At a Glance
- Tasks: Design and maintain product analytics, build data models, and create insightful dashboards.
- Company: Join ZYMIX, a Gen Z social super-app launching in the UK.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and personal development.
- Why this job: Be at the forefront of product analytics and make a real impact on user engagement.
- Qualifications: 3+ years in product analytics, strong SQL skills, and experience with BI tools.
The predicted salary is between 63000 - 77000 £ per year.
ZYMIX is a Gen Z social super-app launching in the UK.
We are hiring a hands-on Analytics Engineer to join Growth Intelligence (GI) and bridge product analytics with data building—from event tracking and data modelling to dashboards and business insight.
What you'll do
- Design and maintain product event tracking plans, event properties and analytics data standards; work with Product and Engineering to ensure implementation supports future analysis.
- Build and maintain analytical data models and ADS tables across My SQL, Postgre SQL and Doris Event data; develop reusable SQL pipelines for product and business metrics.
- Own analytics data quality: reconcile production, Event and ADS data, validate tracking, investigate anomalies and establish reliable checks and metric definitions.
- Analyse acquisition, activation, engagement and retention; build funnel and cohort analyses, segment user behaviour and identify product and growth opportunities.
- Support A/B tests and product experiments by defining success metrics, evaluating results and translating findings into clear recommendations.
- Build and maintain Quick Sight datasets, dashboards and automated reports; monitor key metrics and improve reporting efficiency and self-service.
- Partner with Product, Engineering, Growth, Marketing and Operations to turn business questions into reusable data products and actionable insights.
What we're looking for
- 3+ years of relevant experience in product analytics, analytics engineering, growth analytics or BI, with evidence of independently owning data projects.
- Strong SQL skills and the ability to work confidently with joins, aggregations, window functions, reusable transformations and data troubleshooting.
- Experience with analytical data modelling, business metric definitions and building maintainable ADS or semantic-layer datasets.
- Practical understanding of event tracking design, event properties and how tracking decisions affect funnels, retention and product analysis.
- Experience building BI dashboards and automated reporting; able to turn raw data into clear business conclusions and recommendations.
- Strong logical thinking, ownership and communication skills; able to work effectively with both technical and business teams in English.
- Nice to have
- Quick Sight, Tableau or Power BI; Amplitude, Mixpanel or GA4; Airbridge or Adjust; mobile-app, social-product, growth or experiment-analysis experience.
- Understanding of data warehouse architecture and ETL processes; exposure to Airflow, dbt, Git or Python is helpful but not required.
- How the role works
This is not a read-only analyst role.
You will own the GI-controlled analytics schema, transformations and BI datasets, with appropriate development access.
Engineering remains responsible for application databases, event collection and core platform availability; you will partner with them on source and infrastructure changes.
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Analytics Engineer (Product Analytics) employer: Flicknmix Ltd
Flicknmix Ltd is an exciting early-stage startup located in the vibrant tech hub of Greater London, offering a dynamic work culture that fosters creativity and innovation. As a Product Designer, you'll have the opportunity to shape impactful mobile app experiences while collaborating closely with a passionate team. With a focus on employee growth and development, we provide unique opportunities for skill enhancement and career progression in a supportive environment.
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We think this is how you could land Analytics Engineer (Product Analytics)
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We think you need these skills to ace Analytics Engineer (Product Analytics)
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