (Pandas, NumPy, Scikit-learn, etc.) Perform A/B testing & other statistical techniques Translate analytical insights into clear, compelling stories and recommendations for stakeholders Collaborate cross-functionally with product, engineering, and business teams to understand data needs and deliver solutions Present findings and recommendations to both technical and non-technical stakeholders regularly Requirements: 6+ years of professional experience in data science or advanced analytics Strong proficiency in Python for data manipulation, analysis, and modelling Proven experience in building dashboards and reports using Tableau Expertise in writing complex SQL queries , especially on Snowflake Solid understanding of machine learning techniques, statistical tests and model deployment best practices Excellent communication and storytelling skills to convey data-driven insights Comfortable working closely with stakeholders daily to gather requirements and present findings

Please find the job description for your kind perusal. Role : Python Programmer with Power BI Experience: 10+ years Shift : Indian Day Time Work Mode : REMOTE Responsibilities: Develop Python scripts and applications to support data processing and analysis tasks Design and develop Power BI reports and dashboards to visualize data insights Collaborate with data analysts and business stakeholders to understand requirements and deliver solutions Optimize and maintain existing Python and Power BI solutions for performance and scalability Stay current with industry trends and best practices in Python programming and Power BI development *Requirements: ~Proficiency in Python programming language ~Experience working with Power BI to create interactive reports and dashboards ~Strong understanding of data visualization principles ~Ability to work independently and as part of a team ~Excellent communication and problem-solving skills ~Bachelor s degree in Computer Science, Information Technology, or related field *Preferred Qualifications: ~Experience with data manipulation and analysis using SQL ~Knowledge of data warehousing concepts and ETL processes ~Certification in Power BI or related technologies If you are a skilled Python developer with a passion for data visualization using Power BI, we encourage you to apply for this exciting opportunity and revert to the following details along updated resume for further communication to jobs@ukbitsolutions.com

The Visual Annotation Services team within Amazon Fashion Tech powers new products that deliver various CXs, using ML/AI to the fashion domain. Our team of Fashion Specialists provide high-quality labeled fashion data at high-speed and low-cost for Machine Learning (ML) and Computer Vision (CV) technologies, enabling delightful customer experiences. We partner with product and science teams to support launching new customer-facing fashion experiences and assist them throughout the product lifecycle. Were the team that thrives in a start-up like environment where flexibility, teamwork and ability to deliver solutions are a priority. You will have the opportunity to conceptualize, design and build AI driven experiences across the Amazon retail website and the Amazon Shopping mobile app. You will collaborate with various partner teams throughout Amazon and you will be a key member of a team thats building innovative new experiences that will change customers lives. Amazon Fashion is revolutionizing how customers shop and buy clothing. Our business uses machine learning technology and stylist intuition to give great personalized recommendations based on customer preferences. If you are ready to work hard and engage in a rapidly changing industry, this position is right for you. We offer a creative, fast paced, entrepreneurial work environment where you ll be driving various innovation at Amazon. We are looking for a Team Manager to build out and lead a team of annotation experts, who are fashion specialists, working closely with counterparts in the United States. The team you manage will annotate fashion images to provide data to train algorithms for fashion experiences across Amazon. The successful candidate will have a strong passion for design, photography, fashion and tech, a relentless desire to drive process improvement, and build a great team culture. Leading and developing a team of associates with fashion background Support the strategy for the team, drive clear goals and vision for initiatives Managing individual and team performance expectations and goals Working with third-party agencies and recruiting to recruit team members and onboard new hires Partnering with our training lead to develop and train Fashion Specialists and team managers and understanding and effectively utilize resources provided by internal systems, departments, policies, and procedures Developing our team practices and managing our workforce to create an exciting, supportive, ambitious and innovative culture Understanding different local fashion trends and deep diving into Amazon customers fashion preferences, and using this information to develop new styling strategies Delivering results quickly with little supervision in a dynamic and often ambiguous environment. Communicating effectively, including verbal and written skills, and influencing across levels Demonstrating strong business acumen, including problem solving skills, critical thinking, and a willingness to be vocally self-critical Bachelor degree on design/photography/fashion or any graduation with 3+ years related experience 2 + years demonstrating success managing a team with a track record of driving high performance Experience in fashion Strong oral (speaking, listening, interpretation) and written communication skills Strong analytical skills; you are someone who wants to dive into the numbers and seek to understand and has depth of experience in Excel Experience in understanding performance metrics and developing them, as required Demonstrated history delivering results in cross-functional environments; ability to drive organizational change using sound reasoning backed up by relevant data in a well-prepared business briefing A sense of urgency and an appreciation for working in a fast-paced, deadline-oriented environment Comfort with ambiguity; ability to be flexible in a rapidly changing environment Exposure to process improvement/quality control tools and methods. Exceptional skills in data manipulation and analysis. Capacity planning. Proficiency in writing and understanding code.

