Senior Data Analytics Developer for Krux, building data infrastructure for innovative SaaS solutions in mining industry. Collaborating with a self - motivated team to drive company growth.
About the role
- Analytics Engineer joining Growth team to work closely with Sales stakeholders for data-driven insights. Focusing on CRM data modeling and ownership of sales metrics and analytics.
Responsibilities
- 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 (e.g. measuring the impact of inbound and telesales initiatives)
- Continuously improve data structures and modeling approaches to better support business needs
Requirements
- 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
Benefits
- Hybrid model in one of our offices or fully remote outside office locations
- Support for relocation to Cyprus (visa, package) when needed
- Competitive salary and benefits package
Job title
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