Senior Manager for Payments Data Analytics at FIS analyzing revenue opportunities and presenting insights. Collaborating with technology and data teams to enhance financial services.
About the role
- Data Analyst at MIC Global transforming data into actionable insights for strategic decisions. Collaborate with cross-functional teams to analyze trends and build scalable dashboards.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and insights that support business and product decisions.
- Partner with Product, Operations, and Finance teams to generate actionable intelligence on customer behavior, product performance, and risk modeling.
- Contribute to the development of pricing models, ensuring accuracy and commercial relevance.
- Deliver clear, concise data stories and visualizations that drive executive and operational understanding.
- Collaborate with Data Engineers to design, implement, and maintain reliable data pipelines and ETL workflows.
- Write clean, efficient scripts in Python for data cleaning, transformation, and automation.
- Ensure data quality, integrity, and accessibility across multiple systems and environments.
- Work with Azure data services to store, process, and manage large datasets efficiently.
- Develop, maintain, and optimize dashboards and reports using Power BI (or similar tools).
- Automate data refreshes and streamline reporting processes for cross-functional teams.
- Track and communicate key business metrics, providing proactive recommendations.
- Collaborate with engineers, product managers, and business leads to align analytical outputs with company goals.
- Support the adoption of modern data tools and agentic AI frameworks to improve insight generation and automation.
- Continuously identify opportunities to enhance data-driven decision-making across the organization.
Requirements
- 6+ years of relevant experience in data analysis or business intelligence, ideally within product-based SaaS, fintech, or insurance environments.
- Proven expertise in SQL for data querying, manipulation, and optimization.
- Hands-on experience with Python for data analytics, automation, and scripting.
- Strong proficiency in Power BI, Tableau, or equivalent BI tools.
- Experience working in Azure or other cloud-based data ecosystems.
- Solid understanding of data modeling, ETL processes, and data governance.
- Ability to translate business questions into technical analysis and communicate findings effectively.
Benefits
- 33 days of paid holiday
- Competitive compensation well above market average
- Work in a high-growth, high-impact environment with passionate, talented peers
- Clear path for personal growth and leadership development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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