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What are the key skills and qualifications needed to thrive as a Temporary Metadata Analyst, and why are they important?

To excel as a Temporary Metadata Analyst, you typically need a background in information science, data management, or library science, along with experience in metadata standards and schema. Familiarity with metadata management tools, cataloging systems, and data entry software is important, as well as knowledge of standards like Dublin Core or MARC. Attention to detail, analytical thinking, and strong organizational skills help set candidates apart in this role. These competencies ensure accurate data organization, efficient retrieval, and support the quality of digital asset management processes.

What are some common challenges faced by Temporary Metadata Analysts and how can they be addressed?

Temporary Metadata Analysts often encounter challenges such as quickly familiarizing themselves with complex data management systems and adhering to strict project deadlines. Since the role is contract-based, analysts must rapidly adapt to new workflows and organizational standards, which may differ from previous experiences. Collaboration with permanent team members and clear communication can help overcome these challenges, as well as proactively seeking clarification on metadata standards and documentation early in the assignment.

What are Temporary Metadata Analysts?

Temporary Metadata Analysts are professionals hired for a limited period to organize, manage, and improve metadata within an organization’s information systems. They typically work on short-term projects that involve cataloging, tagging, and ensuring the accuracy of data descriptors to facilitate easier data retrieval and compliance. This role is crucial in libraries, archives, museums, and digital content companies where data organization is essential. Temporary positions may last from a few weeks to several months, depending on the scope of the project.
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Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Data Analyst / Business Intelligence (BI) Support Specialist - Temporary - Hybrid Remote

Hoosier Energy

Bloomington, IN • On-site, Remote

Full-time

Posted 23 days ago

Job description

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.

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