
Data Engineer
3 days ago
The Loom is looking for someone who thrives at the intersection of data engineering and analytics —
someone who can both build the plumbing (data pipelines, integrations, automation) and analyse
the output (dashboards, reports, insights). You'll ensure that data flows seamlessly from multiple
sources into usable, reliable, and insightful formats that empower our marketing, operations, and
leadership teams.
Key Responsibilities
Data Engineering
- Build and maintain ETL pipelines to bring data from Magento, Google Analytics, Meta Ads, CRM,
logistics partners, and finance systems into a central warehouse.
Design and optimize data models and schemas for scalable reporting.
Ensure data quality, governance, and accuracy across all sources.
Automate recurring reporting processes and business dashboards.
Data Analytics
Develop and manage dashboards in BI tools (Tableau, Power BI, Looker, Google Data Studio).
Track and analyse key metrics: sales, conversion, repeat rate, CAC, LTV, inventory, margins.
Provide ad-hoc analysis to answer critical business questions (e.g., category performance, pricing
impact, campaign ROI).
- Collaborate with Business, Marketing, and Product teams to translate needs into data solutions.
Desired Skills & Qualifications
Bachelor's/Master's in Computer Science, Engineering, Statistics, or related field.
4-6 years' experience in data engineering / data analytics, ideally in e-commerce or consumer
businesses.
Strong SQL skills; experience with Python or R a plus.
Hands-on experience with ETL tools (e.g., Airflow, dbt, Talend) and cloud warehouses (BigQuery,
Snowflake, Redshift).
Proficiency with BI tools (Tableau, Power BI, Looker, Google Data Studio).
Familiarity with APIs & integrations (Magento, GA4, Facebook Ads, etc.).
Strong problem-solving ability and attention to detail.
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