Lead data analyst

About Target

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our

values, culture, and commitment to delivering exceptional guest experiences.

About the Team

The Marketing Analytics and Insights team enables Target’s marketing organization to make faster, smarter, and

more scalable decisions through data, measurement, reporting, and advanced analytics.

The team partners closely with marketing leaders, business stakeholders, data product teams, product owners,

data scientists, engineers, and technology partners. We translate complex marketing data into actionable insights

that improve media effectiveness, optimize marketing investments, strengthen guest engagement, and drive

profitable business growth.

About the Role

As a Lead Data Analyst within the Marketing Media Measurement Analytics team, you will serve as a strategic

analytics partner to Target’s marketing organization. You will lead complex analytical workstreams that measure

marketing performance, evaluate media effectiveness, optimize marketing investments, and identify opportunities to

improve business outcomes.

You will independently translate ambiguous business questions into structured measurement frameworks and

scalable analytical solutions. Your work will span campaign and channel performance, marketing investment

effectiveness, audience and guest behavior, experimentation, forecasting, and advanced measurement

methodologies.

You will combine strong analytical rigor, marketing acumen, technical expertise, and executive-level storytelling to

influence marketing strategies and investment decisions. You will also partner with data product, engineering, data

science, and technology teams to build sustainable data capabilities, standardized metrics, and reusable analytical

solutions.

This is a hands-on leadership role requiring the ability to move between strategic problem-solving, detailed

analysis, stakeholder consultation, technical solution design, and communication with senior leaders.

