Senior Data Analyst

BuildxPartners; India; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

BuildxPartners is seeking a Senior Data Analyst to drive data-driven insights across advertiser performance, audience quality, inventory, and supply-side partnerships in a data-intensive programmatic advertising environment.

You will collaborate with Engineering, Data Science, ML, and Business teams to analyze large-scale datasets, build dashboards and forecasts, identify trends, and translate complex data into actionable business recommendations.

Qualifications

• 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.
• Hands-on experience with Looker, Tableau, Power BI, or similar BI tools.
• Ability to build clear, business-focused dashboards and data visualizations.
• Strong data storytelling and presentation skills.

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.

Skills

SQL

Data analytics

Looker

Tableau

Power BI

BigQuery

Snowflake

Redshift

Data storytelling

Stakeholder communication

A/B testing

Data pipelines

Education

Bachelor's or Master's in Statistics/Mathematics/CS/Engineering

Tools

dbt

Airflow

Job description

BuildxPartners is a global talent solutions firm delivering end-to-end recruitment and workforce solutions across industries and geographies.

→ BuildxAlpha – Executive & Leadership Search Focused on C-suite, board, and global executive hiring.

→ BuildxSigma – Comprehensive Talent Across Levels Covering junior, mid-level, and senior professionals.

→ BuildxGCC – Global Capability Center Solutions Specializing in Build, Operate, Transfer (BOT) model for Global Capability Centers, GCC supports companies in setting up, scaling, and transferring GCCs.

Job Description

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.
• Hands-on experience with Looker, Tableau, Power BI , or similar BI tools.
• Ability to build clear, 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.