Flicknmix Ltd
Analytics Engineer (Product Analytics)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About ZYMIX
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 MySQL, PostgreSQL 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 QuickSight 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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice to have
- QuickSight, 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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location