Key Responsibilities

Marketing Measurement and Business Insights

• Serve as a strategic analytics partner to marketing leaders, helping define measurement priorities, analytical roadmaps, and decision-support capabilities.
• Measure and evaluate marketing performance across campaigns, media channels, audiences, guest segments, and business outcomes.
• Develop analytical frameworks that connect marketing investments and guest engagement to downstream outcomes such as conversion, sales, profitability, and incremental business impact.
• Evaluate media and campaign effectiveness using relevant performance, efficiency, and return metrics.
• Identify key performance drivers, emerging trends, investment opportunities, and areas of marketing inefficiency. MARKETING ANALYTICS AND INSIGHTS Lead Data Analyst | Marketing Media Measurement Analytics 2Page
• Apply guest- and household-level insights to understand how marketing interactions influence engagement, shopping behavior, and purchase decisions.
• Support the development and application of advanced marketing measurement capabilities, including Marketing Mix Modeling, campaign testing, forecasting, segmentation, and driver analysis. Advanced Analytics and Problem-Solving
• Independently translate ambiguous business problems into clearly defined analytical questions, hypotheses, methodologies, and decision frameworks.
• Apply statistical and analytical techniques such as regression, time-series modeling, classification, segmentation, forecasting, scenario analysis, and predictive or prescriptive analytics.
• Partner with stakeholders to design robust marketing tests, define success metrics, evaluate test results, and translate findings into actionable recommendations.
• Assess the quality, reliability, and limitations of analytical outputs, including assumptions, data constraints, statistical significance, and potential sources of bias.
• Move beyond reporting what happened to explain why performance changed, what actions should be taken, and what outcomes can reasonably be expected. Data, Reporting, and Analytical Solutions
• Query, manipulate, model, and analyze large-scale structured and unstructured datasets using SQL, Python, R, Spark, BigQuery, Hive, or similar technologies.
• Determine the most effective approach to gather, integrate, transform, and analyze data from multiple marketing, guest, digital, media, and transaction sources.
• Design and deliver scalable reporting, dashboards, analytical datasets, decision-support models, and measurement solutions.
• Establish consistent metric definitions, analytical methodologies, data-quality controls, and validation processes across marketing measurement products.
• Partner with product owners, data engineers, data scientists, and technology teams to develop reliable data pipelines and sustainable analytics capabilities.
• Contribute to the design and architecture of enterprise-level data, business intelligence, and marketing measurement solutions.
• Create clear documentation covering methodologies, assumptions, business rules, metric definitions, analytical logic, data lineage, and solution design. Stakeholder Leadership and Communication
• Build trusted relationships with marketing leaders, business partners, product teams, engineering teams, and analytical stakeholders.
• Understand stakeholder priorities and roadmaps, validate analytical requirements, and align analytical work with measurable business outcomes.
• Synthesize complex analysis into clear, executive-ready narratives that communicate the business implication, recommended action, and expected impact.
• Present findings and recommendations effectively to both technical and non-technical audiences, including senior leadership.
• Influence cross-functional teams without direct authority and drive alignment across teams with different priorities, methodologies, and technical perspectives.
• Manage multiple analytical priorities, navigate ambiguity, and maintain strong ownership of timelines, quality, and business impact. Analytics Innovation and AI Enablement
• Identify opportunities to apply advanced analytics, Generative AI, AI agents, and agentic AI capabilities to marketing measurement and analytical workflows.
• Translate business problems into scalable AI-enabled solutions that improve analytical productivity, insight generation, forecasting, decision support, or automation. MARKETING ANALYTICS AND INSIGHTS Lead Data Analyst | Marketing Media Measurement Analytics 3Page
• Define quality and performance metrics for AI-enabled analytical workflows, including accuracy, relevance, reliability, explainability, and measurable business impact.
• Promote responsible and scalable AI practices, including data privacy, governance, bias mitigation, risk management, and appropriate human oversight.
• Stay current with developments in marketing measurement, retail analytics, data science, AI, and emerging analytical technologies. Team and Practice Leadership
• Lead analytical workstreams from problem definition through execution, communication, and implementation.
• Provide technical and analytical guidance to analysts and cross-functional partners.
• Mentor team members, review analytical approaches, and help improve the quality and consistency of analytical deliverables.
• Develop reusable analytical assets, frameworks, documentation, and best practices that improve team efficiency and scalability.
• Actively participate in agile delivery practices, including backlog refinement, sprint planning, prioritization, demonstrations, and retrospectives.
• Foster a culture of analytical rigor, curiosity, continuous learning, knowledge sharing, and accountability. About You Education and Experience
• Bachelor’s or Master’s degree in Statistics, Econometrics, Mathematics, Data Science, Computer Science, Engineering, Business Analytics, or another quantitative discipline.
• Approximately 8-12 years of overall professional experience, including 6-8 years of relevant experience in analytics, marketing analytics, media measurement, retail analytics, customer analytics, or a related field.
• Demonstrated experience independently leading complex analytical projects and influencing senior business stakeholders. Technical and Analytical Capabilities
• Advanced proficiency in SQL, including query optimization, data validation, and working with large-scale datasets.
• Hands-on experience with cloud and distributed data platforms such as GCP BigQuery, Spark, Hive, Hadoop, HDFS, Teradata, Oracle, or comparable environments.
• Proficiency in Python, R, PySpark, or another analytical programming language.
• Strong understanding of data warehousing, business intelligence, data modeling, and analytical pipeline concepts.
• Experience with visualization and reporting platforms such as Power BI, Looker, Tableau, Domo, or similar tools.
• Experience using Git or comparable source-control tools and working within agile development environments.
• Strong foundation in statistics and analytical techniques, including regression, time-series analysis, forecasting, classification, segmentation, experimentation, and driver analysis.
• Ability to assess analytical methodologies critically and clearly communicate assumptions, limitations, and uncertainty. Business and Leadership Capabilities
• Strong understanding of marketing performance, campaign measurement, media effectiveness, guest behavior, and marketing investment decisions.
• Ability to connect detailed analysis to marketing strategy, financial outcomes, and broader business objectives.
• Strong problem-solving skills with a systematic and logical approach to complex and ambiguous questions.
• Demonstrated ability to influence cross-functional teams and stakeholders at multiple levels of an organization.
• Excellent written and verbal communication, data storytelling, consultation, and relationship-building skills. MARKETING ANALYTICS AND INSIGHTS Lead Data Analyst | Marketing Media Measurement Analytics 4Page
• Ability to manage competing priorities, maintain attention to detail, and deliver high-quality work within demanding timelines.
• Strong sense of ownership, intellectual curiosity, and commitment to continuous improvement.
• Ability to mentor analysts, share knowledge, and raise the analytical maturity of the broader team. Preferred Qualifications
• Experience in marketing media measurement, campaign analytics, digital marketing analytics, or media investment optimization.
• Experience with Marketing Mix Modeling or other approaches used to measure marketing effectiveness and business impact.
• Experience designing or evaluating controlled experiments and marketing test-and-learn initiatives.
• Experience working with guest-, customer-, profile-, or household-level data.
• Experience in retail, e-commerce, merchandising, consumer marketing, or another large-scale customer-facing industry.
• Experience developing or implementing AI-enabled analytical solutions, including Generative AI, AI agents, or agentic workflows.
• Understanding of responsible AI, data privacy, analytical governance, and enterprise data-protection standards.

Useful Links-

Life at Target-https://india.target.com/

Benefits-https://india.target.com/life-at-target/workplace/benefits