Data Analyst / BI Developer SQL / Python / Databricks / Power BI

Our client is a global leader in financial technology and payments, moving money and information in ways that power the world's financial ecosystem. They connect financial institutions, corporations, merchants, and consumers millions of times a day - quickly, reliably, and securely. The Frisco, TX office is a key technology and analytics hub supporting Banking Solutions, Client Experience, and Enterprise Data & Analytics functions across North America., This position supports the Banking Solutions Client Experience Data & Analytics team, covering key initiatives including Critical Implementations - Demand, Capacity and Utilization reporting and dashboards, Master AI dashboards, Operations Support Trends and Ticket Resolution reporting, and Data & Analytics backlog and support requests for senior leadership. The ideal candidate combines strong analytical thinking, BI development expertise, and hands-on data engineering skills with a fintech or financial services background. A coding test will be administered as part of the in-person interview process. KEY RESPONSIBILITIES Interact with stakeholders and users to define business requirements and necessary system modifications and convert business requirements into executable code solutions Design, implement, and maintain Power BI reports and dashboards and develop reports using Power BI Data Analysis Expressions (DAX), SQL, and data lakes Write advanced DAX measures, calculated columns, complex KPIs, and row-level security rules within Power BI semantic models Build, transform, and analyze large-scale datasets in Databricks using PySpark and Python for data exploration, cleansing, and pipeline development Develop Python scripts and notebooks in Databricks for data automation, transformation, statistical analysis, and ad-hoc analytics Develop, maintain, and enhance Power BI reports and dashboards to provide actionable insights that drive business outcomes and improve operational efficiency Partner with stakeholders to surface trends, enable data-driven decisions, and scale reporting solutions across the organization Write complex SQL queries for data extraction, joins, window functions, and query optimization across large enterprise datasets Design and maintain dimensional data models, star schemas, and BI semantic layers to support enterprise reporting and self-service analytics Monitor pipeline and dashboard health, troubleshoot data issues, and implement data quality checks and validation rules Collaborate with data engineers, platform architects, and business stakeholders to ensure accurate, governed, and timely data delivery Automate recurring reports and analytics workflows to reduce manual effort and increase self-service capability across teams Evaluate and identify new technologies for implementation and write well-designed, testable, and efficient code ensuring designs follow specifications Develop and maintain technical documentation including data dictionaries, report catalogs, and dashboard user guides Present analytical findings and dashboard insights clearly to both technical and non-technical senior leadership audiences

Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, or related field 5+ years of hands-on experience in Data Analytics and BI Development in an enterprise environment Strong proficiency in SQL - complex querying, joins, subqueries, window functions, stored procedures, and query performance tuning Hands-on Power BI development experience including Power Query (M), DAX formulas, calculated measures, data modeling, row-level security, and report publishing Proficiency in Python for data analysis, automation, and scripting - including pandas, NumPy, and data manipulation libraries Hands-on experience with Databricks - including notebooks, PySpark, Delta Lake, and large-scale data transformation workflows Experience in data modeling and dimensional modeling for analytics and BI semantic layers Strong understanding of data warehousing concepts - star schema, snowflake schema, and data mart design Experience in financial services, payments, banking, or regulatory reporting environments Excellent communication skills - able to translate complex data findings into clear, actionable insights for business stakeholders and senior leadership PREFERRED QUALIFICATIONS Experience with Azure cloud services including Azure Data Factory, Azure Synapse Analytics, or Microsoft Fabric alongside Databricks Familiarity with Git-based version control and CI/CD practices for BI artifacts and data pipelines Experience with additional visualization tools such as Tableau in multi-tool BI environments Exposure to Agile/Scrum delivery methodology and sprint-based analytics development Knowledge of financial services data domains - payments, transactions, risk, compliance, or client operations Microsoft Certified: Data Analyst Associate (Power BI) certification is a strong plus

INTERVIEW PROCESS

Stage 1: In-Person Interview at Frisco, TX office Stage 2: Hands-on Coding Test - SQL, Python, and Power BI DAX will be assessed Note: Candidates must be prepared to demonstrate live coding ability during the in-person interview