Data Analyst- Consultant

Full time

Apply Now

Responsibilities

Build and maintain scalable data pipelines to process large volumes of ad-tech events such as ad requests, impressions, clicks, installs, conversions, and revenue signals.
Create ETL workflows for data coming from ad networks, SDK events, internal services, publisher platforms, and monetization partners.
Optimise data warehouse schemas, data models, and queries for faster reporting and analytics.
Monitor data quality, accuracy, latency, and reliability across pipelines.
Identify gaps in tracking, reporting, and event instrumentation, and work with engineering teams to fix them.

Qualification & Experience

Strong hands-on experience with SQL and data querying.
Programming experience in Python / Scala.
Experience building ETL pipelines and data workflows.
Experience with data warehouses such as BigQuery, Snowflake, Redshift, or similar platforms.
Understanding of large-scale event data processing.
Experience with dashboarding tools such as Looker, Tableau, Metabase, Superset, or similar tools.
Strong analytical thinking and ability to connect data with business outcomes.
Ability to work with cross-functional teams and convert open-ended business questions into structured analysis.
Comfort with debugging data inconsistencies, tracking gaps, and reporting mismatches.
Experience in AdTech, programmatic advertising, mobile monetization, or gaming analytics.
Familiarity with platforms such as GAM, AdMob, ironSource, Unity Ads, AppLovin, Meta, or similar ad platforms.
Experience with high-throughput streaming systems such as Kafka, Spark, or Flink.
Understanding of RTB, ad auctions, ad mediation, waterfalls, bidding, and yield optimization.
Exposure to mobile app analytics, gaming monetization, offerwall, or rewarded advertising.
Experience working with revenue, publisher, or advertiser-side analytics.