Business Intelligence Developer

Requirements:

• Prior contract experience is required; independent contractors and agency-placed candidates are preferred.
• Financial services experience is required, with direct knowledge of indirect lending, mortgage, deposit-to-lending financial modeling, or community banking operations.
• Bachelors degree in Business, Computer Science, Data Analytics, Data Science, MIS, Statistics, or a related discipline; a masters degree in a data-related field is preferred.
• Five to ten years of analytics, business intelligence, or data engineering experience in financial services or another complex enterprise environment.
• Expert-level SQL skills, including advanced optimization, stored procedures, and performance tuning.
• Mastery of Power BI, including data modeling, DAX, semantic models, and enterprise design patterns.
• Proficiency in Python for data wrangling and analytics.
• Strong knowledge of data visualization practices and user-centered dashboard design.
• Experience with Azure Databricks, Azure Data Lake, SQL Server, and hybrid cloud data environments.
• Demonstrated success delivering analytics solutions that inform executive decisions and achieve measurable business outcomes.
• Clear communication skills, including the ability to explain complex data concepts to non-technical stakeholders.
• Strong project and time management skills, with the ability to independently manage multiple time-sensitive initiatives.
• A track record of supporting data culture transformation initiatives.
• A client-centered approach to working with line-of-business stakeholders.
• Preferred: Microsoft Fabric experience.
• Preferred: Knowledge of banking core systems such as Signature, MeridianLink, Encompass, Executrax MCIF, Salesforce, or similar platforms.
• Preferred: Agile project delivery experience.
• Preferred: Ability to guide business partners through data-driven transformation.
• Candidates must be located in the United States and authorized to work there; visa sponsorship is not available, and C2C arrangements are not accepted.

Responsibilities:

• Lead large analytics initiatives from planning through completion, providing peer leadership, collaborating across teams, building stakeholder consensus, and implementing practical solutions.
• Manage the full analytics delivery lifecycle, including requirements, architecture, development, testing, deployment, and enhancements.
• Build and maintain data models, dashboards, reports, automation solutions, and performance metrics to support business decisions.
• Evaluate data and technology trends and advise business partners on emerging opportunities.
• Design analytics solutions with appropriate controls to ensure data accuracy, quality, and consistent reporting in line with policies and standards.
• Promote development standards and best practices across SQL, Python, Power BI, and Databricks.
• Present analytical findings, KPI insights, and recommendations to senior leaders.
• Create consistent dashboard, reporting, and analytics experiences for business users.
• Gather stakeholder requirements and translate business needs into BI solutions and data models that turn raw data into useful insights.
• Convert unclear business challenges into structured analytical problems and actionable reporting solutions.
• Work with business users to identify requirements and data sources, then transform data with SQL and Python for Power BI dashboards and downstream systems.
• Partner with Data Engineering and Cloud teams to define and improve ETL/ELT pipelines, Azure Databricks transformations, and SQL Server structures.
• Conduct exploratory, ad hoc, and qualitative analyses to identify trends, customer behaviors, operational opportunities, system issues, and one-off reporting needs.
• Develop tailored calculations and business intelligence solutions to improve performance visibility and decision-making.
• Assess emerging tools, capabilities, and data platforms to inform technology direction.
• Mentor junior developers and analysts and help advance the analytics practice.
• Encourage enterprise-wide data-driven decision-making and support data culture transformation initiatives.

Technologies:

• Azure
• Business Intelligence
• Cloud
• Databricks
• DAX
• ETL
• Fabric
• Support
• Power BI
• Python
• SQL
• Salesforce

More

Were recruiting a Senior Data Analytics Developer for our client, a leading Midwest-headquartered commercial bank, to join its Community Banking Data Office. The bank combines the stability of a major regional institution with the culture and relationships of a community bank, and its analytics team tackles complex business challenges to improve performance and customer experience. This is a high-autonomy onsite contract role for candidates in the clients Milwaukee, Chicago, Nashville, Evansville, or Minneapolis locations. Work is on demand and ongoing, depending on assigned client workload, with an immediate start targeted before December 2026. Compensation is $65–$80 per hour, depending on experience, paid weekly as a W2 employee of Talimer. Technology is provided. Talimer talent working at least 30 hours per week for 30 consecutive business days is eligible to enroll in a 401(k) plan after 90 days. Talimer also offers a signing bonus for successful candidate referrals.

last updated 43 week of 2026