Senior Data Analyst

TEGNA, Inc.; Chennai District; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

TEGNA Inc. is seeking a Senior Data Analyst / Cloud Engineer to join our technology team in India. You will drive insights across advertiser performance, audience quality, and supply-side partnerships while collaborating with data engineering and ML teams.

You will build self-serve dashboards, work on forecasting models, and validate data pipelines to ensure data integrity for business decisions.

Qualifications

• Experience with large-scale data platforms and high-volume event-level data.
• Expert SQL proficiency for analysis, automation and statistics.
• Strong dashboard design for audiences from traders to executives.
• Ability to interpret ML outputs and translate to business insights.
• Experience validating data pipelines and instrumentation.

Responsibilities

• Analyze audience behavior and segment performance to improve targeting and ROI.
• Evaluate inventory quality and bidstream data to guide buying decisions.
• Build and own reporting on DSP metrics such as bid win rate and CPM trends.
• Develop forecasting models for impressions, reach, and pricing across segments.
• Conduct geo-based analysis at zip-code level for hyper-local targeting.

Skills

SQL

Data analysis

A/B testing

Communication

Education

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

Tools

BigQuery

Snowflake

Redshift

Looker

Tableau

Power BI

dbt

Airflow

Job description

TEGNA Inc. helps people thrive in their local communities by providing the trusted local news and services that matter most. With 64 television stations in 51 U.S. markets, TEGNA reaches more than 100 million people monthly across web, mobile apps, streaming, and linear television, while also maintaining a strong global presence in India with offices in Bangalore and Chennai that support technology, product, and business operations initiatives. Together, we are building a sustainable future for local news.

Position Overview

TEGNA is looking for a Senior Data Analyst is seeking a skilled and forward-thinking CloudEngineer to join our growing technology team. We are a demand-side platform (DSP)helping advertisers and agencies programmatically reach their target audiences atscale. We are looking for a Senior Data Analyst to drive insights across advertiserperformance, audience quality, and supply-side partnerships — going beyond surface-level reporting to uncover the stories that data tells. In this role, you will work at theintersection of data, engineering, and data science — collaborating closely with ourengineering team to maintain data integrity and with our ML team to translate modeloutputs into business intelligence.

What You’ll Do

• Analyse audience behaviour and segment performance to help advertisersimprove targeting efficiency, reach, and campaign ROI across programmaticchannels.
• Evaluate supply-side inventory quality — assessing publisher segments, bidstream data, win rates, and CPM trends — to inform smarter buying decisionsand supply curation strategies.
• Build and own reporting on key DSP metrics: bid win rate, auction efficiency, costper outcome, audience match rates, and pacing performance.
• Develop and maintain inventory forecasting models to predict availableimpressions, audience reach, and pricing trends across supply segments —enabling better planning for advertisers and internal teams.
• Conduct geo-based analysis at the zip code level to uncover regional audiencepatterns, inventory availability, and performance variations — supporting hyper-local targeting strategies and geo-specific advertiser campaigns.
• Apply sampling techniques to efficiently analyse large-scale bid-stream andevent-level datasets, ensuring statistically representative insights withoutcompromising on speed or infrastructure costs.
• Collaborate closely with the engineering team to define data instrumentationrequirements, validate pipelines, and ensure the accuracy and completeness ofdata flowing into analytics systems.
• Partner with the data science and ML team to interpret model outputs — such asbid price predictions, audience scores, and churn models — and translate theminto actionable business insights and performance narratives.
• Work with tech success and engineering teams to diagnose campaignperformance issues and identify optimisation opportunities across targeting,bidding, and creative.
• Develop self-serve dashboards and analytics tools that give internal teams andadvertisers visibility into audience and supply performance.
• Design and evaluate experiments to test bidding strategies, audience models,and supply path optimisations — in close coordination with the ML team toensure rigorous measurement of model-driven changes.
• Monitor and analyse data from DSP integrations with SSPs, DMPs, and datapartners to assess signal quality and identify gaps, flagging data quality issues toengineering as needed.
• Proactively surface trends, anomalies, and growth opportunities to leadershipwith clear, data-backed recommendations.
• Apply best practices in data quality, experimentation, and reporting.

What you bring

• Experience working with large-scale data platforms such as BigQuery,Snowflake, or Redshift — ideally with high-volume event-level or log-level data.
• Expert-level SQL proficiency for analysis, automation, and statistical work.
• Proficiency in data visualisation tools (Looker, Tableau, or Power BI) and theability to design clear, intuitive dashboards tailored to different audiences —from traders and analysts to executive stakeholders.
• Strong analytical thinking with the ability to quickly ramp up on complex domainconcepts — including auction mechanics, audience targeting, and supply-demand dynamics.
• Solid understanding of sampling techniques — including stratified, systematic,and cluster sampling — and the ability to apply them appropriately to largedatasets to produce statistically sound and computationally efficient analyses.
• Demonstrated ability to collaborate with engineering teams — includingexperience with data pipeline validation, event instrumentation, and workingwithin a modern data stack (dbt, Airflow, or similar).
• Comfort working alongside data science and ML teams — able to understandmodel concepts, interpret ML outputs, and bridge the gap between modeldevelopment and business application without necessarily building modelsyourself.
• Solid grasp of visualisation principles: choosing the right chart types, avoidingmisleading representations, and presenting data narratives that drive decisionsrather than just display numbers.
• Experience with geo-based analysis, including working with zip code or sub-regional level datasets, spatial data tools, or geographic segmentationtechniques.
• Strong ability to communicate complex findings to both technical teams andnon-technical stakeholders.
• Experience designing and interpreting A/B tests and experiments with statisticalrigour.

Preferred Qualification

• Prior experience in Ad Tech, programmatic advertising, or a DSP/SSPenvironment.
• Familiarity with DSP metrics (win rate, eCPM) and programmatic concepts (RTB,bid shading).
• Experience with supply path optimisation analysis or direct SSP/exchangeintegrations.
• Knowledge of audience segmentation, lookalike modelling, or data clean roomtechnologies.
• Exposure to ML techniques applied to bid optimisation, audience scoring, andexperience operationalising ML model outputs into reporting or businessworkflows.
• Experience with inventory forecasting methodologies or time-series analysis.
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, orany Engineering discipline.
• 6+ years in data analytics, ideally in a fast-paced, data-intensive environment

Why TEGNA?

At TEGNA, we’re not just building systems, we’re redefining the media industry throughtechnology. You'll join a team committed to transparency, shared understanding, andbuilding high-impact platforms with speed and stability. As a DevOps Engineer, you’ll beat the heart of enabling our engineering teams to deliver at scale.Join us to shape the infrastructure behind great digital experiences and drive meaningfulimpact for millions of users!

EEO Statement:

TEGNA Inc. is a proud equal opportunity employer. We are proud to be an equal opportunity employer, hiring and developing individuals from diverse backgrounds and experiences to add to our collaborative culture. We value and consider applications from all qualified candidates without regard to actual or perceived race, color, religion, national origin, sex, gender, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, disability, medical condition, enrollment in college or vocational school, political affiliation, military or veteran status, citizenship status, genetic information, or any other basis protected by federal, state, or local law. TEGNA will reasonably accommodate qualified individuals with disabilities in accordance with applicable law.