Preparing active skus list for amazon, walmart, ebay Magento stores. Preparing buy box report for the skus across the marketplaces. Ensure across the board are the prices according to our policy implemented. Responsible updating the pricing rules in our dashboard making the process automated with our any discrepancy in the primary database. Understand reports and take necessary data manipulation actions. Compiling data and performing analytics. Pull data from various sources using Excel formulas and arrange it in the templates as per the system requirements to upload. Manual Data Processing which includes Data cleansing, scrubbing, and transformation using MS Excel. Troubleshoot issues relating to items that are not active, or listings that might be suppressed due to price Responsible on Amazon StoreBuy box stuck sku price change, Responsible on price alerts Responsible on non-automated skus Responsible on having complete price structure on all the skus on store Assessing data from a variety of sources to gain insights into pricing strategies and market trends. Analyzing competitor pricing and market trends to increase market share and profitability. Applying statistical modeling methods to determine the potential impact of pricing strategies on profitability. Developing dynamic pricing tools to effectively respond to changing market needs and trends. Preparing and presenting pricing analysis findings to executives, marketing teams, and sales staff. Proficiency in MS-excel Should be comfortable to work with with numbers/statistics Should have excellent data manipulation skills Bachelors Degree (preferably in maths,statistics ) 4-5 years of relevant experience Good with numbers

Job Information Job Opening ID ZR_2231_JOB Date Opened 22/04/2024 Industry Technology Job Type Work Experience 5-8 years Job Title CDP Specialist City Bangalore Province Karnataka Country India Postal Code 560029 Number of Positions 5 Responsibilities As a CDP Specialist, you will be responsible for managing and optimizing customer data platform solutions. The candidate should be proficient in data management, segmentation, analytics, and campaign execution. This role requires a blend of technical expertise, strategic thinking, and hands-on execution to drive business growth through effective utilization of customer data. 1. Manage and maintain the Customer Data Platform (CDP) infrastructure, including data ingestion, integration, and storage. 2. Collaborate with cross-functional teams to understand data requirements and implement data governance best practices. 3. Develop and execute segmentation strategies to target specific customer segments based on behavior, demographics, and other relevant attributes. 4. Utilize data analytics tools to derive actionable insights from customer data and make recommendations for marketing campaigns and product improvements. 5. Design and implement personalized marketing campaigns across multiple channels (email, SMS, push notifications, etc.) using the CDP platform. 6. Monitor and optimize campaign performance based on key metrics such as engagement, conversion rates, and ROI. 7. Conduct A/B testing and multivariate analysis to improve campaign effectiveness and drive continuous improvement. 8. Stay updated on industry trends and best practices related to customer data management, marketing automation, and CDP technologies. 9. Train and support internal teams on using the CDP platform effectively for their respective functions. 10. Collaborate with IT and third-party vendors to troubleshoot technical issues and ensure the smooth functioning of the CDP platform. Skills Required: 1. Bachelors degree in marketing, Business Administration, Information Technology, or related field. Advanced degree or relevant certifications are a plus. 2. Proven experience (5 years) working with Marketing Cloud and Customer Data Platforms such as Salesforce Marketing cloud, Data Cloud, Web Engage, Segment, Adobe Audience Manager, etc. 3. Strong proficiency in SQL, JSON, data manipulation, and data visualization tools (e.g., Tableau, Power BI). 4. Experience with marketing automation tools (e.g., Salesforce Marketing Cloud, Marketo, HubSpot) and CRM platforms (e.g., Salesforce, Microsoft Dynamics) is preferred. 5. Excellent analytical skills with the ability to translate data into actionable insights and recommendations. 6. Solid understanding of data privacy regulations (e.g., GDPR, CCPA) and best practices for data security. 7. Strong communication and collaboration skills with the ability to work effectively across multiple teams and stakeholders. 8. Detail-oriented with a focus on accuracy and quality of data. 9. Ability to thrive in a fast-paced environment and manage multiple priorities simultaneously. 10. Flexibility to adapt to evolving business needs and technologies. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1594_JOB Date Opened 29/11/2022 Industry Technology Job Type Work Experience 6-10 years Job Title AWS GLUE Engineer City Pune Province Maharashtra Country India Postal Code 411001 Number of Positions 4 Roles & Responsibilities: Provides expert level development system analysis design and implementation of applications using AWS services specifically using Python for Lambda Translates technical specifications and/or design models into code for new or enhancement projects (for internal or external clients). Develops code that reuses objects is well-structured includes sufficient comments and is easy to maintain Provides follow up Production support when needed. Submits change control requests and documents. Participates in design code and test inspections throughout the life cycle to identify issues and ensure methodology compliance. Participates in systems analysis activities including system requirements analysis and definition e.g. prototyping. Participates in other meetings such as those for use case creation and analysis. Performs unit testing and writes appropriate unit test plans to ensure requirements are satisfied. Assists in integration systems acceptance and other related testing as needed. Ensures developed code is optimized in order to meet client performance specifications associated with page rendering time by completing page performance tests. Technical Skills Required Experience in building large scale batch and data pipelines with data processing frameworks in AWS cloud platform using PySpark (on EMR) & Glue ETL Deep experience in developing data processing data manipulation tasks using PySpark such as reading data from external sources merge data perform data enrichment and load in to target data destinations. Experience in deployment and operationalizing the code using CI/CD tools Bit bucket and Bamboo Strong AWS cloud computing experience. Extensive experience in Lambda S3 EMR Redshift Should have worked on Data Warehouse/Database technologies for at least 8 years. 7. Any AWS certification will be an added advantage. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

