About the role
- We are seeking an experienced Engineer – Digital Product Analytics to support RaceTrac’s digital ecosystem, including its Rewards mobile application and website.
- The role will drive digital measurement, analytics instrumentation, data pipelines, analytical data modeling, campaign attribution, and reporting across web, mobile, and enterprise data environments.
- Work closely with Product, Engineering, Data, Loyalty, MarTech, Marketing, DGX, and Business teams to ensure accurate data collection, reliable integrations, consistent customer identity, and trusted reporting.
- Apply hands-on expertise in GA4, Google Tag Manager, Firebase Analytics, BigQuery, Databricks, SQL, Power BI, and Looker Studio to deliver actionable digital product insights.
Job Description
- Implement, maintain, and troubleshoot digital analytics across web and mobile platforms, ensuring consistent event tracking and measurement standards.
- Develop scalable data pipelines, SQL transformations, and analytical data models integrating behavioral, transactional, customer, loyalty, campaign, and attribution data.
- Build and optimize Power BI semantic models, dashboards, and Looker Studio reports to support digital product performance, customer engagement, acquisition, conversion, and loyalty analytics.
- Establish end-to-end analytics quality assurance processes, validate event instrumentation, reconcile data across systems, and resolve discrepancies.
- Support campaign measurement, UTM governance, marketing attribution, customer identity resolution, and cross-platform journey analytics.
- Translate business and product requirements into reliable analytics solutions while collaborating with distributed technical and business stakeholders.
Qualifications
- Relevant educational qualifications in Computer Science, Information Technology, Data Analytics, Engineering, or a related discipline.
- 8+ years of professional experience in digital analytics, product analytics, analytics engineering, data engineering, or a related field.
- Hands-on experience implementing and managing GA4, Google Tag Manager, Firebase Analytics, and web dataLayer configurations across digital platforms.
- Advanced SQL expertise, including complex joins, CTEs, window functions, aggregations, transformations, and large-scale data processing using BigQuery and Databricks.
- Experience building and maintaining data pipelines, analytical datasets, and scalable data models integrating behavioral, customer, transactional, loyalty, campaign, and attribution data.
- Strong experience developing Power BI dashboards and semantic models, including relationships, calculated columns, measures, and advanced DAX expressions.
- Experience developing and maintaining Looker Studio dashboards and reports.
- Practical experience performing end-to-end analytics QA, validating GA4 and Firebase events, debugging GTM implementations, reconciling datasets, and investigating data discrepancies.
- Experience supporting digital campaign measurement, UTM tracking governance, acquisition reporting, and multi-channel attribution analysis.
- Experience working with anonymous and authenticated users, user IDs, device IDs, session IDs, identity resolution, and cross-platform customer journey analytics.
- Strong understanding of digital measurement concepts, including event tracking, user properties, custom dimensions, sessions, conversions, funnel analytics, and customer behavior.
- Ability to independently investigate complex data issues, identify root causes, document corrective actions, and communicate technical findings effectively.
- Experience collaborating with Product, Engineering, Data, Marketing, Loyalty, MarTech, and Business teams across offshore and onshore environments.
- Digital Analytics: GA4, Google Tag Manager, Firebase Analytics, web dataLayer implementation, event tracking, user properties, custom dimensions, and digital measurement standards.
- Data Engineering & Analytics: Advanced SQL, Google BigQuery, Databricks, data modeling, ETL/ELT, data transformations, pipeline development, and analytical dataset management.
- Business Intelligence: Power BI, semantic modeling, DAX, calculated columns, measures, dashboard development, performance optimization, and Looker Studio.
- Analytics QA & Validation: GA4 DebugView, GTM Preview/Debug, Firebase event validation, data reconciliation, event-volume validation, troubleshooting, root-cause analysis, and defect documentation.
- Campaign & Attribution Analytics: UTM governance, campaign tracking, acquisition analytics, marketing attribution, conversion measurement, and campaign-performance reporting.
- Identity & Customer Journey Analytics: Anonymous and authenticated user tracking, user and device identifiers, session analysis, identity resolution, cross-platform measurement, customer mapping, and journey analytics.
- Digital Platforms: Web applications, mobile applications, iOS and Android analytics instrumentation, enterprise data warehouses, and cloud data platforms.
- Customer & Loyalty Analytics: Behavioral data, customer data, transactional data, loyalty platforms, customer engagement, funnel analysis, and conversion optimization.
- Preferred Platform Exposure: AppsFlyer or similar mobile attribution platforms; Braze or similar customer engagement and marketing automation platforms.
- Industry Experience: Retail, e-commerce, loyalty programs, consumer products, and large-scale digital or mobile ecosystems.
- Collaboration & Delivery: Cross-functional stakeholder management, Agile/Scrum methodologies, technical design discussions, analytical problem-solving, written and verbal communication, and offshore-onshore collaboration.
Perks & Benefits
Medical Insurance
Choose from Health Savings Plan, HRA, or PPO, whichever best fits your healthcare needs and budget.
Parental leave
Take the time you need to welcome and care for your growing family, with leave designed to support you through this milestone.
Training and development
Access structured, project-specific training and continuous learning opportunities that help you grow in your role and career.
Two-way transport
Enjoy stress-free commuting with two-way cab pick-up and drop-off facilities for every shift.
