We use the following criteria to assess the level and title of our data analysts at Basecamp. These criteria aren't exhaustive, and they aren't mere checklists. They're a guidance to having an individualized discussion about career progression.
- Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers.
- Identifies and interprets trends and patterns in datasets to locate influences.
- Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge.
- Creates specifications for reports and analysis based on business needs and required or available data elements.
- May provide consultation to users and lead cross-functional teams to address business issues.
- May directly produce datasets and reports for analysis using system reporting tools.
- Work doesn't necessarily need to be reviewed, but general approach may be.
- Comfortable operating as a manager of one, self-directing scope of work and setting timelines independently.
- Can provide informed advice to other teams on how best to approach data-related problems.
- Usually at least 5 years of experience.
- Work happens autonomously with no regular need for unsolicited review. Brings in appropriate stakeholders for input and feedback on a timeline that makes sense for all involved.
- Advocates for impactful projects that require cross-team collaboration. Able to run and direct small self-organized teams for such projects.
- Leads in making decisions on when and how substantial changes to the data analytics tooling and workflow are needed.
- Turns implicit knowledge explicit by documenting processes, key decisions, schematics, and other facts regularly.
- Makes data more accessible across the company by publishing relevant analyses and training others throughout the company on how to access data unaided.
- Helps set and maintain professional standards for the entire organization. Is highly regarded by others in the company and works to make the company better as a place to work.
- Usually at least 8 years of experience.
- Can set and direct a large, cross-department project team towards one goal. Capable of running and directing those teams for substantive long-term projects.
- Pushes the whole organization forward regularly through the use of different organizational concepts and analytical applications.
- Regularly publishes and shares analysis process insights inside and outside the company.
- Capable of designing and architecting new data analytics tooling and workflows.
- Usually at least 12 years of experience.