4+yrs Data science,ML frameworks,MLOps, Python, Data engineering,Cloud platforms,Edge computing,Data manipulation libraries,Model development,Object,Experiment, design,Ab testing. Reach me at mailcv108@gmail.com or WhatsApp me at +91 9611702105

Role & responsibilities Key Responsibilities: Analyze large datasets to identify trends, patterns, and business insights for strategic decision-making. Develop and maintain reports, dashboards, and visualizations using tools like Power BI, Tableau, and SQL. Oversee data collection, cleaning, and validation processes to ensure accuracy and consistency. Collaborate with Business Analysts, Data Engineers, and stakeholders to define data requirements and improve reporting structures. Use predictive analytics and machine learning models to forecast business outcomes. Provide recommendations based on data insights to enhance operational efficiency and growth strategies. Work closely with cross-functional teams to support process automation, data governance, and compliance. Ensure data integrity and security in all reporting processes. Lead and mentor junior data analysts, guiding them in best practices and data analysis techniques. Preferred candidate profile Qualifications: Bachelors or Master’s degree in Data Science, Statistics, Computer Science, or a related field. 3-7 years of experience in data analysis, business intelligence, or related roles. Strong proficiency in SQL, Python, and data visualization tools (Power BI, Tableau). Experience in data modeling, ETL processes, and predictive analytics. Knowledge of statistical analysis and machine learning models is a plus. Excellent problem-solving skills, with the ability to interpret complex data and deliver actionable insights. Strong communication skills with stakeholder engagement and presentation experience. Ability to work independently and collaboratively in a fast-paced, data-driven environment. This role offers an exciting opportunity for an experienced Data Analyst to take a leadership role in driving data-informed strategies that enhance business outcome"

