LiveRemoteFull-timeApply by 1 Nov 2026
Data Analyst
Remote
- Experience
- 3–5 years
- Employment
- Full-time
- Work mode
- Remote
- Salary
- Not disclosed
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2026-04-29
Required skills
| Skill | Experience | Level |
|---|---|---|
| SQL | 1+ years | Not specified |
| Excel | 2+ years | Not specified |
| Google Spreadsheet | 3+ years | Not specified |
| Tableau | 1+ years | Not specified |
| Power BI | 1+ years | Not specified |
| Metabase | 1+ years | Not specified |
| Data Analysis | 3+ years | Not specified |
| Data Cleaning | 3+ years | Not specified |
About the role
Responsibilities
- Build and maintain dashboards and automated reports tracking key business metrics: revenue pipeline, client engagement, operational efficiency, and team performance.
- Write complex SQL queries to extract, transform, and analyze data from multiple sources (CRM, billing systems, internal databases, third-party APIs).
- Define and standardize KPIs across departments, ensuring consistent definitions and measurement methodologies.
- Perform ad hoc analysis to support strategic decisions: pricing optimization, client segmentation, churn prediction, resource allocation.
- Clean, validate, and structure messy datasets — build repeatable data pipelines where manual exports currently exist.
- Present findings and recommendations to leadership and cross-functional teams in clear, jargon-free language with visual support.
- Identify data quality issues and work with engineering/ops to resolve source-level problems rather than patching downstream.
- Document data sources, transformations, and metric definitions in a central knowledge base.
Requirements
- Strong proficiency in SQL (window functions, CTEs, joins across multiple tables) — this is non-negotiable.
- Advanced Excel/Google Sheets skills (pivot tables, INDEX-MATCH, data validation, conditional formatting for executive-ready outputs).
- Experience with at least one BI/visualization tool: Tableau, Power BI, Looker, or Metabase.
- Ability to translate business questions into data queries and data outputs into business recommendations.
- Experience working with messy, incomplete, or inconsistent data and building processes to clean it systematically.
- Strong communication skills — you should be able to explain a cohort analysis to a sales lead and a CFO with equal clarity.
Nice to Have
- Python or R for statistical analysis and automation.
- Experience with dbt, Airflow, or similar data pipeline/transformation tools.
- Familiarity with SaaS metrics (MRR, ARR, LTV, CAC, churn rate, NRR).
- Exposure to A/B testing frameworks and statistical significance testing.