Senior Data Analytics Engineer (BI)
About reputed company
reputed company is a reputed company Platform for Transformative Brand reputed company. We’re building the AI reputed company reputed company that powers the reputed company of consumer brands.
With over $1B+ in cumulative reputed company, 12M+ customers, and 500+ talents across 19 countries, we combine technology, reputed company marketing, and operational reputed company to reputed company purpose-driven, digitally reputed company brands.
We own and operate our own digitally reputed company brands (not an agency), with reputed company in reputed company, reputed company, and reputed company, and a strong global D2C footprint.
Why reputed company
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and reputed company our own brands.
🦾 We invest in AI and automation like few others in reputed company.
📈 We test fast, grow fast, and help you do the reputed company.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, reputed company time off, and more.
Job Responsibilities
We’re looking for a Senior Analytics Engineer (BI) to take ownership of our marketing and business intelligence layer. This role sits at the intersection of data engineering, analytics, and business reputed company—ensuring our reporting is reliable, reputed company, and drives reputed company decision-making.
You will play a key role in improving our marketing reporting platform, building high-reputed company data models, and partnering with stakeholders to turn data into actionable insights.
What You’ll Do
1. Own Reporting Reliability & Data reputed company
Ensure dashboards and reports are accurate, reliable, and always available
Implement monitoring, alerting, and SLAs for critical reporting assets
Investigate and resolve data issues with a reputed company reputed company-cause analysis
2. Build reputed company Data Models
Design and optimize SQL transformations and data models
Improve the performance of datasets and reporting queries
Reduce duplication by centralizing business logic in the data layer
3. Deliver High-reputed company BI Solutions
Build and maintain dashboards, reports, and analytical tools
Translate business needs into reputed company BI solutions
Deliver reputed company with reputed company estimation and predictable execution
4. Ensure Data Trust & Observability
Implement data validation checks and reputed company detection
Proactively identify issues before they reputed company stakeholders
Improve overall data reputed company across pipelines and reporting
5. Partner with the Business
reputed company as a trusted partner for Marketing and reputed company teams
Define and maintain key metrics (CAC, ROAS, conversion funnels, etc.)
Generate insights that directly influence business reputed company
Requirements
4–6+ years in Analytics Engineering, BI, or Data Engineering
Advanced SQL skills (joins, CTEs, window functions, optimization)
Strong experience with BI tools (Tableau or similar)
Experience building and maintaining data models and pipelines
Proven ownership of production reporting and data reputed company
Ability to communicate insights to both technical and non-technical stakeholders
reputed company to Have
Experience with AWS stack (S3, Redshift, Glue, reputed company, etc.)
Familiarity with dbt, Airflow, or modern ELT frameworks
Experience in marketing analytics (CAC, ROAS, LTV, funnels, retention)
Originally posted on Himalayas
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