Job Summary

We are looking for a Senior Data Analyst to drive data-driven insights across advertiser performance, audience quality, inventory, and supply-side partnerships within a data-intensive programmatic advertising environment.

The role involves working closely with Engineering, Data Science, ML, and Business teams to analyse large-scale datasets, build dashboards and forecasts, identify trends, and translate complex data into actionable business recommendations.

Key Responsibilities

- Analyse audience behaviour, segmentation, campaign performance, targeting efficiency, and ROI.

- Evaluate inventory quality, bid-stream data, win rates, CPM/eCPM trends, and supply performance.

- Build and maintain reporting for key DSP metrics including bid win rate, auction efficiency, audience match rate, cost per outcome, and pacing.

- Develop inventory and impression forecasting models to support planning and pricing decisions.

- Perform geo-based analysis at ZIP-code/sub-regional level to identify audience and inventory trends.

- Analyse large-scale event-level and bid-stream datasets using appropriate sampling techniques.

- Partner with Engineering teams on data pipelines, instrumentation, data validation, and data quality.

- Work with Data Science/ML teams to interpret model outputs and convert them into actionable business insights.

- Build self-service dashboards and analytics solutions for business and internal stakeholders.

- Design and evaluate A/B tests and experiments related to bidding, audience models, and supply optimisation.

- Monitor DSP integrations with SSPs, DMPs, and data partners to identify data quality and signal gaps.

- Identify trends, anomalies, optimisation opportunities, and business growth areas and present recommendations to leadership.

Required Skills

Data & Analytics





- 6+ years of experience in Data Analytics / Data Analysis.

- Strong expertise in SQL for analysis, automation, and statistical work.

- Experience working with large-scale data platforms such as BigQuery, Snowflake, or Redshift.

- Experience handling high-volume event-level, log-level, or transactional datasets.

- Strong understanding of statistical analysis and sampling techniques.

BI & Visualization

- Hands-on experience with Looker, Tableau, Power BI, or similar BI tools.

- Ability to build explicit, business-focused dashboards and data visualizations.

- Strong data storytelling and presentation skills.

Data Engineering & ML Collaboration

- Experience working with Engineering teams on data pipelines, event instrumentation, and data validation.

- Exposure to modern data stacks such as dbt, Airflow, or similar technologies.

- Ability to understand ML concepts, interpret model outputs, and translate them into business insights.

Additional Skills

- Experience with geo-based analysis / geographic segmentation.

- Experience designing and interpreting A/B tests and experiments.

- Strong analytical and problem-solving skills.

- Ability to communicate complex findings to both technical and non-technical stakeholders.

Good to Have

- Experience in Ad Tech, Programmatic Advertising, DSP, or SSP environments.

- Knowledge of RTB, bid shading, win rate, eCPM, and other programmatic advertising metrics.

- Experience with Supply Path Optimisation (SPO) or SSP/exchange integrations.

- Knowledge of audience segmentation, lookalike modelling, or data clean rooms.

- Exposure to ML applications in bid optimisation, audience scoring, or campaign optimisation.

- Experience with inventory forecasting or time-series analysis.

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related discipline.

📌 Senior Data Analyst (India)
🏢 BuildxPartners
📍 India