- Company Name
- Relevance Lab
- Job Title
- Product Data Analyst
- Job Description
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Job title: Senior Data Analyst (AWS & QuickSight) – Contractor
Role Summary: Provide end‑to‑end data analytics and reporting for AI/Generative AI solutions, building and maintaining interactive QuickSight dashboards from AWS Aurora, DynamoDB, and Athena data sources. Deliver clean, validated insights to product and engineering teams.
Expectations: • Full‑time remote contractor (9 am–5 pm EDT).
• 5+ years of hands‑on data analytics experience, independently defining data discovery and requirements.
• Strong focus on quality, accuracy, and minimal supervision.
• Ability to juggle multiple priorities and meet tight deadlines.
Key Responsibilities:
1. Translate business and analytics requirements into structured QuickSight dashboard specs.
2. Identify relevant source tables, fields, and relationships across Aurora, DynamoDB, and Athena.
3. Write, optimize, and validate SQL queries for data extraction, transformation, and loading.
4. Perform data validation, QA, and troubleshooting to ensure accuracy and consistency.
5. Collaborate with product managers, engineers, and AI platform teams to define KPIs and metrics for usage, adoption, and performance.
6. Develop data dictionaries and robust documentation for reproducibility and handoff.
7. Participate in daily stand‑ups, provide status updates, and meet project milestones.
8. Analyze data trends, patterns, and anomalies to inform continuous improvement of reporting systems.
Required Skills:
- Expert SQL (Aurora, DynamoDB, Athena).
- Data modeling (joins, foreign keys, parent‑child relationships).
- QuickSight (dashboard creation, KPI definition).
- Data validation, QA, and debugging techniques.
- Self‑service analytics support (user management, access troubleshooting).
- Strong documentation and communication skills.
- Ability to translate business goals into precise technical requirements.
- Experience in AI/machine‑learning or digital product analytics environments.
- Comfortable working across time zones and managing multiple concurrent priorities.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Data Analytics, Engineering, or related field.
- Optional: AWS Certified Data Analytics – Specialty or equivalent credentials.