Analytics Engineer (Growth)

Vivid Money; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A growing FinTech company in Berlin is seeking an experienced Analytics Engineer to join their Growth team. The role focuses on the Sales domain, including building and maintaining dashboards, analyzing CRM data, and working closely with Product Managers to identify growth opportunities. Candidates should have over 3 years of analytics experience, advanced SQL skills, and a passion for data-driven decision-making. This position offers a hybrid work model, competitive salary, and significant growth prospects.

Leistungen

Competitive salary

Relocation support

Real growth prospects

Qualifikationen

• 3+ years of experience in an analytics or data role.
• Proven experience building and owning business-facing dashboards.
• Ability to work closely with business stakeholders and turn complex data into recommendations.

Aufgaben

• Design and own the Sales data domain including analytical datasets.
• Work with CRM data to model sales pipelines and productivity metrics.
• Build and maintain business-facing dashboards ensuring accurate metrics.

Kenntnisse

SQL

Analytical skills

Dashboard building

Data modeling

Business analysis

Python

Communication skills

Tools

Tableau

Power BI

Salesforce

HubSpot

Jobbeschreibung

About Vivid

At Vivid, we're reimagining how individuals and businesses manage money. Our all-in-one app opens up a world of financial possibilities: manage your day-to-day payments, invest in global stocks, ETFs, and over 150 cryptocurrencies, earn cashback on everyday purchases, and access personalized insights to make the most of your finances - all tailored to your lifestyle.

For businesses, Vivid Business offers a powerful suite of tools, including multi-IBAN accounts, high-interest rates, business cashback, team cards, and seamless accounting integrations to streamline operations. Our mission? Your success. Everyone deserves the chance to see their finances flourish, and we’re dedicated to empowering our customers to make this a reality.

Since our 2020 launch in Germany, Vivid has rapidly expanded across Europe, earning the trust of over 500,000 customers looking for a simpler, smarter way to grow their wealth. To localize our services we are opening branches across Europe for our customers being able to enjoy using local IBANs.

With over €200 million raised from top investors and a valuation of €775 million, Vivid is where modern finance meets real opportunity. Join us and experience a new way to thrive financially.

Your Profile

• 3+ years of experience in an analytics or data role (Analytics Engineer, Data/Product Analyst, or similar).
• Advanced SQL skills (e.g. CTEs, window functions, complex joins).
• Strong analytical and problem-solving skills, with the ability to translate complex data into clear business recommendations.
• Proven experience building and owning business-facing dashboards in BI tools like Tableau, Power BI, Looker, Superset or similar.
• Hands‑on experience with ETL/ELT tools and data pipelines, ensuring reliable analytical datasets.
• Ability to work closely with business stakeholders (especially Sales and Growth) and turn ambiguous questions into structured analyses.
• Basic to intermediate Python skills for analytical or data platform work.
• Strong communication skills – able to present technical findings to non-technical audiences and influence decision-making.

Nice to Have

• Experience in Growth, Go-To-Market, Sales Analytics, or revenue-related domains.
• Hands‑on experience with CRM data (e.g., Salesforce, HubSpot) – modelling, analysis, and business reporting.
• Familiarity with dbt and modern data modelling practices.
• Understanding of data warehouse architecture and layering approaches (staging, intermediate, mart layers).

Why Join Vivid?

• We have a hybrid model in one of our offices, Berlin, Limassol, or Almaty, or fully remote outside office locations.
• We support relocation to Cyprus (visa, package) when needed.
• This is a senior‑level position with a competitive salary and benefits package (depending on location).
• Real growth prospects, significant responsibility, and the ability to make an immediate impact from day one.

Enhance your expertise and shape the future of FinTech. Join Vivid's talented team and help us revolutionize how people think about their money!

About The Role

We are looking for an Analytics Engineer to join our Growth team, focused on the Sales domain, including field sales, outbound sales, and telesales.

In this role, you will work closely with Product Managers, Sales stakeholders, and the wider Growth team to generate insights and recommendations that help improve business outcomes. A key part of the role is working with data from CRM systems, ensuring it is well‑modeled, reliable, and effectively used for analytics and business decision‑making. Your analytical input will be essential in shaping how growth initiatives are measured, evaluated, and optimized.

This is a hands‑on role that combines business‑focused analytics, dashboard ownership, and work with data pipelines. It's well‑suited for an experienced Analytics Engineer who wants to stay close to the business while maintaining strong ownership of data and metrics.

Your Mission

• Design and own the Sales data domain within Growth, including building and maintaining analytical data marts and CRM‑based datasets for reporting and decision‑making.
• Work extensively with CRM data to model sales pipelines, conversion funnels, SLA adherence, productivity metrics, and incentive‑related logic.
• Partner closely with the Product Manager to identify growth opportunities in Sales performance, uncover bottlenecks, and recommend data‑driven improvements to processes and strategy.
• Analyze Sales effectiveness across field sales, outbound, and telesales, identifying areas for optimization and scalable growth.
• Build and maintain business‑facing dashboards (Tableau) and ensure that core Sales and Growth metrics are clearly defined, reliable, and consistently used across teams.
• Take ownership of data quality within the Sales domain, ensuring high accuracy and trust in reported metrics.
• Automate recurring analyses and reporting workflows to reduce manual effort and improve scalability.
• Contribute to experimentation efforts by helping design and analyze A/B tests and evaluating incremental lift in Sales performance.
• Continuously improve data structures and modeling approaches