Title: Sr. Data Analyst / BI Developer
Location: Frisco, TX (Hybrid)
Job Description:
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 analytic
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 analytis
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 deliver
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
REQUIRED QUALIFICATIONS
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
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