Data Analyst (Business Intelligence, Python, Machine Learning, Power BI)

Overview

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
  
  

• 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
  
  

• 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
  
  

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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