Data Analyst

About the job

Position Type : Full time Type Of Hire : Experienced (relevant combo of work and education) Education Desired : Bachelor's Degree As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS? About the role: We are seeking an experienced data scientist who can translate complex data into clear, compelling business stories using advanced machine learning algorithms, Microsoft Power BI, and Microsoft Fabric. This role requires strong business acumen and the ability to convert analytical outcomes into insights that influence executive decision‑making and drive measurable business impact. What you will be doing: · Design, develop, and deploy advanced machine learning models (classification, regression, clustering, time‑series, and ensemble methods) to uncover trends, drivers, and predictive insights from large datasets. · Build scalable ML scripts and analytics pipelines in Python, ensuring model transparency, reproducibility, and business relevance. · Leverage Microsoft Fabric (Lakehouse, Warehouse, pipelines) to enable enterprise‑scale analytics and ML workloads integrated with BI solutions. · Develop Power BI dashboards that go beyond reporting by embedding advanced analytics, ML outputs, and contextual narratives for executive audiences. · Tell a clear story with data—transforming complex analyses into intuitive visuals, narratives, and executive summaries that explain what happened, why it happened, and what actions to take next. · Apply strong business knowledge to frame analytics in the context of operational, financial, and strategic objectives, ensuring insights are actionable and aligned with business priorities. · Communicate insights effectively to technical and non‑technical stakeholders, including senior leadership, through storytelling, presentations, and recommendations. · Ensure responsible use of data and AI, maintaining high standards for data quality, model explainability, and trust. What you bring: · Strong expertise in machine learning, statistical modeling, and advanced analytics. · Proficiency in Python for ML and data analysis (pandas, NumPy, scikit‑learn, etc.). · Hands‑on experience with Power BI, including advanced data modeling, DAX, and executive‑level visual storytelling. · Practical experience with Microsoft Fabric and modern analytics architecture. · Strong data storytelling skills to simplify complexity, highlight insights, and influence decisions through narratives and visuals. · Business acumen with the ability to understand business processes, KPIs, and decision drivers, and connect analytics directly to outcomes. What we offer you: · Opportunity to work on high‑impact, data‑driven initiatives. · Exposure to modern analytics platforms and advanced ML use cases. · A collaborative environment working closely with business and leadership teams. · Strong focus on innovation, learning, and career growth. · Ability to influence strategic decisions through data and analytics.

Requirements

• Machine Learning
• Python
• Power BI
• Data Storytelling
• Business Acumen

Qualifications

• Bachelor's Degree

Preferred Technologies

• Machine Learning
• Python
• Power BI
• Data Storytelling
• Business Acumen

About the company

FIS is a leader in financial technology solutions, providing services that span nearly every market, company, and person. FIS promotes inclusivity and diversity in their teams, helping to shape the world of fintech with their innovative solutions and collaborative environment.