1

Data Analytics Associate Jobs in Utah (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Develop basic data analysis tools, processes, or products for analysis * Analyze pre-test ... an associate degree and four years of related experience; or a related bachelor's degree ...

Associate

Salt Lake City, UT ยท On-site

$155K - $195K/yr

The Associate position is a pivotal consultative role designed to support various functions within ... Basic understanding of data analysis and reporting techniques. * Experience in customer service or ...

Associate

Salt Lake City, UT ยท On-site

$155K - $195K/yr

The Associate position is a pivotal consultative role designed to support various functions within ... Basic understanding of data analysis and reporting techniques. * Experience in customer service or ...

Research Associate

Salt Lake City, UT ยท On-site

$90K - $120K/yr

Position Summary PEARL is seeking a Senior Research Associate (SRA) with deep expertise in and ... Maintain and manage qualitative data systems, including codebooks, analytical memos, and ...

Research Associate

Salt Lake City, UT ยท On-site +1

$90K - $120K/yr

Details Open Date 05/27/2026 Requisition Number PRN45110B Job Title Research Associate Working ... Maintain and manage qualitative data systems, including codebooks, analytical memos, and ...

next page

Showing results 1-20

Data Analytics Associate information

See Utah salary details

$3K

$5.7K

$8.2K

How much do data analytics associate jobs pay per month?

As of Jul 19, 2026, the average monthly pay for data analytics associate in Utah is $5,726.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,200.00 and $6,108.33 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Utah? The most popular types of Data Analytics jobs in Utah are:
Strategic Transformation, Data Support - Associate

Strategic Transformation, Data Support - Associate

iCapital

Salt Lake City, UT โ€ข On-site, Remote

$70K - $85K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

About the Role

iCapital is seeking a detail-oriented and technically capable Analyst or Associate to join Strategic Transformation team. This individual will own root-cause investigations of production data issues, contribute to ETL pipeline development, and act as the primary liaison between Fund Finance operations and engineering. This role will help define requirements, drive data quality initiatives, and build the tooling and dashboards that give stakeholders real-time visibility into exceptions and resolution status.

The Strategic Transformation Data team is an embedded data function within Fund Finance at iCapital. This team partners directly with Fund Operations, Technology, and Product teams to resolve data quality issues, build ETL pipelines, and deliver automation tooling that enables the business to scale. The team sits at the intersection of data engineering, business analysis, and operational transformation.

Responsibilities

  • Perform root-cause analysis of production data issues using SQL, working cross-functionally with engineering and operations teams to drive resolution.
  • Support and contribute to ETL pipeline development, collaborating closely with Product managers and engineers throughout the development lifecycle.
  • Serve as the primary liaison between fund administrators, business groups, and technology teams to manage and resolve data exceptions and discrepancies.
  • Collaborate with Product Managers to define, scope, and implement data projects for existing workflows and new product features.
  • Develop exception management tooling to strengthen data quality controls and produce metrics and dashboards that help stakeholders prioritize issue resolution.
  • Define clear business and technical requirement documents for engineering teams addressing new features or existing issues.
  • Build an in-depth understanding of end-to-end organizational data flows and their downstream impact on Fund Finance business processes.
  • Write test cases and perform UAT to ensure issues are identified and addressed before production deployment.
  • Identify and contribute to automation initiatives that reduce manual intervention in recurring data workflows, including reconciliation, ingestion monitoring, and exception handling.
  • Formalize operational knowledge into structured documentation, enabling the team to scale independently of individual expertise.

Qualifications

  • 2+ years of experience in a business analyst, data support, or application support role within financial services
  • Bachelor's degree or higher in computer science, business analytics, business administration, finance, or a related field
  • Proficiency in SQL for data analysis, investigation, and root-cause diagnostics
  • Proven ability to perform structured root-cause analysis and coordinate with engineers through investigation and resolution
  • Strong analytical and problem-solving skills, with the ability to translate complex data issues into clear business language
  • Excellent communication and stakeholder management skills and comfortable working across technical and non-technical audiences
  • Experience with private equity, hedge fund, or alternative investment operations and data
  • Familiar with ETL pipeline concepts, data ingestion patterns, or workflow automation
  • Experience writing Jira tickets or structured requirement documents for engineering teams
  • Exposure to AI-assisted tooling or automation frameworks and Python are a plus

Benefits

The base salary range for this role is $70,000 to $85,000.ย  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-usย  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.