Job Title: Adoption Analytics Specialist – Change Management Management Level :CL9 Location:Bangalore/ Gurgaon Must have skills:Change Management Good to have skills: About Our Company | Accenture Job Summary : The Adoption Analytics Specialist plays a crucial role in measuring and analyzing the success of change initiatives by providing data-driven insights. This role supports the Change Management team by developing dashboards, tracking key performance indicators (KPIs), and generating reports that assess adoption rates, employee engagement, and the effectiveness of transformation efforts. Key Responsibilities: Develop and maintain dashboards and reports to track adoption metrics, employee engagement, and overall impact of change initiatives. Collect, analyze, and interpret data to identify trends, challenges, and opportunities for improvement in change adoption. Collaborate with cross-functional teams to establish meaningful KPIs and benchmarks for success. Use data visualization tools (e.g., Power BI") to create compelling and easy-to-understand insights. Conduct surveys and gather feedback from employees to gauge sentiment and readiness for change. Support Change Management strategies by providing real-time analytics that guide decision-making and strategy adjustments. Work closely with leadership to ensure data-driven insights align with business objectives and transformation goals. Identify gaps in adoption and propose actionable recommendations to enhance user engagement. Stay updated with industry best practices in change analytics and reporting methodologies. Qualifications & Skills: Bachelor's degree in data Analytics, Business Intelligence, Organizational Development, or a related field. 6+ years of experience in data analysis, business intelligence, or a related role. Proficiency in data visualization tools such as Tableau, Power BI, or similar platforms. Strong analytical skills with the ability to interpret complex data sets and provide actionable insights. Experience working with survey tools, feedback analytics, and sentiment analysis. Proficiency in Excel, or other data manipulation tools. Communication and presentation skills to convey insights to non-technical stakeholders. Ability to work collaboratively with cross-functional teams and adapt to evolving business needs. Preferred Qualifications: Familiarity with digital transformation initiatives and technology adoption analytics. Certification in Data Analytics or Business Intelligence . Why Join Us? Opportunity to be at the forefront of driving data-driven change in an evolving organization. A collaborative and inclusive work environment that values innovation. If you have a passion for analytics and a desire to influence change adoption through data, we encourage you to apply! Qualification Experience: Minimum 6 year(s) of experience is required Educational Qualification: B.Tech/BE/Bcom/MBA Any graduation

About Us InMobi is the leading provider of content, monetization, and marketing technologies that fuel growth for industries around the world. Our end-to-end advertising software platform, connected content, and commerce experiences activate audiences, drive real connections, and diversify revenue for businesses everywhere. InMobi Advertising is an end-to-end advertising platform that helps advertisers drive real connections with consumers. We drive customer growth by helping businesses understand, engage, and acquire consumers effectively through data-driven media solutions. Learn more at advertising.inmobi.com . Glance is a consumer technology company that operates disruptive digital platforms, including Glance, Roposo, and Nostra. Glance s smart lockscreen and TV experience inspires consumers to make the most of every moment by surfing relevant content without the need for searching and downloading apps. Glance is currently available on over 450 million smartphones and televisions worldwide. Learn more at glance.com . Born in India, InMobi maintains a large presence in Bangalore and San Mateo, CA, and has operations in New York, Singapore, Delhi, Mumbai, Beijing, Shanghai, Jakarta, Manila, Kuala Lumpur, Sydney, Melbourne, Seoul, Tokyo, London, and Dubai. To learn more, visit inmobi.com . Who are we and What do we do? InMobi Group s mission is to power intelligent, mobile-first experiences for enterprises and consumers. Its businesses across advertising, marketing, data and content platforms are shaping consumer experience in a world of connected devices. InMobi Group has been recognized on both the 2018 and 2019 CNBC Disruptor 50 list and as one of Fast Company s 2018 World s Most Innovative Companies. What s the InMobi family like? Consistently featured among the Great Places to Work in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. InMobians are passionate and driven, creative and fun loving, take ownership and are results focused. We invite you to free yourself, dream big and chase your passion. What do we promise? We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for InMobi and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At InMobi, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. What will you be doing? Microsoft and InMobi have entered into partnership. As per which, InMobi will be partner for Microsoft s search inventory. Microsoft Search Advertising empowers the largest advertisers around the world to reach their maximum potential through paid search engine marketing on the Microsoft Bing Ads platform. InMobi will be responsible for complete management / transaction across Bing. We are seeking an Account Specialist with search advertising experience, attention to detail, customer obsession, and a passion to learn and adapt in an evolving environment. The individual in this role will support Sales and Account management leads to manage an assigned set of clients focused on attaining revenue targets, feature adoption, and client-driven goals. The Account Coordinator will build trusted-advisor status with their account team and clients through flawless customer management and data-driven solutions including report creation, opportunity management and tactical execution / implementation of search optimizations and feature adoption. What is expected out of you ? 1-3 years working in search engine marketing Working knowledge of Internet advertising: CPA, CPM, CPC, search marketing, lead generation, direct response, etc. Experienced using Excel to analyze information, Advance Excel, SQL, including data manipulation and data analysis Critical thinker who is organized and can make decision based on clear priorities Problem solver and multitasker who can partner well with other teams Collaborative teammate who can build successful team relationships with partners; and can prioritize multiple tasks Excellent written and verbal communication skills Flexible and able to quickly adapt to changing business needs and processes Positive and creative can do attitude with a strong work ethic Self-motivated and willing to contribute ideas Fluency in English Location : Bangalore Preferred Bing Ads Certification The InMobi Culture At InMobi, culture isn t a buzzword; its an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences. We thrive on challenges and seize every opportunity for growth. Our core values of thinking big, being passionate, showing accountability, and taking ownership with freedom - guide us in every decision we make. We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program. InMobi is proud to be an Equal Employment Opportunity and we make reasonable accommodations for qualified individuals with disabilities. Visit https: / / www.inmobi.com / company / careers to better understand our benefits, values, and more!

