Data Analyst, Marketing
Germany
Applications have closed
Kaia Health
Kaia Health helps large employers and health plans tackle musculoskeletal (MSK) conditions. ✓ ROI guarantee ✓ No straps or hardware ✓ Bill via medical claimsOur story began in 2016, when our founders Konstantin Mehl and Manuel Thurner, set out on a mission to bring affordable and accessible relief to millions of people with chronic conditions. No strangers to chronic pain themselves, they decided to innovate ways to remove the obstacles many people experience in getting the leading-edge care they need in order to live their best lives.
How do Kaia apps work? Kaia uses a dynamic AI-powered algorithm. Our programs are based on multimodal rehabilitation, a holistic approach to managing chronic conditions. Our users have easy access via smartphone and tablet to our programs for back/hip/knee pain and COPD using this evidence-based approach.
Five years into our story, we are a leader in digital therapeutics, with 500,000+ users worldwide. Having raised $125 million from investors such as Optum Ventures, idInvest, and Balderton Capital. We are poised to create a global footprint in digital self-care; Kaia is patient empowerment made easy.
The regulatory landscape is quickly adapting to the digital ecosystem. Therefore, our mission and strategy bring new opportunities for exceptional talent to join our journey. With over 150 “Kaianeers” spread across the globe, we need now, more than ever, specialized talent to help take our mission further.
We are looking for an experienced marketing analyst to join our Business Analytics team. As a data analyst focused on direct-to-consumer marketing analytics, you will lead efforts to reach and acquire users in the German market. The Digital Supply Act (Digitale–Versorgung–Gesetz) gives Kaia a unique opportunity to provide care to millions of German citizens; you will help optimize efforts to reach individuals who can benefit from Kaia’s therapeutic programs. You will work closely with stakeholders from EU Marketing, Operations, and Product teams. Together with peers in the Business Analytics team, you will help Kaia understand our users and measure the impact of our outreach campaigns.
What you will be doing
- Analyze user acquisition journeys within Kaia’s digital therapeutics programs, from initial outreach to first interactions on the app.
- Create dashboards and reports tracking the performance of multi-channel marketing campaigns to drive website visits, app downloads, and ultimately initial product usage.
- Work directly with Kaia’s EU Marketing team to understand the campaign effectiveness and cost-efficiency of Kaia’s marketing program. You will own this workstream end-to-end: determine KPIs in collaboration with the marketing team, measure those KPIs, and report insights to the team to enable data-driven decision making and campaign optimization
- Collaborate with Data Engineering and Web Developers to embed necessary tracking and tagging in user flows.
- Collaborate with Product Engineering and Data Engineering to establish a modern technology stack and data architecture to scale marketing analytics efforts.
- Work together with the rest of the Analytics team to deliver insights that fuel Kaia’s ability to support our users in their health journey.
What you need for this position:
- 5-8 years of experience in data analytics, data science, business analytics, or a related field
- 3+ years of experience analyzing direct-to-consumer marketing and user acquisition campaigns
- Comfort analyzing and processing relevant marketing data from multiple sources, including Google ads, App Store, CRM, social (e.g. Facebook), web analytics, and mobile events
- Quantitative skills and an analytical mindset with academic training in STEM field (such as Computer Science, Engineering, Data Science, Statistics) or equivalent practical experience
- Comfort leading and owning high-impact work streams
- Proficiency with data visualisation tools (such as Mixpanel, Looker or similar) for developing interactive reports and analyses for stakeholders with non-technical background
- Familiarity with web analytics tools, such as Google Analytics
- Basic literacy in and ability to perform statistical analysis using SQL and Python software
- The ability to work in a fast-paced and dynamic environment
Ideally you also have (optional):
- Experience in digital health or working with healthcare data (including sensitive personal health information)
- Experience operating in a regulated and privacy conscious market
You can directly influence the future of digital health in a team of industry experts and digital shapers.
You will work alongside serial entrepreneurs (previously founded and scaled another startup, Foodora).
You’ll enjoy accessible leaders, a hybrid (home/office) or remote work environment, and flexible vacation and working times.
We support your professional development and have a budget and PTO set aside for you just for that! Happy hours, team events, and knowledge-sharing sessions.
Join us if you’re looking for an entrepreneurial adventure and an exciting place to grow personally and professionally.
Tags: Business Analytics Computer Science Data Analytics Engineering KPIs Looker Python SQL Statistics STEM
Perks/benefits: Career development Flex hours Flex vacation Health care Home office stipend Startup environment Team events
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