Sr. Analytics Engineer

Job Description

Job Description:

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

Shift Timings: 4 PM- 1 AM IST

Location: PAN INDIA Remote, Work from Home

Experience required: 5 to 8 years

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 don't reconcile.

You'll 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