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IT Data Analyst - Information Technology Specialist 3

  • Roseville, MN, United States

$33.96 to $55.83 USD / hour

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Job details

Pay
$33.96 to $55.83 USD / hour
Posting language
English
Posted

Original job description

Working Title: IT Data Analyst

Job Class: Information Technology Specialist 3

Agency: Minnesota Lottery

  • Job ID : 98379
  • Location : Roseville
  • Telework Eligible : Yes
  • Full/Part Time : Full-Time
  • Regular/Temporary : Unlimited
  • Who May Apply : Open to all qualified job seekers
  • Date Posted : 11/12/2026
  • Closing Date : 11/18/2026
  • Hiring Agency/Seniority Unit : Lottery / Lottery-MAPE
  • Division/Unit : Lottery / Systems Management
  • Work Shift/Work Hours : Day Shift
  • Days of Work : Monday - Friday
  • Travel Required : Yes, up to 15%
  • Salary Range: $33.96 - $55.83 / hourly; $70,908 - $116,573 / annually
  • Classified Status : Classified
  • Bargaining Unit/Union : 214 - MN Association of Professional Employees/MAPE
  • FLSA Status : Nonexempt
  • Designated in Connect 700 Program for Applicants with Disabilities (https://mn.gov/mmb/careers/diverse-workforce/people-with-disabilities/connect700/) : Yes

The work you'll do is more than just a job.

At the State of Minnesota, employees play a critical role in developing policies, providing essential services, and working to improve the well-being and quality of life for all Minnesotans. The State of Minnesota is committed to equity and inclusion, and invests in employees by providing benefits, support resources, and training and development opportunities.

This position requires an employee to be onsite at 2645 Long Lake Rd, Roseville, Minnesota up to 50% of the time, with some opportunity to perform work from a telework location.

The MN Lottery is hiring! We are seeking an IT Data Analyst to help drive our data analytics and reporting initiatives. The ideal candidate will have a proven track record of delivering actionable insights and fostering data-driven decision-making within complex systems and organizations. You will be responsible for supporting strategic reporting projects and initiatives to enhance our data reporting and analytic capabilities.

This role involves configuring reporting platforms, securing data sources, making those sources available on reporting platforms, and building operational and analytical reports. You will support data governance and processes to improve and maintain data quality. Additionally, you will act as a key liaison between business stakeholders, including executives, department heads, operational teams, and technologists such as developers, database administrators, architects, and infrastructure teams.

As the IT Data Analyst, you will train and support business users in using reports, dashboards, and self-service data tools. You will create ad hoc reports and regular datasets or report information for end-users using reporting tools, queries, and scripts.

Main duties include:

  • Administering and managing the Lottery's Data Lakehouse architecture, schema, and integrations while enforcing data governance and quality standards.
  • Serving as the agency-wide BI lead by utilizing Power BI, Tableau, Excel, and SQL.
  • Proactively exploring Lottery data to identify trends, risks, and performance drivers, and bringing those findings to business leaders as executive-level presentations and actionable strategies.
  • Assisting users across the agency with data extraction, custom reporting, correlation, and dashboard utilization.
  • Coordinating with vendors and internal IT staff on data platform enhancements, including requirements, testing, and validation.

Minimum Qualifications

To facilitate proper credit, your resume must clearly describe your experience and skills in the areas listed below and indicate the beginning and ending month and year for each job held.

  • Three years of experience in business intelligence, data analytics, reporting, or data management.
  • Experience analyzing large and complex datasets to identify trends, risks, opportunities, and performance drivers
  • Experience developing reports, dashboards, and analytical solutions with Microsoft Power BI, Tableau or other analytics and visualization platforms.
  • Experience writing SQL queries to extract, join, and transform data from relational databases or data warehouses.
  • Experience using generative AI tools, including agentic AI assistants or coding agents, to perform data analysis, query development, or reporting work.
  • Written and verbal communication skills, including the ability to present complex technical information to non-technical audiences.
  • Ability to communicate effectively with individuals with a wide range of backgrounds, who do not share your same culture, ethnicity, language, or other common experiences.

A master’s degree in information technology, statistics, mathematics, or a related field may substitute for eighteen months of experience, OR a related bachelor’s degree may substitute for one year, OR a related Associate’s substitutes may substitute for six months.

Preferred Qualifications

  • Experience administering or supporting modern data platforms, including Data Lakehouse, data warehouse, or cloud-based analytics environments.
  • Experience independently identifying trends, anomalies, or opportunities in data and presenting them to business leaders without a prior request.
  • Experience working with vendors and managing technology enhancement requests, testing, implementation, and solution validation.
  • Project management experience leading data-related initiatives from planning through implementation.
  • Experience serving as a subject matter expert for organizational reporting, analytics, or business intelligence functions.
  • Experience in a government, public sector, regulated industry, gaming, lottery, or highly audited environment.

Additional Requirements

This position requires successful completion of the following:

The Minnesota State Lottery will conduct a criminal background check and fingerprint check at the time of job offer for all prospective new employees. The Minnesota State Lottery cannot hire any person who's been convicted of a felony or a crime involving fraud or misrepresentation within five years of employment or who's ever been convicted of a gambling-related offense.

In addition, the Minnesota State Lottery will perform the following background checks:

  • Employment Reference Checks (includes review of personnel file for current and former State of Minnesota employees)
  • SEMA4 Records Check (for current and former State of Minnesota employees)
  • Driver's License Records Verification.

How to Apply

Select “Apply for Job” at the top of this page. If you have questions about applying for jobs, contact the job information line at 651-259-3637 or email careers@state.mn.us. For additional information about the application process, go to http://www.mn.gov/careers.

AN EQUAL OPPORTUNITY EMPLOYER

Minnesota State Colleges and Universities is an Equal Opportunity employer/educator committed to the principles of diversity. We prohibit discrimination against qualified individuals based on their race, sex, color, creed, religion, age, national origin, disability, protected veteran status, marital status, status with regard to public assistance, sexual orientation, gender identity, gender expression, or membership in a local commission as defined by law. As an affirmative action employer, we actively seek and encourage applications from women, minorities, persons with disabilities, and individuals with protected veteran status.

Reasonable accommodations will be made to all qualified applicants with disabilities. If you are an individual with a disability who needs assistance or cannot access the online job application system, please contact the job information line at 651-259-3637 or email careers@state.mn.us . Please indicate what assistance is needed.

More about this job

Skills

  • Computer technology
  • Decision making
  • Microsoft Power BI
  • Tableau
  • Microsoft Excel
  • SQL
  • Presentation skills
  • Reporting
  • Business intelligence
  • Data analysis
  • Data management
  • Communication skills
  • Statistics
  • Data warehouse
  • Project management

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