About us

Target is an iconic brand, a Fortune 50 company and one of America’s leading retailers. Fueling the continued success of one of the world’s most beloved and recognized brands is a distinctly capable, creative, and innovative Marketing organization. Target Marketing is known for inspiring and surprising guests, and for connecting them to the products and experiences they expect and deserve. We bring together deep guest understanding, brand stewardship, and data-led decision-making to deliver meaningful, measurable impact at scale.

Roundel is Target’s media business, built on the power of first-party data, brand-safe environments, and transparent measurement. We partner with brands to deliver full-funnel marketing solutions that drive real business outcomes while strengthening guest trust and brand love.

Role Overview

As a Media Data Analyst you will be responsible to partner with the Product and Tech teams for designing and implementing scalable data solutions that enable actionable insights and support Roundel Media Teams and business strategies. This role requires strong technical expertise in data engineering, analytics, and visualization, combined with the ability to collaborate across multiple teams and stakeholders.

This will include deep study of the business requirements, frequency and readiness of user base for these outputs.

Key Responsibilities

1. Strategic Data Management

   • Design, develop, and maintain scalable data pipelines aligned with analytics and reporting needs.
   • Collaborate with Roundel MAG teams to understand data requirements and ensure solutions support business objectives.
   • Analyze data trends and gaps to identify opportunities for improved data quality and operational efficiency.
   • Track data initiatives, monitor delivery timelines, and proactively troubleshoot pipeline or integration challenges.

2. Stakeholder Collaboration

   • Serve as the primary technical resource for Roundel-related data needs, translating business objectives into effective data solutions.
   • Provide consultation on best practices for creating visualization-ready datasets.
   • Guide internal teams on leveraging BI platforms (Power BI, Domo, Looker) to maximize insight generation.

3. Cross-Functional Product Partnership

   • Partner with Engineering, Data Science and Product Data Foundation teams to enhance data availability and ensure solutions meet evolving business demands.
   • Contribute feedback to inform new data features, connectors, and automation opportunities.
   • Escalate and follow up on system or product issues affecting data accuracy or availability.

4. Reporting & Insights

   • Support campaign health dashboards and KPI tracking at team and category levels.
   • Monitor campaign performance to prevent impression stuffing and ensure timely corrective actions.
   • Deliver recurring performance reports summarizing key outcomes, insights, and strategic recommendations.
   • Assist in preparing presentations and insights for partner meetings.

5. Issue Resolution

   • Submit and track product bug tickets; proactively report and escalate issues via Slack and other Organisation channels.
   • Communicate and escalate operational challenges transparently to ensure timely resolution.
   • Maintain documentation for debugging workflows, data dictionaries, and pipeline structures.

Skills and Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Analytics, or related field.

• Proven experience in data engineering, analytics, and BI tools (Power BI, Domo, Looker).

• Strong understanding of data pipeline design, ETL processes, and data governance principles.

• Excellent communication and stakeholder management skills.

• Ability to work in a fast-paced, cross-functional environment.

• Efficient in multi-tasking and ability to manage time critical assignments.

Useful Links-

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

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

Culture- https://india.target.com/life-at-target/belonging