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

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.

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