Senior Analytics Engineer (Marketing)
- Role
- Data Engineering
- Experience
- Senior
- Employment
- Contract
- Company size
- Mid-size
Open to UA only. Set where you work from to check your eligibility.
Core skills
Optional skills
Required languages
Who Are We?
Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.
We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.
With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting
WHAT WE'RE LOOKING FOR
We are looking for a Senior Marketing Analytics Engineer focused on measurement and signal engineering — ensuring Meta, Google Ads, TikTok, and other ad platforms receive accurate, timely, and high-quality conversion signals. You will work closely with Marketing, Product, Data Engineering, and ad platform representatives to improve campaign measurement and optimization.
MAIN RESPONSIBILITIES
- Marketing & signal optimization — Partner with Marketing and ad network representatives to improve conversion signals, assess product and ad platform changes, and investigate signal-related performance drops.
- Ad network S2S integrations — Design and maintain conversion pipelines for ad networks with support from Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery.
- New ad platform onboarding — Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing
- Pixel & GTM management — Manage GTM releases across multiple web properties and implement pixels and conversion events for ad networks.
- Signal quality & monitoring — Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies.
- UTM & Attribution — Maintain UTM parameters and campaign naming conventions and ensure correct attribution.
- Reporting & analytics — Build ad-hoc and monitoring reports for conversion values, bidding performance, signal delivery, and funnel metrics. Define Signal Engineering metrics.
- Marketing datasets — Build and maintain custom marketing datasets
REQUIRED SKILLS AND EXPERIENCE
- 3+ years of experience in marketing analytics, digital measurement, ad tech, or tracking
- Advanced SQL (window functions, CTEs, performance-aware querying, data quality checks) and experience working with large data warehouses
- Hands-on experience with Google Tag Manager
- Experience with visualization tools (Tableau, Looker, or similar) — Tableau is our primary BI tool
- Proven experience partnering with performance marketing/user acquisition stakeholders and communicating insights to non-technical audiences
- Understanding of browser-side and server-side tracking
- Hands-on knowledge of at least one ad platform, including campaign types, bidding strategies, and conversion setup
- Solid understanding of marketing metrics
- Understanding of GDPR-compliant tracking approaches
- Ability to communicate effectively in English (written + spoken)
NICE TO HAVE
- Understanding of mobile attribution & tracking, including SKAdNetwork (SKAN), and experience with an MMP such as AppsFlyer, Adjust, or similar.
- Experience with incrementality and holdout testing (e.g. Meta Conversion Lift, Google Ads Conversion Lift, geo-experiments) to validate the impact of signal changes on campaign performance
- Experience with Meta Conversions API (CAPI) or Google Data Manager API.
- Experience with LTV modeling and calculations, preferably for subscription-based products.
- Experience with Airflow, dbt, or similar data tools.
Candidate journey
⭕️ Recruiter call --> ⭕️ Technical interview --> ⭕️ Take-home Task --> ⭕️ Panel presentation
Check out some of our products
What you'll do
- Partner with Marketing and ad network representatives to improve conversion signals, assess product and ad platform changes, and investigate signal-related performance drops.
- Design and maintain conversion pipelines for ad networks with support from Data Engineering team. Ensure timely, deduplicated, and high-quality signal delivery.
- Set up and launch integrations with new ad platforms, covering conversion signal delivery and reporting data feeds for Marketing
- Manage GTM releases across multiple web properties and implement pixels and conversion events for ad networks.
- Monitor Meta EMQ, pixel and CAPI diagnostics, deduplication, Google Ads conversion diagnostics, Enhanced Conversions, click ID capture, and offline conversion uploads. Build monitoring and alerts for errors, latency, coverage, and discrepancies.
What they require
- 3+ years of experience in marketing analytics, digital measurement, ad tech, or tracking
- Advanced SQL (window functions, CTEs, performance-aware querying, data quality checks) and experience working with large data warehouses
- Hands-on experience with Google Tag Manager
- Proven experience partnering with performance marketing/user acquisition stakeholders and communicating insights to non-technical audiences
- Understanding of browser-side and server-side tracking
Health & Fitness