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Data Analyst / Data Scientist
Role & responsibilities
Cleans and models datasets, builds dashboards or experiments, explains findings to stakeholders, and partners with teams to drive data-informed actions.
Key strengths
- Analytical thinking28% (Job)
- Technical skills22% (Job)
- Problem solving18% (Job)
- Attention to detail14% (Job)
- Communication10% (Job)
- Teamwork8% (Job)
What this means for you
- Analytical thinking – Frames questions and selects the right analytical methods.
- Technical skills – Builds queries, models, and visualizations that scale.
- Communication – Explains findings and trade-offs to non-technical audiences.
Typical tasks
- Collect, clean, and analyze data to answer business questions
- Build models or dashboards to highlight trends and drivers
- Communicate findings and recommendations to stakeholders
Daily work
- Presents insights and iterates on metrics with teams
- Checks data freshness and dashboards each morning
- Cleans and joins datasets to answer stakeholder questions
Education & entry routes
Helpful but not mandatory
- SQL or BI certifications
- Statistics or machine learning coursework
Alternative pathways
- Product Analytics Specialist
- Operations Analyst
- Business Intelligence Analyst
Work environment
- Team size
- Works within data or analytics teams
- Typical employers
- Tech firms, enterprises, consultancies
- People contact
- Regular collaboration with product, finance, and business teams
- Stress level
- Moderate with peaks before presentations or releases
- Working hours
- Flexible hours aligned to sprints and reporting cycles
Entry & progression
Common entry roles
- Data Analyst Intern
- Junior Data Scientist
Next career steps
- Analytics Lead
- Senior Data Analyst