Product Analyst, HeyJobs
€55-65k
Recruitment and talent platform
Be an early applicant
Recruitment and talent platform
201-500 employees
Be an early applicant
€55-65k
201-500 employees
Company mission
To help everyone find the right job to live a fulfilling life.
Role
Who you are
- A degree in Business, Economics, Statistics, Mathematics, Engineering, or a related field
- Strong proficiency in SQL
- Hands-on experience in data analysis and reporting, with proven skills in visualizing data and building dashboards using Tableau (or similar tools like Looker, Power BI, Qlik Sense)
- Familiarity with product and web analytics tools such as Kubit, Mixpanel, Segment, or Indicative is a strong plus
- A solid foundation in inferential statistics, particularly the best practices and limitations of hypothesis testing
- Experience with Python is a plus
- Fluent in English (written and verbal); German skills are a plus
What the job involves
- As a Product Analyst, you will work closely with our Product Managers to understand their needs, you will deliver analyses and reporting, but most importantly you will be instrumental in building the underlying data models that fuel our analytical tools and experimentation engine for both the Talent and the Recruiter side of the Product
- Your data models, dashboards, metrics, analysis, self-service data tools, and most importantly your ownership and drive will empower them to make the right decisions
- Analyse and interpret results as well as turn complex data into simple understandable information. Derive key messages and conclusions of the analysis and enable actionable measures
- Analyse the user behaviour in our Talent and Recruiter Platforms and build relevant data models to support in understanding and shaping the user journey
- Proactively improve our A/B testing landscape, and set the foundation for the Product Managers to uncover user pain points, reduce churn, identify and set up user segmentation, implement funnels and cohort analyses
- Understand and shape our web tracking infrastructure
- Independently deliver on projects, such as complex analyses and dashboards, build reporting for end-users, and execute tasks successfully that impact the team's OKRs
- Define new metrics and make sure that KPI definitions are aligned and help to improve overall data literacy across all parts of the organization
- Proactively identify data needs and quality issues, define data quality improvements, and if needed also coordinate their implementation with our Data Warehouse Engineers
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.
The platform 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. In 2021 it doubled its headcount and is looking to continue to onboard talent to help power its R&D efforts and its rapid growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
14% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Mar 2022
$40.6m
SERIES B
May 2019
$11.6m
SERIES A
Total funding: $55.4m
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
Leadership
Marius Luther
(CEO)Previously worked as a Consultant at McKinsey, and was CMO of Wimdu. Was Founder & CEO of Memorado.
Marius Jeuck
(CTO)Was Co-Founder & Head of Data Intelligence at Wimdu, and Founder & CTO of Memorado.
Marius Luther
(CEO)Was previously Founder & CEO of Memorado. Before than was CMO at Wimdu and a Consultant for McKinsey & Co.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 1 more job at HeyJobs