About the role As a SDET Data Test Automation Engineer, you will make an impact by ensuring the integrity of data transformations on our data platform which works with large datasets and to enhance our testing capabilities with UI and API automation. You will be a valued member of the AI Analytics group and work collaboratively with development and product teams to deliver robust scalable and high-performing data test tools. In this role, you will: Design develop and maintain automated test scripts for data validation transformation API and UI testing Conduct data testing using Python frameworks like Pandas, PySpark & Pytest Analyze test results identify issues and work on resolutions Ensure that automated tests are integrated into the CICD pipeline Work on data transformation processes including validating rule-based column replacements and exception handling Collaborate with development and product teams to identify test requirements and strategies UI and API test automation using Playwright and Requests Validate large datasets to ensure data integrity and performance Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or respective location in Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you must have to be considered Strong programming skills in Python Proficiency in data manipulation and testing libraries like Pandas, PySpark & Pytest Hands on experience with AWS services like S3 Lambda Familiarity with SQL for data transformation tasks These will help you stand out Strong experience with API and UI test automation tools and libraries Excellent problem-solving and analytical skills & strong communication and teamwork abilities Familiarity with CICD pipelines and tools like Jenkins, Docker & Kubernetes Good to have experience with databases like Trino iceberg, Snowflake and Postgres Good to have experience on Polars Fugue Experience with cloud tools like Kubernetes EKS, AWS Glue & ECS Certification : AWS, Python We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

About the role As an Ab Initio Admin, you will make an impact by leveraging your expertise in data warehousing and ETL processes & driving data integration solutions. You will be a valued member of the AI Analytics group and work collaboratively with CMT team members. In this role, you will: Develop and implement efficient ETL processes using Ab Initio tools to ensure seamless data integration and transformation Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs Optimize data warehousing solutions by applying advanced scheduling techniques and SQL queries Troubleshoot and resolve data-related issues to maintain system reliability and performance Provide technical expertise in Ab Initio Conduct>It and Co>Operating System to enhance data processing capabilities Ensure data accuracy and consistency by conducting thorough testing and validation of ETL processes Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in your respective work location. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you must have to be considered Possess strong knowledge of data warehousing concepts and scheduling basics to design effective data solutions Demonstrate proficiency in ETL processes and SQL for efficient data manipulation and transformation Have hands-on experience with Ab Initio GDE and Conduct>It for robust data integration Utilize Unix Shell Scripting to automate routine tasks and improve operational efficiency These will help you stand out Show expertise in Ab Initio Co>Operating System to optimize data processing workflows Exhibit skills in Unix Shell Scripting to automate tasks and streamline operations Display a collaborative mindset to work effectively in a hybrid work model and day shift environment We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

