Design and maintain Power BI dashboards and data models, track product KPIs, run cohort/funnel/retention analyses, support A/B tests and product launches, investigate fraud via data, liaise with stakeholders, and ensure data quality with engineers while recommending process improvements.
Join FxPro: a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro, we see each team member as an integral part of our success story.
We are looking for a BI Analyst with strong Power BI skills and experience in product analytics and fraud detection. You will design and maintain dashboards, monitoring tools, and analytical solutions that help measure product performance, make data-driven decisions and help the team spot suspicious patterns in user activity.
Responsibilities:
- Build and maintain Power BI dashboards, data models, and DAX measures
- Track product KPIs: acquisition, activation, retention, engagement, conversion, churn, LTV, and revenue
- Perform ad-hoc analysis to support product launches, A/B tests, feature adoption, and user funnel optimization.
- Conduct cohort, funnel, retention, and segmentation analysis.
- Help investigate fraud and abuse cases through data analysis - spot suspicious patterns and anomalies in user behaviour
- Talk to stakeholders (finance, operations, product) to understand what they need and turn that into analytics solutions
- Prepare and deliver reports to stakeholders, clearly summarizing key findings and offering data-driven recommendations to enhance processes and overall business performance
- Work with data engineers to make sure data from source systems is accurate and well-organized
- Spot inefficiencies in processes and suggest improvements
Requirements
- Bachelor’s or Master’s degree in Mathematics, Statistics, Economics, Computer Science, or a related field
- Proven experience in data analysis and statistical modeling
- Proficiency in SQL (at least at a basic level)
- Hands-on experience with Power BI at a Data Analyst level, including ETL processes, DAX and M language, data modelling, creating effective data visualizations and dashboards
- Comfortable with core product metrics: DAU/MAU/WAU, retention curves, conversion funnels, activation, churn, ARPU/ARPPU, LTV, CAC.
- Familiarity with A/B testing - how to design tests and read results
- Awareness of common fraud / abuse patterns: multi-accounting, bonus abuse, fake registrations, scripted/bot activity, payment-related anomalies.
Nice to Have:
- Python or R for ad-hoc analysis, automation, or basic anomaly detection.
- Exposure to behavioral analytics, anomaly detection, or basic ML concepts.
Soft Skills:
- Can explain complex data in simple terms to non-technical audiences
- Collaborative - comfortable working across different teams
- Detail-oriented and takes data quality seriously
- Proactive in finding problems and suggesting solutions
Similar Jobs
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Manages strategic, transformational, and cross-functional projects from planning through go-live. Responsibilities include coordinating teams and vendors, managing budgets, timelines, quality, testing, resources, risks, reporting, governance, and operational readiness. The role also mentors project managers, leads stakeholder meetings, and drives consistent project delivery across multiple regions.
Top Skills:
MS Office
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead quality assurance for medical devices and combination products across development and sustaining lifecycles. Provide risk-based design control and quality system oversight, review complaint investigations, support post‑market activities, partner with cross‑functional teams, and drive process improvements to ensure regulatory compliance and patient safety.
Top Skills:
21 Cfr 82021 Cfr Part 4GmpIso 13485Iso 14971
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Manages archiving completeness and transport-document compliance for global pharmaceutical logistics shipments. Designs and improves compliance processes, oversees outsourced service providers, coordinates issue resolution, tracks KPIs, and leads stakeholder forums and continuous-improvement initiatives. Partners with Digital, Quality, Indirect Tax, Transportation, and external providers to recover documentation gaps and ensure compliance with EU GDP/GMP and applicable local regulations, including FDA and Japanese requirements. Promotes automation, AI-enabled tools, risk management, and adherence to SOPs and work instructions.
Top Skills:
Artificial Intelligence (Ai)Erp SystemsEu Gdp/GmpFda RegulationsHpra RegulationsImexExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft VisioMicrosoft WordOpentextSAPSix Sigma
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
