Senior Data Analyst
Posted 2 days ago by Time Doctor
Negotiable
Undetermined
Remote
United Kingdom
Summary: The Senior Data Analyst at Time Doctor will be responsible for delivering comprehensive analytics solutions that enhance decision-making and data trust within the organization. This role requires collaboration with Data Engineering to ensure the readiness of data pipelines and the development of scalable BI solutions. The position is fully remote and emphasizes a hands-on approach to analytics, data engineering, and business enablement. The analyst will play a crucial role in translating business needs into actionable metrics and frameworks.
Key Responsibilities:
- Own the full analytics delivery lifecycle, from requirements to production BI.
- Design and maintain dimensional data models, semantic layers, and curated datasets.
- Partner with Data Engineering on pipelines, freshness SLAs, and transformations.
- Build and evolve standardized dashboards, reports, and self-service analytics.
- Translate business needs into clear metrics, KPIs, and analytical frameworks.
- Implement data quality checks, monitoring, alerting, and lineage.
- Reduce ad-hoc requests through reusable datasets and automated reporting.
- Act as a technical bridge between Product, Business, Solutions, and Engineering.
Key Skills:
- 4+ years combining data analysis with hands-on data engineering/ETL experience.
- Expert SQL (complex queries, optimization, window functions).
- Strong dimensional modeling (star/snowflake schemas) and semantic layers.
- Experience with cloud data warehouses (BigQuery preferred).
- Proven delivery of production BI solutions (Qlik, Looker, Tableau, Power BI, etc.).
- Python for data transformation, automation, or custom scripting.
- Hands-on with dbt or similar (transformations as code) + Git.
- Knowledge of data quality, observability, monitoring, and alerting in production.
- Track record owning end-to-end analytics solution development.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job description
About Time Doctor
Time Doctor is a productivity analytics platform used by thousands of companies worldwide to measure, understand, and improve how work gets done. With 150+ team members across 45+ countries, we’re a fully remote, async-first, and deeply global team.
Why Join Us
- 100% remote and async-first — work from anywhere
- Mission-driven company shaping the future of work
- Strong product-market fit with tens of thousands of users (and growing)
- Collaborative, humble, high-performing team
- Competitive pay + 30+ days of paid time off
The Role
As a Senior Data Analyst at Time Doctor, you’ll own the end-to-end delivery of trusted analytics solutions built on our Single Source of Truth. This is a high-ownership, hands-on role sitting at the intersection of analytics, data engineering, and business enablement. You’ll partner closely with Data Engineering to ensure pipelines, transformations, and models are production-ready, and you’ll deliver standardized, scalable BI solutions used by internal teams and customers. Your work will directly impact decision-making, data trust, and analytics adoption across the company.
Team & Reporting Structure
Reports directly to the Director of Data. Part of Product Engineering, Data & Integrations, Analytics & BI team. Works closely with Data Engineering, Product, Business, and Solutions teams.
Key Responsibilities:
- Own the full analytics delivery lifecycle, from requirements to production BI.
- Design and maintain dimensional data models, semantic layers, and curated datasets.
- Partner with Data Engineering on pipelines, freshness SLAs, and transformations.
- Build and evolve standardized dashboards, reports, and self-service analytics.
- Translate business needs into clear metrics, KPIs, and analytical frameworks.
- Implement data quality checks, monitoring, alerting, and lineage.
- Reduce ad-hoc requests through reusable datasets and automated reporting.
- Act as a technical bridge between Product, Business, Solutions, and Engineering.
Job Requirements:
- 4+ years combining data analysis with hands-on data engineering/ETL experience
- Expert SQL (complex queries, optimization, window functions)
- Strong dimensional modeling (star/snowflake schemas) and semantic layers
- Experience with cloud data warehouses (BigQuery preferred)
- Proven delivery of production BI solutions (Qlik, Looker, Tableau, Power BI, etc.)
- Python for data transformation, automation, or custom scripting
- Hands-on with dbt or similar (transformations as code) + Git
- Knowledge of data quality, observability, monitoring, and alerting in production
- Track record owning end-to-end analytics solution development
Preferred Qualifications:
- Experience with Python web frameworks for custom reporting applications, including embedding BI dashboards.
- Experience with customer-facing or embedded analytics in SaaS environments
- Familiarity with product analytics platforms (Amplitude, Mixpanel, etc.)
- Exposure to embedding predictive or AI features into BI solutions
Our Hiring Approach
- This is a full-time, 100% remote role , giving you the freedom to work from anywhere.
- Equal opportunity employer — we deeply value diversity and inclusion. We welcome applicants of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability.
- We hire globally . Depending on your location, you may join as a full-time employee or contractor. Our Talent Attraction team will walk you through all the details during your first interview.
About Us
Our vision is to become the most trusted productivity and time-tracking platform for remote teams. We help companies and employees do their best work , empowering people to thrive wherever they are. We believe geography shouldn’t limit opportunity — office life is outdated, and flexibility is the future. With 150+ team members across 40+ countries , we’re a diverse, fully remote, and async-first team. We’re looking for innovative, globally minded people who want to help modernize remote work.
Learn more about us here: