Hoosier Energy
Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote
The role involves developing BI solutions, managing data processing pipelines, providing application support, and ensuring data governance and compliance.
Position Overview
The Data Analyst / Business Intelligence (BI) Support Specialist - Temporary is responsible for the design, development, implementation, and support of enterprise Business Intelligence (BI) solutions. This position ensures data integrity, security, and performance across BI platforms and provides application support to business units.
Essential Duties and Responsibilities
- Develop and maintain BI solutions utilizing Microsoft Fabric, Power BI, and Azure Data Services.
- Design and implement data models, ETL/ELT pipelines, and visualization dashboards.
- Build and optimize Power BI reports, dashboards, and paginated reports.
- Manage Azure Synapse, Data Factory, Data Lake, and Fabric Data Warehouse for data processing and transformation.
- Write and optimize T-SQL queries, stored procedures, and indexing in SQL Server (2019+).
- Provide Level 2/3 support for custom SQL-driven applications, including troubleshooting and user support.
- Maintain the Alation data catalog, ensuring metadata accuracy and compliance with governance standards.
- Ensure data governance, security, and compliance, including role-based access control (RBAC) and row-level security (RLS).
- Collaborate with business stakeholders, developers, and analysts to translate requirements into BI solutions.
- Monitor BI system performance and implement improvements for reliability and availability.
- Work with IT Applications and IT Infrastructure teams to implement CI/CD pipelines for BI deployments.
- Mentor BI team members and promote best practices in analytics development.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent experience.
- Minimum of 3 years’ experience in Business Intelligence, Data Analytics, or Data Warehousing.
- Experience with Microsoft Fabric, Power BI, and Azure Data Services (Data Factory, Synapse, Data Lake, Dataverse).
- Advanced proficiency in SQL Server (T-SQL, query optimization, indexing).
- Proficiency in DAX, Power Query (M language), and Power BI development.
- Experience with data modeling techniques (Star Schema, Snowflake) and performance optimization.
- Experience designing and implementing ETL/ELT pipelines for structured and unstructured data.
- Familiarity with RBAC, RLS, and compliance best practices.
- Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
- Experience with Azure SQL, DevOps for BI deployments, or Python for data preparation.
- Familiarity with ITIL and/or ITSM ticketing systems.
- Ability to present insights to non-technical audiences.
Working Conditions
- Office environment, Bloomington, IN.
- Occasional travel may be required.
- Standard work hours with flexibility for project deadlines.
This full time position is temporary; however, it is expected to potentially have a duration of indefinite. The incumbent will be employed through Express Employment.
Hoosier Energy is an Equal Opportunity Employer and prohibits discrimination on the basis of race, color, religion, national origin, sex (including pregnancy and gender identity), sexual orientation, age, ancestry, genetic information, disability, veteran status or any other characteristic protected by federal, state or local laws.
Equal Opportunity EmployerThis employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Top Skills
Azure Data Services
Azure Synapse
Data Factory
Data Lake
Dax
Microsoft Fabric
Power BI
Power Query
SQL Server
T-Sql
Similar Jobs
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
The role involves developing and optimizing web applications for 3D graphics in a dental tech environment, requiring collaboration on frontend and backend integrations and ensuring high performance and quality standards.
Top Skills:
C++Google Cloud PlatformGraphQLNestjsNode.jsPostgresReactThree.JsTypescriptWasm
eCommerce • Edtech • Healthtech • Insurance • Mobile • Real Estate • Software
The Marketing Strategy & AI Operations Lead drives strategic marketing initiatives, enhances execution efficiency through AI, and collaborates with various teams to boost revenue growth and business impact.
Top Skills:
Ai ToolsMarketing Analytics Platforms
Cloud • Fintech • Food • Information Technology • Software • Hospitality
As a Senior Backend Engineer, you will design and maintain scalable backend systems, implement integrations, and ensure system stability, focusing on revenue optimization and automation.
Top Skills:
Ci/CdJavaJSONKotlinRestSalesforceSQLXMLZuora
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
