Senior Analytics Engineer, HeyJobs
GTM, German Speaker
Recruitment & talent platform
Be an early applicant
Recruitment & talent platform
201-500 employees
Be an early applicant
201-500 employees
Company mission
To help everyone find the right job to live a fulfilling life.
Role
Who you are
- Proven hands-on experience in Analytics Engineering or Data Science, ideally within GTM, product, or revenue data domains
- Advanced SQL proficiency and deep experience with modern data modeling practices (dbt, modular modeling, semantic layers, testing, documentation)
- Strong Python skills for data transformation, analytical automation, and model development
- Solid understanding of CRM data structures (Salesforce, HubSpot) and funnel analytics
- Proven ability to design analytical datasets and feature sets that support forecasting, scoring, and other predictive models
- Strong understanding of forecasting, pipeline management, and retention metrics
- Hands-on experience building and applying machine learning models (regression, classification, time series, churn prediction, scoring models)
- Fluent in English and German (C1 level), with the ability to collaborate effectively across cross-functional teams
What the job involves
- As a Senior Analytics Engineer (all genders) in our Revenue Intelligence & Systems team, you will design, build, and scale analytical data products that power predictive and prescriptive intelligence across the entire go-to-market funnel
- You will be a key partner to GTM Strategy, Finance, and Revenue Systems, translating complex business challenges into reliable, production-ready data assets - from forecasting and churn signals to lead and account scoring and next-best-action frameworks
- This is a high-impact, hands-on analytics role where your data models, pipelines, and analyses directly influence revenue performance, executive decision-making, and how our GTM teams operate every day.
- Design, build, and scale analytical data products that support forecasting models, churn detection, lead and account scoring, and next-best-action frameworks across the GTM funnel
- Develop and maintain high-quality data pipelines, feature stores, and analytical models that are reliable, scalable, and production-ready
- Partner with GTM Strategy to translate business questions into analytical requirements, metrics, and modeling approaches that drive measurable revenue impact
- Ensure end-to-end data usability across Salesforce, HubSpot, and the data warehouse by enforcing strong data modeling standards, clear semantics, and cross-system consistency
- Collaborate closely with Salesforce and Revenue Systems teams to build automated, event-driven ingestion pipelines that reliably serve downstream analytics and ML workloads
- Own and continuously evolve executive-level KPI logic and GTM performance models within a unified, governed source of truth aligned with Finance and Strategy
- Conduct advanced analyses - including statistical modeling, behavioral pattern detection, and funnel experimentation - to uncover trends, risks, and growth opportunities across the revenue engine
Our take
For a long time, recruitment has relied on the same outdated processes and job boards. HeyJobs leverages machine learning to modernise the sector with a self-learning algorithm that matches workers with jobs that fit their profile. It also optimises job adverts, saving employers money on their advertising spend.
HeyJobs is now used by enterprises such as Sky, PayPal, Allianz and Motel One among many others, and over 750,000 people have found jobs through the platform. Its success in breaking into a market dominated by large incumbents like TotalJobs and Indeed is a testament to the ability of its cutting edge product to match talent to opportunities.
The company has accrued impressive funding, which has enabled it to invest heavily in developing its AI and expanding into new markets. Despite success, in 2025 it had to cut jobs and shut locations - though this likely resulted from poor economic conditions rather than the company's missteps.
Freddie
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2022
$41.4m
SERIES B
May 2019
$11.9m
SERIES A
Total funding: $56.4m
Company benefits
- Diverse team: English is our working language. We have 23 different nationalities, 47% women (50% female leaders), a team of 40+ in tech, and are an LGBT+ champion
- High-growth stage: €20M+ in funding, currently raising a Series B, and more than doubling the team in 2022
- Work-Life balance: Hybrid working mode with 2 flexible days remote per week - due to COVID, currently 100% remote with the option to work from the office
- Great office: at Paul-Lincke Ufer (Kreuzberg) - great lunch options and food markets close by
- Perks & benefits: Mila health, discounted urban sports membership, team lunches, free drinks at the office, and much more
- High-quality equipment: Standing desks at the office, laptop of choice (Thinkpad / MacBook), headset, monitor for remote work
Company HQ
Kreuzberg, Berlin, Germany
Leadership
Marius Luther
(CEO & Co-founder)Previously worked as a Consultant at McKinsey, and was CMO of Wimdu. Was Founder & CEO of Memorado.
Marius Jeuck
(Co-founder)Was Co-Founder & Head of Data Intelligence at Wimdu, and Founder & CTO of Memorado.
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