At a Glance
- Tasks: Lead product analytics to optimise our AI SaaS products and drive business impact.
- Company: Join Matillion, a pioneering data integration platform transforming how the world works with data.
- Benefits: Enjoy competitive salary, equity, 30 days holiday, health insurance, and flexible working culture.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Be at the forefront of AI and SaaS, shaping the future of data engineering.
- Qualifications: Proven experience in Product Analytics or Data Science with strong statistical analysis skills.
The predicted salary is between 102000 - 153000 £ per year.
Ready to shape the future of data? Matillion is the intelligent data integration platform. We are changing how the world works with data – and we need driven, curious people who think big and move fast. We built the Data Productivity Cloud to supercharge data productivity, and now we’re shaping the future of data engineering with Maia – our AI‑powered virtual data engineers that help teams design, build, and manage data pipelines at unmatched speed. Join #TeamGreen, where the mission comes first, collaboration drives us forward, and everyone pulls in the same direction to make a dent in the universe bigger than ourselves.
We are now looking for a Product Analytics Lead to help us drive the future of AI SaaS.
About the role
This is a high‑impact, hands‑on role where you will be the analytical cornerstone of our SaaS products, Data Productivity Cloud and Maia. We are looking for a Player‑Coach; a seasoned expert who can deliver sophisticated analysis while mentoring a small, dedicated team. Your work will directly measure, understand, and optimise usage, adoption, and the business impact across our entire product suite. If you’re a Product Analytics expert with a passion for Product‑Led Growth and a talent for transforming complex data into executive‑ready insights, then this is the role for you.
What you’ll be doing
- You will drive quantifiable business impact by measuring, understanding, and optimising the usage and adoption of our SaaS products, Data Productivity Cloud and Maia.
- You will be the primary analytical expert, applying deep statistical analysis, experimentation, and advanced techniques to large product telemetry datasets.
- You will drive Product‑Led Growth success by translating data insights into actions that directly influence key product metrics and adoption motions.
- You will be the data storyteller, creating executive‑ready insights through high‑quality visualisations, presentations, and compelling narratives.
- You will act as a Player‑Coach, maintaining a primary hands‑on contribution while mentoring and guiding a small team of junior analysts/data engineers.
What we are looking for
- Significant experience in Product Analytics or Data Science with a proven track record of driving quantifiable business impact.
- Deep expertise in statistical analysis, experimentation, and advanced analytics techniques.
- The ability to analyse massive datasets from product telemetry (event streams, logs) and testing.
- Excellent communication and executive presentation skills, mastering data visualisation and storytelling.
- An expert with strong product instincts, able to take a loose analytical brief and execute autonomously (Nice to have: Experience with Python, Snowflake, or ThoughtSpot).
Ready to put your analytical prowess to work for a company at the forefront of AI and SaaS? Apply now!
At Matillion, we are committed to providing competitive salaries in line with market standards. Our estimated compensation range for this position is £102,000- £153,000, but the final salary will be based on your relevant skills, experience and qualifications demonstrated in the hiring process.
At Matillion, we’re here to do something hard – change the way the world works with data, and build a great company along the way. Big, bold goals aren’t for the faint‑hearted, and we do not shy away from them. But we don’t do it alone. No egos, no politics – just great people working together, guided by our six core values:
- Confidence without arrogance
- Working with integrity
- Customer obsessed
- Innovate and demand quality
- Bias for action
- We care
We operate a flexible working culture that promotes work‑life balance, with benefits including:
- Company Equity
- 30 days holiday + bank holidays
- 5 days paid volunteering leave
- Health insurance
- Life Insurance
- Pension
- Access to mental health support
More about Matillion: Thousands of enterprises including Cisco, London Stock Exchange Group, EDF and Slack trust Matillion for a wide range of use cases from insights and operational analytics, to data science, machine learning and AI. We are a truly global workforce, dual headquartered in Manchester, UK and Denver, Colorado, with expanding offices in Hyderabad, India, along with valuable remote colleagues around the world.
We are keen to hear from prospective Matillioners, so even if you don’t feel you match all the criteria please apply and a member of our Talent Acquisition team will be in touch. Alternatively, if you’re interested in Matillion but don’t see a suitable role, please email talent@matillion.com.
Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Product Analytics Lead in Manchester employer: Matillion
At Matillion, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through mentorship opportunities and the chance to lead impactful projects in the rapidly evolving AI data automation space. Located in the vibrant EMEA region, we offer a dynamic work environment where your contributions directly influence our global success and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analytics Lead in Manchester
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We think you need these skills to ace Product Analytics Lead in Manchester
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Matillion. 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 Matillion
✨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!
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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
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✨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.
