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Cross-Media Analytics Manager

Job in 243601, Gurgaon, Uttar Pradesh, India
Listing for: SYNCMEDIA & ADTECH
Full Time position
Listed on 2026-02-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Mining, Data Engineer
Job Description & How to Apply Below
Company Description

SYNCMEDIA & ADTECH provides a full-suite analytics and advertising solution, SYNC OS, for measuring and optimizing media performance across linear and digital video platforms. Using robust data, software, and marketing science, the company delivers advanced modeling techniques to analyze multiple consumer touch-points against business KPIs, uncovering optimization opportunities. With access to the largest, high-quality commingled TV datasets and privacy-compliant data science methodologies, their solutions empower advertisers, agencies, and publishers to enhance media mix efficiency.

SYNC OS is trusted by over 200 leading advertisers in India and Indonesia to optimize media strategies through Brand Attributed Media Modeling.

Role Description

We are looking for a Computer Engineer / Data Engineer who is excited about working at the intersection of data, media, and business.

Must Have

- B.Tech / B.E. in Computer Science / Data Science / related field
- Strong Python (Pandas, Num Py, data modeling mindset)
- Strong SQL
- Ability to work with large structured datasets
- Logical thinking and problem-solving mindset

Strongly Preferred

- Experience in analytics firms (Nielsen, Kantar, Absolutdata, dunnhumby, etc.)
- Exposure to media measurement, retail analytics, or marketing analytics
- Understanding of reach, frequency, GRPs, incrementality
- Experience building analytical pipelines (not only dashboards)

Good To Have

- Experience with Vibe coding / Excel / Streamlit

What We Value

- Strong fundamentals over buzzwords
- Ability to translate data into clear insights
- Structured communication
- Ownership and curiosity

This is not a basic reporting job. You’ll work on real-world cross-platform measurement challenges and build systems that influence media investment decisions.
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