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  4. Junior Data Insights Analyst

Junior Data Insights Analyst

Remotely
Full-time
SQL Tableau Python

You will dive into diverse datasets, distill patterns, and present crisp narratives that non-technical partners instantly grasp. Our cross-functional squads count on you to surface anomalies, validate KPIs, and maintain the single source of analytical truth. The position is open to remote professionals authorized to work anywhere in the United States.


What You’ll Do  

- Transform complex, multi-source data into clean, unified tables.  

- Write efficient SQL to answer ad-hoc and recurring business questions.  

- Design interactive Tableau and Power BI visualizations that reveal hidden trends.  

- Track daily, weekly, and monthly metrics—raising flags when numbers drift.  

- Produce concise reports, infographics, and slide decks for stakeholders.  

- Collaborate with engineers, marketers, and finance analysts to refine data pipelines.  

- Document methodologies, data dictionaries, and assumptions for auditability.  

- Uphold data integrity through validation scripts and peer reviews.  

- Continuously explore emerging BI tools, statistical techniques, and automation tricks.  


What You Bring  

- Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or related field.  

- 0-2 years of hands-on experience in data analysis or business intelligence internships.  

- Solid command of SQL (CTEs, window functions, joins).  

- Working knowledge of Excel—including pivot tables, Power Query, and VBA macros.  

- Familiarity with at least one visualization platform (Tableau, Power BI, Looker).  

- Fundamental understanding of statistics: correlation, A/B testing, confidence intervals.  

- Exceptional written and verbal communication; you turn numbers into narratives.  

- Meticulous attention to detail—yet an instinct for the bigger picture.  

- Growth mindset, curiosity, and willingness to ask “why” until the answer is clear.  


Tools You’ll Master  

- SQL Server, PostgreSQL, BigQuery.  

- Tableau, Power BI, Looker Studio.

- Python or R for quick data wrangling. 

- Git for version control (yes, analysts need it!).  

- Jupyter Notebooks, VS Code, or equivalent IDEs .