At a Glance
- Tasks: Own analytics delivery, design data models, and build impactful BI solutions.
- Company: Join a mission-driven, fully remote team shaping the future of work.
- Benefits: Competitive pay, 30+ days off, and the freedom to work from anywhere.
- Why this job: Make a real impact on decision-making with trusted analytics solutions.
- Qualifications: 4+ years in data analysis and engineering, expert SQL skills required.
- Other info: Diverse, collaborative team with excellent growth opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
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.
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.
- 4+ years combining data analysis with hands‑on data engineering/ETL experience.
- Expert SQL (complex queries, optimization, window functions).
- 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.
- 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.
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.
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.
Senior Data Analyst employer: Time Doctor
Contact Detail:
Time Doctor Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or other platforms. Ask them about their experiences and the company culture. This not only gives you insider info but also shows your genuine interest in the role.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data engineering skills. Be ready to discuss your past projects and how you've tackled challenges. We want to see your hands-on experience shine through!
✨Tip Number 3
Showcase your analytical mindset! During interviews, think aloud when solving problems. This helps us understand your thought process and how you approach data challenges. Remember, it's all about collaboration!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're keen on joining our mission-driven team at Time Doctor.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with SQL, data engineering, and BI solutions. We want to see how your skills align with our mission-driven approach!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data analytics and how you can contribute to our team. Don’t forget to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: We’re looking for hands-on experience, so be sure to include specific examples of your work with data pipelines, transformations, and BI tools. Let us know how you've owned the analytics delivery lifecycle in past roles!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our Talent Attraction team!
How to prepare for a job interview at Time Doctor
✨Know Your Data Inside Out
As a Senior Data Analyst, you’ll need to demonstrate your expertise in data analysis and engineering. Brush up on your SQL skills, especially complex queries and optimisations. Be ready to discuss your past projects where you’ve delivered production BI solutions, showcasing your hands-on experience with tools like Qlik or Tableau.
✨Understand the Business Impact
Make sure you can translate technical jargon into business language. Prepare examples of how your analytics work has directly influenced decision-making in previous roles. This will show that you understand the importance of your role in driving business success and analytics adoption.
✨Collaborate Like a Pro
Since this role involves working closely with Data Engineering and other teams, be prepared to discuss your collaborative experiences. Share specific instances where you acted as a bridge between technical and non-technical teams, ensuring everyone was aligned on project goals and outcomes.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about how you would approach data quality checks or implement monitoring and alerting in production. This will highlight your analytical thinking and ability to handle real-world challenges in data analytics.