Sr. Analytics Engineer(Attribution, BigQuery & Server-Side Measurement

Programmers io

Hyderabad, Pune District, Bengaluru

On-site

INR 2,600,000 - 4,800,000

Full time

3 days ago
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Job summary

Programmers io is seeking a Sr. Analytics Engineer specializing in attribution, BigQuery, and server-side measurement. You will own the attribution data accuracy, the BigQuery analytics layer, and the server-side GTM implementation, ensuring trustworthy data for paid media, eCommerce, and leadership reporting.

You will collaborate with the Head of Analytics, the Digital Product team, and paid media owners. The role emphasizes building robust processes to preserve data integrity as platforms

Qualifications

  • 5 to 8 years of experience in analytics/attribution, with strong expertise in data modelling and measurement systems.
  • Proven ability to own end-to-end attribution pipelines and reconcile data across platforms.

Responsibilities

  • Own the GA4 ? BigQuery data model end-to-end including schema, session logic and revenue attribution layer.
  • Define channel grouping rules in BigQuery and maintain reconciliation between GA4 and BigQuery exports.
  • Write and maintain SQL transformations for Looker Studio dashboards and executive reporting.
  • Own server-side GTM container configuration, tags, clients, triggers and validation of pixels across platforms.
  • Maintain attribution accuracy monitoring and quarterly audits; manage change across GTM tags and BQ schema.

Skills

BigQuery
Server-Side GTM
GA4 Attribution
Property Management

Job description

Job Title Sr. Analytics Engineer(Attribution, BigQuery & Server-Side Measurement)


Technology GA4 + Server-Side GTM + BigQuery


Shift Timings 4 PM- 1 AM IST


Required Experience (Years) 5 to 8


About the Role

You will be the primary owner of attribution data accuracy, BigQuery analytics layer, and server-side GTM implementation. Day to day, that means maintaining the measurement infrastructure that paid media, eCommerce, and executive reporting all depend on and being the person who is accountable when numbers dont reconcile.
Youll work closely with the Head of Analytics, the Digital Product team, and paid media channel owners. You’ll have a clear mandate: make the attribution data trustworthy, keep it that way, and build the processes so it stays that way when things change — and things always change.

What You’ll Own 1. BigQuery Attribution Pipeline
  • Own the GA4 ? BigQuery data model end-to-end: schema, session logic, event definitions, and the revenue attribution layer that reporting draws from
  • Define and enforce channel grouping rules in BigQuery — resolving the current discrepancies between GA4 default channel groups and what reports are actually showing
  • Maintain the reconciliation process between GA4 session/revenue data and BigQuery exports — establish a documented, repeatable QA cadence so divergences are caught proactively, not reactively
  • Write and maintain the SQL transformations that feed Looker Studio dashboards and executive reporting — including eCommerce revenue, session attribution, and conversion rate by channel
  • Own the BigQuery dataset structure, access controls, and documentation so that all team members can query with confidence
  • Build and maintain attribution accuracy monitoring: automated checks that flag when GA4-to-BQ variance exceeds defined thresholds
2. Server-Side GTM Ownership
  • Take immediate ownership of the three open sGTM migration tickets: container URL update, post-migration tracking validation, and Meta/third-party ad pixel validation via server GTM
  • Own the server-side GTM container configuration — tags, clients, triggers, and variable mappings — as the single accountable engineer
  • Validate that all paid media vendor pixels (Meta CAPI, Google Ads, Pinterest Tag) are firing correctly through the server container and that conversion data matches platform-reported figures
  • Manage consent mode v2 implementation: ensure that cookie-rejected sessions are handled correctly in the server-side pipeline and that their impact on channel attribution is understood and documented
  • Define and document the event passthrough architecture: which events fire client-side, which are handled server-side, and why
  • Own the ongoing server container QA process — after any significant release or GTM change, run a structured validation before signing off
3. Attribution Accuracy & Ongoing Maintenance
  • Maintain and evolve the attribution model as the business adds channels, changes checkout flows, or modifies tracking architecture
  • Investigate and resolve the non-consent session impact on direct traffic — currently open (CTE-54704) — and document the expected behavior going forward
  • Own the channel grouping logic across all reporting surfaces: GA4 property, BigQuery, and Looker Studio — ensuring consistent definitions everywhere
  • Audit attribution data quarterly: identify channels that are over- or under-attributed, document findings, and implement corrections
  • Be the internal expert on GA4 attribution settings: attribution windows, cross-channel data-driven attribution, and how they interact with the BigQuery export
  • Establish a formal change-management process for attribution — any modification to GTM tags, channel grouping, or BQ schema that affects attribution data must be documented, reviewed, and communicated before it goes live
4. Reporting & Dashboard Support
  • Build and maintain the core eCommerce and digital marketing dashboards in Looker Studio that draw from the BigQuery attribution layer you own
  • Ensure dashboard metric definitions are aligned with the attribution model — no dashboard should define revenue or channel differently from the source-of-truth BQ model
  • Support Power BI reporting for stakeholders who require offline-capable reports
  • Own the Google Sheets ? SharePoint migration for reporting infrastructure as part of the ongoing Google sunset initiative
5. GTM Web Implementation (Shared Scope)
  • Implement and validate GA4 event tracking via GTM for new Digital Product features — PLP filters, PDP interactions, cart events, and checkout flows
  • Review and approve data layer specifications from Engineering before implementation begins
  • Conduct post-release GTM validation as standard practice — this is non-negotiable before a ticket is closed
Must-Have Skills

BigQuery, Server-Side GTM- Google tag manager, GA4 Attribution (Google Analytics 4), Property Management

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