At a Glance
- Tasks: Build and maintain analytics layers, ensuring clean and trustworthy data for stakeholders.
- Company: Join Flo Health Inc., a leading AI-powered digital health company for women.
- Benefits: Competitive salary, performance incentives, flexible working, and generous leave policies.
- Other info: Enjoy a 5-week paid sabbatical after 5 years and opportunities for professional growth.
- Why this job: Make a real impact in women's health while growing your skills in a dynamic environment.
- Qualifications: 5+ years in analytics engineering with strong SQL and Python skills.
The predicted salary is between 79000 - 95000 £ per year.
Join Flo Health Inc. as we build AI‑powered digital health for women. With 6M paid subscribers and a $1B valuation, we’re accelerating trust, privacy and clinical care at scale.
We’re looking for an analytics engineer who sits at the intersection of data engineering and analytics. You’ll bring engineering discipline to data modeling and transformation while ensuring data is clean, discoverable, and trustworthy so stakeholders can do their best work. A data analyst with strong SQL and Python who loves organizing and modeling data. A data engineer eager to get closer to business context and metrics.
What You’ll Do
- Build and maintain the analytics layer, including data transformations, marts, and semantic models.
- Partner with analysts and finance to define and implement core product and business metrics in our BI layer.
- Provide clean, well‑documented datasets and BI models that accelerate experimentation, product insights, and reporting.
- Apply validation, testing, and documentation standards to ensure high quality and trust in our data.
- Collaborate with the data platform team on ingestion, architecture, and performance optimization.
- Own data flows end‑to‑end, from event tracking definitions through ETL/ELT pipelines to ready‑made datasets and dashboards.
- Help define and enforce standards for how data models are stored, queried, and shared across the company.
Requirements
- 5+ years of experience in analytics engineering, data engineering, or data analysis with strong transformation ownership.
- Excellent SQL skills, including complex queries, window functions, and performance tuning.
- Solid Python skills for ETL/ELT, data wrangling, and workflow automation.
- Experience with data modeling techniques such as star schemas and dimensional modeling.
- Familiarity with modern data stack tools such as Databricks, Airflow, and Spark.
- Understanding of data warehousing concepts including ELT and optimization.
- Experience building metrics layers or standardizing business metrics is a plus.
- Knowledge of testing and version control practices (Git, CI/CD).
- Understanding of product and subscription metrics is an advantage.
- Experience with BI tools (e.g., Looker, Tableau, PowerBI).
Annual Salary Range: £79,000 - £95,000 GBP
What You’ll Get
- Competitive salary and annual reviews.
- Opportunity to participate in Flo’s performance incentive scheme.
- Paid holiday, sick leave, and female health leave.
- Enhanced parental leave and pay for maternity, paternity, same‑sex and adoptive parents.
- Accelerated professional growth through world‑changing work and learning support.
- Flexible office + home working, up to 2 months a year working abroad.
- 5‑week fully paid sabbatical at 5‑year Floversary.
- Flo Premium for friends.
Analytics Engineer employer: Flo Health Inc.
Flo Health Inc. is an exceptional employer that champions innovation in women's health through AI-powered solutions. With a strong commitment to employee well-being, we offer competitive salaries, generous leave policies, and unique benefits like a fully paid sabbatical after five years. Our collaborative work culture fosters professional growth and flexibility, making it an ideal environment for analytics engineers eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Flo Health Inc.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Analytics Engineer at Flo Health Inc..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Flo Health Inc..
✨Apply Directly through Our Website
When you find a suitable opening like Analytics Engineer at Flo Health Inc., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Flo Health Inc., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Flo Health Inc.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Flo Health Inc.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Flo Health Inc.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
