Data Solutions Analyst Jobs
Data Solutions Analyst jobs are open across financial services, healthcare, technology, and retail, from entry-level to senior and lead, with specializations in business intelligence, data integration, and analytics reporting. See the openings below and apply to the ones that match your experience.
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Schedule:
Monday - Friday (40 hrs/wk)
8:00 AM - 5:00 PM
Department: IT Business Software Dev - 222
Primary Purpose:
Responsible for creating, supporting, and maintaining IT data solutions that utilize rapid development tools. Participates in performing data analysis, data visualization, reporting, and information capture to support data utilization and data-driven decision making. Relies on instruction and guidance from senior team members, leads, and supervisors.
About ARUP:
ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and an enterprise of the University of Utah and its Department of Pathology. Based in Salt Lake City, Utah.
ARUP proudly hires top talent to create a work environment of diversity, professional growth and continuous development. Our workforce is committed to the important service we provide to over one million patients each month. We always strive for excellence and have a strong desire to have involvement with the advances in medicine and the role laboratory services plays within each patient’s life. We never forget that there is a patient behind every specimen we receive.
We are looking for individuals who want to contribute to ARUP's culture of accountability, integrity, service, and excellence. Consider joining our dynamic team.
Essential Functions:
Collaborate with stakeholders to understand needs and develop functional requirements specifications.
Assist in the design, development, and testing of solutions that capture or communicate information.
Analyze and map relevant business processes and IT infrastructure.
Research rules that might impact solution delivery, such as compliance, data governance, or organizational standards.
Evaluate the performance and effectiveness of solutions and identify areas for improvement.
Create and maintain data visualizations and dashboards to communicate insights to stakeholders.
Identify and address data quality issues and anomalies in a timely manner.
Maintain documentation on reports, processes, and solutions.
Participate in the validation of reports created by other developers.
Participate in the enterprise report development group.
Utilize training on data collection, utilization, and visualization best practices.
Collaborate with team members and provide backup support for other projects.
Assist in efforts to evaluate, select, and implement processes, data solutions tools, and components.
Maintain confidentiality of information according to ARUP policies.
Other duties as assigned.
Physical and Other Requirements:
Stooping: Bending body downward and forward by bending spine at the waist.
Reaching: Extending hand(s) and arm(s) in any direction.
Mobility: The person in this position needs to occasionally move between work sites and inside the office to access file cabinets, office machinery, etc.
Communicate: Frequently and effectively communicate with others.
PPE: Biohazard laboratory environment that requires use of personal protective equipment in accordance with CDC and OSHA regulations and company policies.
ARUP Policies and Procedures: To conduct self in compliance with all ARUP Policies and Procedures.
Sedentary Work: Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects.
Fine Motor Control: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand as in handling.
Vision: Having close, far, and peripheral visual acuity to perform a variety of tasks such as make general observations of depth and distance.
Continuing Education: Continual assessment of current literature and best practices.
Experience
Required- Associate’s degree in a related field such as: Information Systems, Computer Science, Engineering, Statistics, or Mathematics, or equivalent combination of education and experience
- Bachelor’s degree in a related field such as: Information Systems, Computer Science, Engineering, Statistics, or Mathematics, or equivalent combination of education and experience
- Certification in SQL, Data Management
- 6 months experience with data solutions tools such as: reporting, dashboard development, form development, data integration
- 6 months experience with SQL
- 6 months experience with MS SQL Server or equivalent server-based data platform
- 6 months experience with scripting and programming languages
Education
Required- Associates Degree or better in Computer Information Systems
- Bachelor's Degree or better in Computer Information Systems
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.
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Who's Hiring



Top Industries Hiring
- Insurance
What Employers Look For
The qualifications that appear most often in data solutions analyst jobs.
- Proficiency in SQL for querying and transforming structured data across relational databases
- Experience with BI tools such as Tableau, Power BI, or Looker for dashboard development
- Familiarity with ETL processes and data pipeline tools like Informatica, dbt, or SSIS
- Bachelor's degree in data science, information systems, computer science, or a related field
- Strong communication skills for translating analytical findings to non-technical stakeholders
- Experience working with cloud data platforms such as AWS, Azure, or Google Cloud
Tips for Your Data Solutions Analyst Job Search
Tailor your resume to each stack
Data solutions analyst job descriptions often call out specific tools like SQL, Tableau, Power BI, or Snowflake. Mirror the exact tool names from each listing in your resume's skills and experience sections so your application clears automated screening.
Quantify integration and reporting impact
Generic phrases like 'built dashboards' won't distinguish you. Instead, describe how many data sources you consolidated, how often stakeholders used your reports, or how your work reduced manual data prep time for a team.
Apply early to roles that fit
Migrate Mate lists data solutions analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your exact methodology
Some postings emphasize ETL pipeline work, others focus on self-service analytics or data governance. Filter for the operational angle you know deepest so your interview answers land with specifics rather than generalities.
Prepare a data translation story for interviews
Hiring managers want analysts who explain findings to non-technical stakeholders. Walk into every interview ready to describe a time you turned a messy dataset into a decision a business team actually acted on.
Negotiate scope alongside compensation
Data solutions analysts often inherit legacy systems or under-documented pipelines. During offer conversations, ask about data infrastructure maturity and team size so you can gauge workload before accepting and negotiate resources if needed.
Data Solutions Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data solutions analysts?
The most active employers for data solutions analysts right now are JPMorganChase, Booz Allen Hamilton, and Golden 1 Credit Union, and the most openings are in Texas, Massachusetts, and California, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in financial services and large healthcare systems.
How many data solutions analyst jobs are remote?
About 69% of data solutions analyst openings are fully remote or hybrid as of November 2026, reflecting the role's reliance on cloud-based tools that require no on-site infrastructure. BI reporting and data integration work tends to be the most remote-friendly, while roles that involve hands-on data governance or stakeholder collaboration often require at least partial on-site presence.
How do you become a data solutions analyst?
Start by building proficiency in SQL and at least one BI tool like Tableau or Power BI through coursework or self-directed practice. Develop hands-on experience with ETL workflows and data modeling, then build a portfolio of projects that show end-to-end work from raw data to business insight. Certifications in cloud platforms or specific analytics tools strengthen your application, and internships or junior data roles provide the professional context hiring managers look for.
Can you get a data solutions analyst job with little experience?
Yes, entry-level data solutions analyst roles exist, and employers often care more about demonstrated skills than years of experience. Building projects that use public datasets, contributing to open-source analytics work, or completing structured coursework in SQL and data visualization gives you concrete examples to reference in interviews. Many candidates transition into the role from adjacent positions in reporting, operations analysis, or business systems support.
What does the data solutions analyst interview process look like?
Most processes include an initial screening call, a technical assessment covering SQL queries and data interpretation, and one or more interviews focused on how you've solved real data problems. Some employers also include a case study or take-home exercise where you clean a dataset and present findings. Final rounds often involve meeting stakeholders from business or product teams to assess how clearly you communicate analytical conclusions.
Where can I find and apply to data solutions analyst jobs?
You can find and apply to data solutions analyst jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your tools, industry background, and seniority level, then apply directly to each listing that fits.
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