The Programmatic Analytics team at Zeta Global provides full reporting, actionable audience insights and campaign strategy support to both external customers and internal teams. While working with external customers, our analysts partner with the Zeta Sales and Account Management teams to monitor Zetas optimization platform across various verticals, design Real-time Brand Lift surveys and deliver actionable insight presentations for all Programmatic clients. Liaising with internal teams, our Analysts also provide feedback to our Product and Engineering teams on Zetas optimization platform, task automation and A.I. model features to advance the reliability, reach, and effectiveness of programmatic campaigns and to help drive overall company revenue goals. As an Analyst, youll be responsible for a number of tasks, including (but not limited to) compiling campaign performance and audience insights for all executed media, setting up Zeta surveys, assist in monitoring survey performance, help with optimization efforts and help drive campaign performance. Youll work closely with the Sales and Customer Success teams to achieve client goals through brand and acquisition campaigns, campaign optimization, and/or online A/B testing strategy. While every day will offer a different challenge, day-to-day, your role will include: Diving into large campaign data sets, uncovering insights, and providing impactful recommendation for clients through thoughtfully crafted storytelling. Deliverables include monthly campaign reporting, quarterly and campaign wrap reporting via PowerPoint. Set up and monitor Zeta client surveys and Zeta Marketing surveys Work with the Zeta Sales and Account Management teams to ensure surveys are executed successfully Work with internal teams to compile survey insights once surveys are completed Assist in pulling/setting up custom reports, as requested Assist in growing Zetas Programmatic revenue quarter over quarter via campaign support, optimizations and incremental Who you are: A great communicator, comfortable speaking with clients, team members and C-Level Members alike and can convey complex technical features in simple terms Someone with an aptitude for media and strategy and able to contextually relay concepts to clients Able to multitask and prioritize high-priority requests with specific SLAs Have a high degree of creativity, self-motivation, and drive Eagerness to work in a team environment that will be constantly changing day to day Enthusiastic team player with a penchant for collaboration and knowledge sharing Data driven, technical, self-starting, and curious What you need: 1 year of working experience in Programmatic, AdTech or MarTech Space Programmatic Advertising knowledge a plus Experience with SQL query language, Tableau, HIVE, Python, Vertica, PowerPoint and Excel/pivot tables Excellent presentation/visualization/storytelling skills Excellent troubleshooting and diagnostic skills Professional oral and written communication skills Bachelors degree in Media, Business, Economics, Statistics, Marketing and/or equivalent experience Bonus if you have: Experience in a digital media/Programmatic analytics role Experience pulling data & putting together actionable audience insights reports across different programmatic channels Experience with VBA/Excel Macros, Tableau, Python or other data manipulation tools a plus

We are from Grocery and Everyday Essentials team in India. We are working on scaling Amazon Now, Amazon Indias foray into Quick Commerce in India. We are looking for a smart and result-oriented Senior Marketing Manager to grow our business via deals and event days including topical events. This role demands the agility to navigate across multiple functions seamlessly, the resilience to thrive in a fast paced environment, excitement to handle challenges head-on and excellence in analytical abilities. Were seeking someone who thrives on ambiguity, harnessing their first-principle problem-solving skills to drive impactful outcomes. Your ability to cultivate a customer-centric mindset, coupled with a penchant for out-of-the-box thinking, will be instrumental in navigating the complex landscape of our initiative. This role will be responsible for driving user growth and retention by managing brand strategy, performance marketing, and communications. The ideal candidate will use both data-driven and qualitative consumers insights to drive brand awareness and acquisition for Amazon Now. This person will be involved in coordinating with designers, Amazons central marketing team and other people in similar roles across the business. An ideal candidate will have the following qualities: 1. Excellent writing and verbal communication abilities 2. Attention to detail and ability to multitask and manage multiple projects 3. Strong analytical thinking and problem-solving abilities 4. Capable of identifying, attracting and engaging target audiences 5. Proven experience on brand and performance marketing 6. Proficiency in channels like Meta, Google, OTTs, affiliates and traditional media 1. Develop and execute comprehensive events strategies aligned with business objectives. 2. Conduct thorough research to understand consumer behavior, market trends, and competitor activities. 3. Define and refine brand positioning, messaging, and visual identity to create a strong brand image. 4. Oversee and guide the creative development of all brand assets across channels. 5. Plan, execute, and evaluate marketing campaigns to increase brand awareness, traffic, consideration, trial and habit formation. 6. Track and analyze key brand performance metrics, such as brand awareness, customer perception, and market share, to identify areas for improvement. 7. Effectively communicate with cross-functional teams, clients, and stakeholders to ensure brand consistency and alignment. 8. Manage the brand budget effectively and optimize marketing spend to achieve the best return on investment. A day in the life - About the team - - 6+ years of professional non-internship marketing experience - 7+ years of developing and managing acquisition marketing or channel programs experience - Experience using data and metrics to drive improvements - Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables) - Experience building, executing and scaling cross-functional marketing programs - Experience developing and executing campaigns across a multitude of timezones and languages - Experience driving direction and alignment with large cross-functional teams and agency partners - Experience designing and executing joint marketing plans with strategic alliance partners with global footprint

Lead the creation of Dashboards, KPI Reports, and Scorecards for various business functions. Monitor (KPIs) and develop automated tools. to identify trends, patterns, and opportunities for business improvement. Work closely with Sr. Leadership team. Required Candidate profile Candidate with relevant experience in Business Analyst role and related areas. Having an experience in Qliksense, Qlikview, Automated tools.