Junior Data Analytics Assistant

Оплата: По договоренности
Удаленно
Full-time

A rapidly scaling, insight-driven organization pairs advanced technology with razor-sharp curiosity. The analytics team owns the full data lifecycle, from ingestion to dashboard. You will join a diverse group that prizes experimentation, open feedback, and measurable impact.


Key Responsibilities  

- Collect, clean, and validate raw datasets from internal and third-party sources.  

- Maintain relational databases, ensuring schema integrity and refresh schedules.  

- Build repeatable Excel and SQL reports that highlight KPIs for non-technical stakeholders.  

- Assist in crafting Tableau and Power BI visualizations that convert trends into clear stories.  

- Track daily, weekly, and monthly metrics; flag anomalies before they snowball.  

- Document methodologies, data dictionaries, and assumptions for future audits.  

- Partner with senior data analysts and data engineers to refine ETL pipelines.  

- Collaborate in real time with distributed teammates through Slack, Zoom, and shared notebooks.  

- Continuously learn emerging analytics tools—Python, R, dbt—through guided sprints.  

- Present findings in crisp, five-minute “flash” talks during team stand-ups.


Core Skills & Qualifications  

- Bachelor’s degree in Data Science, Information Systems, Statistics, or related field.  

- Proficiency with Excel (pivot tables, VLOOKUP, Power Query).  

- Foundational SQL abilities: SELECT, JOIN, GROUP BY, subqueries.  

- Introductory knowledge of Python or R for data manipulation.  

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

- Strong written and verbal communication—your insights must persuade.  

- Meticulous attention to data accuracy and version control.  

- Growth mindset; you treat feedback as fuel.


Preferred Extras (not mandatory)  

- Experience with cloud warehouses such as Snowflake, BigQuery, or Redshift.  

- Exposure to Git, Jupyter, or VS Code for collaborative analysis.  

- Basic understanding of A/B testing and statistical significance.  

- Visualization flair using Canva, Figma, or Adobe Illustrator.