Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities<br>Create and document routine processes around data (mining, dictionary, etc.)<br>Completes the gathering and cleaning processes for data from various sources, ensuring data quality and integrity<br>Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions<br>Uses statistical methods and techniques to help identify patterns, trends, correclations and anomalies of bank data<br>Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams<br>Lead the strategic design and maintenance of intelligence systems, reporting platforms, and other enhancements required to gather and analyze bank and portfolio data<br>Collaborate with other data engineers and IT professionals to optimize data collection, storage, and retrieval processes<br>Helps identify KPIs and develops metrics to track and measure bank performance<br>Maintains current knowledge of internal risk controls and loss prevention, including reporting of suspicious or unusual customer activity per Bank policy, and ensures adherence by the respective department personnel<br>Maintains current knowledge and complies with all federal and state laws and regulations and all established Bank policies and procedures, including internal audit controls related to department operations, and ensures adherence by the respective department personnel<br>Maintains current knowledge of all rules, regulations, and laws as they apply to BSA/OFAC/USA Patriot Act/CIP/AML, and ensures adherence by the respective department personnel<br>Qualifications<br>QUALIFICATIONS<br><br>These specifications are general guidelines based on the minimum experience normally considered essential to the satisfactory performance of this position. The requirements listed below are representative of the knowledge, skill and/or ability required to perform the position in a satisfactory manner. Individual abilities may result in some deviation from these guidelines.<br><br>• Bachelor’s degree from an accredited college or university in computer science, statistics, or data management<br>• Minimum of 5 years of experience in an analytical role including querying relational databases and advanced reporting methodologies<br>• Able to articulate complex concepts while tailoring the message to different audiences including senior leadership, technical teams, and member support teams<br>• Strong problem solving and ability to resolve complex issues with minimal direction<br>• Ability to leverage key performance metrics and data to provide insights and make strategic business recommendations<br>• Proficiency with SQL, Python and visual reporting tools (such as MS Power BI or Tableau)<br>• Some Knowledge of financial institution regulations including Reg Z, Reg. B, Truth in Lending, FCRA, FACTA and MLA<br>• Excellent verbal and written communication skills; able to express ideas concisely and logically<br>• Ability to meet deadlines, work in a fast-paced environment, and perform a variety of tasks with numerous interruptions<br>• Advanced knowledge of Microsoft Office Suite<br>• Ability to sit in front of a computer screen for long periods of time, which may cause visual strain<br>• Bilingual in English and Spanish is desired
<p><br></p><p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a Sr. Business Intelligence Developer<strong> (contract).</strong> In this role you will be responsible for developing enterprise-grade analytics solutions, mentoring junior team members, and partnering closely with business stakeholders to deliver strategic reporting aligned with corporate goals. You will drive the modernization of BI practices, influence data architecture decisions, and be a key contributor in advancing the company’s analytical maturity toward predictive and prescriptive analytics. <strong>This role is on-site in Austin, Tx. You must currently live in Texas.</strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead the design and implementation of scalable, maintainable BI solutions using modern tools such as Tableau, Power BI, and Looker to enable data-driven decision-making across the enterprise. </li><li>Partner with data engineering and governance teams to ensure high data quality, security, and stewardship standards are embedded into all reporting solutions. </li><li>Serve as a strategic analytics partner to business leaders across departments, translating complex business needs into effective metrics, KPIs, and actionable dashboards. </li><li>Mentor entry-level BI developers, conduct code reviews, and promote best practices in dashboard design, performance optimization, and data storytelling. </li><li>Apply advanced analytical logic, including window functions, LOD expressions, dynamic date aggregations, and time-series analysis to meet business reporting requirements. </li><li>Architect and optimize certified datasets and semantic layers to promote consistent self-service analytics across teams. </li><li>Contribute to strategic tool evaluations and drive the adoption of embedded analytics, AI-assisted insights, and natural language querying capabilities. </li><li>Champion data literacy initiatives and support the business's self-sufficiency with data tools and insights. </li><li>Participate actively in the full development lifecycle of BI products, including requirements gathering, design, development, testing, deployment, and documentation. </li><li>Lead or contribute to establishing BI standards and governance processes across the analytics stack. </li></ul><p><br></p>
