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Data Analyst - Finance
Reads like an Analytics Engineer role: dbt models and clean tables.
Frankfurt
Live, first seen by us 15 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Permanent · Full-time — employment source
Employment type Permanent – Full Time
Employment type in the employer’s posting: Permanent – Full Time
From the employer’s posting
What you’ll work on
Full postingAnalyze financial data and build dashboards that explain the findings
Design, build and maintain dbt data models for finance reporting
Write SQL and Python for analytics workflows and reusable tooling
Automate data collection, cleaning, transformation and deployment
Translate open business questions into clear analytical deliverables
From the employer’s posting
Analyze data (primarily financial), generate insights, and set up dashboards that convey them clearly and intuitively to stakeholders.
Design, build, document and maintain scalable data models using dbt (in Paradime) to support finance and cross-functional reporting needs.
Write production-grade SQL and Python to support analytics workflows and reusable analytical tooling.
Automate data collection, cleaning, transformation, and deployment
translate ambiguous questions into clear analytical deliverables
Education & alternatives
Who we´re looking for - Required Qualifications Bachelor's/ Master's / PhD in Economics, Computer Science, Data Science, Mathematics, Business Informatics, or a related quantitative field. Additional certifications are a plus (CFA, CFI etc.) - Proven 3+ years of experience in analytics or analytics engineering, ideally in a Finance, Fintech, or commercial context. Exposure to data science is a plus.
Benefits in the posting
Full benefits wording- Discounts on our top-notch products.
- Become an Emmie
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 20, 202615 days ago
- Recorded sightings
- 5
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Oct 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Emma-Sleep is hiring
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- dbt
- Power BI
- Redshift
- Tableau
Where the posting names them
- Analyze data (primarily financial), generate insights, and set up dashboards that convey them clearly and intuitively to stakeholders. - Write production-grade SQL and Python to support analytics workflows and reusable analytical tooling. - Design, build, document and maintain scalable data models using dbt (in Paradime) to support finance and cross-functional reporting needs.
- Proven 3+ years of experience in analytics or analytics engineering, ideally in a Finance, Fintech, or commercial context. Exposure to data science is a plus. - Excellent programming skills in SQL and Python. - Familiarity with version control (Git).
- Contribute to data quality, testing, documentation, and engineering standards across the analytics stack. - Mentor more junior team members on SQL, modeling best practices, and analytical rigor. - Partner with a talented group of Data Engineers, Analysts, and Scientists, contributing to and learning from their diverse experience and skills.
- Write production-grade SQL and Python to support analytics workflows and reusable analytical tooling. - Design, build, document and maintain scalable data models using dbt (in Paradime) to support finance and cross-functional reporting needs. - Automate data collection, cleaning, transformation, and deployment, ensuring data is reliably available for analysis.
- Strong experience with at least one major BI/visualization tool: Tableau, Power BI, or equivalent. - Hands-on experience with dbt and a solid understanding of data warehousing concepts and ETL best practices. - Previous experience with Paradime is a plus.
- Familiarity with version control (Git). - Strong experience with at least one major BI/visualization tool: Tableau, Power BI, or equivalent. - Hands-on experience with dbt and a solid understanding of data warehousing concepts and ETL best practices.
- Previous experience with Paradime is a plus. - Experience working with modern cloud data warehouses (Redshift etc) is a plus . - Strong quantitative and analytical reasoning skills.
Your next step
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Job description
Ready to lead, disrupt and reinvent the sleep industry?
We are Emma – The Sleep Company. Founded in 2015, we have grown into the world’s largest direct-to-consumer (D2C) sleep brand, with a presence in over 20 markets and more than 35 Emma stores across Europe.
Our mission is simple: to develop sleep comfort products that empower our customers to awaken their best every day. Today, our products are trusted by millions and recommended by leading consumer associations worldwide.
It’s our people who bring this mission to life. At Emma, you’ll join a driven, international team that values ownership, collaboration, and continuous knowledge sharing. With colleagues from over 70 nationalities, we combine diverse perspectives with a shared ambition to learn, grow, and create lasting impact, together.
Ready to awaken your best with us?
What you will do:
- Partner closely with Finance team, Engineering and Business stakeholders to translate ambiguous questions into clear analytical deliverables.
- Analyze data (primarily financial), generate insights, and set up dashboards that convey them clearly and intuitively to stakeholders.
- Write production-grade SQL and Python to support analytics workflows and reusable analytical tooling.
- Design, build, document and maintain scalable data models using dbt (in Paradime) to support finance and cross-functional reporting needs.
- Automate data collection, cleaning, transformation, and deployment, ensuring data is reliably available for analysis.
- Contribute to data quality, testing, documentation, and engineering standards across the analytics stack.
- Mentor more junior team members on SQL, modeling best practices, and analytical rigor.
- Partner with a talented group of Data Engineers, Analysts, and Scientists, contributing to and learning from their diverse experience and skills.
Who we´re looking for
- Required Qualifications Bachelor's/ Master's / PhD in Economics, Computer Science, Data Science, Mathematics, Business Informatics, or a related quantitative field. Additional certifications are a plus (CFA, CFI etc.)
- Proven 3+ years of experience in analytics or analytics engineering, ideally in a Finance, Fintech, or commercial context. Exposure to data science is a plus.
- Excellent programming skills in SQL and Python.
- Familiarity with version control (Git).
- Strong experience with at least one major BI/visualization tool: Tableau, Power BI, or equivalent.
- Hands-on experience with dbt and a solid understanding of data warehousing concepts and ETL best practices.
- Previous experience with Paradime is a plus.
- Experience working with modern cloud data warehouses (Redshift etc) is a plus .
- Strong quantitative and analytical reasoning skills.
- Clear written and verbal communication; able to explain technical concepts to non-technical stakeholders.
- Collaborative, team-first mindset.
What we offer
- Discounts on our top-notch products.
- The opportunity to collaborate with multinational teams.
- Exciting events that aren't just team-building exercises but opportunities to create epic memories.
- All the tools you need to grow and take ownership from the beginning.
- Pet-friendly environment, where you can bring your furry desk buddy.
Become an Emmie
We are on a mission to become No.1 in the world of sleep, and we’re looking for driven, ambitious people to help us shape what’s next. If you’re curious, hands-on, and ready to challenge the status quo, you’ll find the space here to make things happen and create real impact.
We are proud to be an equal opportunity employer and are committed to building an inclusive workplace. We celebrate diversity and consider all qualified applicants regardless of race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age.
Our aim is to get back to you within a few days. Due to the high volume of applications, there may be slight delays, but we’ll get back to you as soon as possible.
Employment type
Permanent – Full Time
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Frankfurt
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.