Business Intelligence Developer

5 days ago

Madison, Wisconsin, United States State of Wisconsin Investment Board Full time
Job Title: Business Intelligence Developer

We are seeking a highly skilled Business Intelligence Developer to join our team at the State of Wisconsin Investment Board (SWIB). With a focus on data-driven decision-making, we are a premier global investment organization dedicated to providing a strong financial future to those who committed their careers to public service.

About Us:

The Data Services & Engineering Teams at SWIB supports, implements and develops industry-leading systems and platforms to support our diverse and complex set of investment portfolios and strategies. We are a collaborative environment with a focus on innovation and data analysis.

Position Overview:

The ideal candidate will enable data-driven decision-making through innovative analytical solutions and models, convey complex data concepts to technical and non-technical stakeholders, and utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.

Responsibilities:
  • Enable data-driven decision-making through innovative analytical solutions and models.
  • Convey complex data concepts to technical and non-technical stakeholders.
  • Utilize programming languages such as Python and SQL for data manipulation, analysis, and model development.
  • Act as a liaison between investment personnel and the supporting infrastructure regarding business process change management (IT, Operations, Legal, HR, Strategic Planning, etc.)
  • Implements data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Develop and deploy models, utilizing techniques such as regression, classification, and clustering.
  • Create interactive visualizations (e.g. Power BI, Streamlit) to effectively communicate data findings.
  • Deploy data solutions in cloud environments (e.g. Azure, AWS).
  • Utilize data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
Requirements:
  • Bachelor's degree or advanced degree in finance, business, engineering, computer science, computational economics, math, data science or a related program.
  • 3+ years of experience with data science, data analytics, investment analysis, or similar.
  • Proactively drives data-driven decision-making through innovative analytical solutions and models.
  • Exceptional verbal and written communication skills, adept at conveying complex data concepts to technical and non-technical stakeholders.
  • Proficient in programming languages such as Python, SQL, or R for data manipulation, analysis, and model development.
  • Experience implementing data quality frameworks and conducting data validation ensuring accuracy of analysis.
  • Skilled in developing and deploying machine learning models, utilizing techniques such as regression, classification, and clustering.
  • Knowledge of cloud platforms (e.g. Azure, AWS) for data storage and processing, with experience in deploying data solutions in cloud environments.
  • Experience with data warehousing technologies and platforms (e.g. Snowflake) to support analytics initiatives.
  • Experience deploying reports utilizing automated processes Continuous Integration and Continuous Deployment techniques (CICD).
  • Experience implementing testing tools and data quality metrics/processes to ensure overall data quality of reports that are supported and developed.
  • Superb work ethic, attention to detail, team orientation, collaborative disposition, and commitment to excellence.
  • Interest or experience in investment management, quantitative finance and technology. Progress toward or completion of the CFA designation is preferred.
  • Ability to follow rigor in creating/updating documentation, maintain process (i.e. JIRA tickets) and following technology and business best practices.
What We Offer:
  • A competitive salary range of $110,000 - $140,000 per year.
  • A comprehensive benefits package.
  • Educational and training opportunities.
  • Tuition reimbursement.
  • A hybrid work environment.
Pursuant to our Hybrid Remote Work Policy, all staff have the flexibility to work remotely but are required to have a weekly presence in our offices, the frequency of which is dependent on their distance from office.

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