Data Analyst (Growth) (Hybrid or Remote)

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) and basic to intermediate Python skills for analytical work.
• Proven experience building business-facing dashboards in BI tools like Tableau, Power BI, Looker, or Superset, plus hands-on experience with ETL/ELT tools and data pipelines.
• Strong analytical and problem-solving skills with the ability to work closely with business stakeholders (especially Sales and Growth), translate complex data into clear business recommendations, and influence decision-making.
• Excellent communication skills for presenting technical findings to non-technical audiences.

• 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, modern data modelling practices, and data warehouse architecture (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.

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 Mission

• Design and own the Sales data domain within Growth, including building analytical data marts and modeling CRM-based datasets (sales pipelines, conversion funnels, SLA adherence, productivity metrics, and incentive 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 and continuously improve data structures and modeling approaches to better support business needs.
• Contribute to experimentation efforts by helping design and analyze A/B tests and evaluating incremental lift in Sales performance.