Career Ladder Inspiration · Multi-Role

Generic's multi-role career framework

Generic data science career ladder covering 5 competency areas across 5 levels from Data Analyst to Staff Data Scientist. Great starting point for teams building their first data career framework.

Company Generic|Year 2026|Discipline Multi-Role|Tracks TBD|License

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	Data Analyst	Senior Data Analyst	Data Scientist	Senior Data Scientist	Staff Data Scientist
Skills Analytical & Statistical Skills	Performs exploratory data analysis. Understands basic statistical concepts. Creates dashboards and reports using standard tools.	Applies advanced statistical techniques. Designs experiments and A/B tests. Identifies trends and patterns in complex datasets. Validates findings rigorously.	Employs complex statistical and machine learning techniques. Develops predictive models. Applies the scientific method to research. Grounded in theoretical literature.	Develops novel analytical approaches. Creates production-ready models. Deep expertise in multiple statistical and ML domains. Pushes boundaries of analytical capability.	Defines the organization's analytical and modeling strategy. Creates novel methodologies. Recognized as a thought leader in data science.
Skills Business Impact	Delivers analyses that inform team-level decisions. Understands basic business context for their work.	Delivers insights that drive product and business decisions. Translates business questions into analytical frameworks. Communicates findings to stakeholders effectively.	Conducts research that significantly impacts product strategy. Sees the bigger picture before the audience will. Leads colleagues to the right decision.	Drives data strategy for multiple product areas. Identifies high-leverage opportunities through data. Creates frameworks that scale analytical impact.	Shapes company-wide data strategy. Identifies transformative opportunities through advanced analytics. Influences business direction through data expertise.
Skills Technical Proficiency	Proficient in SQL and basic programming. Uses standard BI and visualization tools. Creates clear, accurate reports.	Strong programming skills (Python/R). Understands database architecture and data pipelines. Creates automated analyses and dashboards.	Comfortable developing production code. Understands technical performance characteristics. Can assess and develop production-quality analytical systems.	Architects data pipelines and analytical systems. Deep expertise in data infrastructure. Creates tools and frameworks used across the data team.	Defines the organization's data infrastructure strategy. Creates foundational data systems. Sets standards for data engineering and analytical tooling.
Skills Communication & Storytelling	Presents findings clearly to immediate team. Creates basic visualizations. Learning to tell stories with data.	Crafts compelling data narratives. Uses the right visualization for the job. Easily moves between technical and lay explanations of the same topic.	Communicates complex analytical findings to executive audiences. Leads data-driven decision making across teams. Teaches others to be more data-literate.	Communicates data strategy at the organizational level. Influences product direction through data storytelling. Builds data culture across the company.	Represents the organization's data perspective externally. Shapes industry practices around data-driven decision making.
Skills Collaboration & Mentorship	Collaborates within the data team. Seeks guidance from senior analysts. Learning to work with cross-functional partners.	Works effectively with product, engineering, and business teams. Mentors junior analysts. Contributes to hiring and interview processes.	Mentors across the data team. Drives adoption of data-driven practices in partner teams. Establishes data review processes.	Grows senior data professionals into leaders. Establishes mentorship programs. Shapes data team culture and practices.	Builds the next generation of data leaders. Defines data culture at the organizational level. Industry thought leader in data science.

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