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Remote Data Analytics Manager Jobs in Murray, UT

Geospatial Analyst III

Salt Lake City, UT · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop, manage, and analyze remote sensing and geospatial data sets, including unique and disparate data and information, to support resource management projects. Evaluate new remote sensing and ...

Lead Data Scientist

Draper, UT · On-site +1

$144K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ... Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if ...

Our Data Analytics sales team consists of high performers who keenly understand how the power of ... The ability to inspect our organization and management processes lies at the heart of our success ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Showing results 41-60

Remote Data Analytics Manager information

See Murray, UT salary details

$29.1K

$91.2K

$161.5K

How much do remote data analytics manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote data analytics manager in Murray, UT is $91,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $117,800.00 per year, depending on experience, location, and employer.

What does a remote data analytics manager do?

A Remote Data Analytics Manager oversees a team of data analysts and manages data projects from a remote location. They are responsible for collecting, analyzing, and interpreting complex data to help organizations make informed business decisions. This role involves collaborating with various departments, setting analytics strategies, ensuring data quality, and presenting actionable insights to stakeholders. Remote Data Analytics Managers use a variety of tools and platforms to facilitate teamwork and maintain clear communication despite not being physically present in the office.

What are the key skills and qualifications needed to thrive as a remote data analytics manager?

To thrive as a Remote Data Analytics Manager, you need strong analytical skills, expertise in statistics, and a solid background in data management, typically supported by a degree in a quantitative field and experience in analytics leadership. Proficiency with data visualization tools (like Tableau or Power BI), SQL, and data analytics platforms, along with certifications such as Certified Analytics Professional (CAP), is highly beneficial. Excellent communication, leadership, and problem-solving skills help you effectively manage remote teams and translate complex data insights into actionable business strategies. These skills ensure data-driven decision-making, team productivity, and successful project outcomes in a virtual environment.

What are some common challenges faced by remote data analytics managers, and how can they be addressed?

Remote Data Analytics Managers often encounter challenges related to team communication and project coordination due to different time zones and limited face-to-face interaction. To address these issues, it’s important to establish clear communication protocols, use collaborative project management tools, and schedule regular check-ins to ensure alignment. Additionally, fostering a culture of transparency and encouraging proactive sharing of information helps keep all team members engaged and informed. By prioritizing these practices, remote managers can effectively lead their teams and maintain productivity.

What is the difference between Remote Data Analytics Manager vs Remote Data Analyst?

AspectRemote Data Analytics ManagerRemote Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; leadership experienceBachelor's in Data Science, Statistics, or related field; technical skills
Work EnvironmentOversees teams, manages projects, strategic planningPerforms data analysis, reports, data cleaning
Employer & Industry UsageTech companies, finance, healthcare, retailSame industries, often entry to mid-level roles

The Remote Data Analytics Manager focuses on leading teams and strategic oversight, while the Remote Data Analyst handles data processing and reporting tasks. Both roles require strong analytical skills, but the manager position emphasizes leadership and project management, making it suitable for those with experience in team coordination and strategic planning.

What are popular job titles related to Remote Data Analytics Manager jobs in Murray, UT?

For Remote Data Analytics Manager jobs in Murray, UT, the most frequently searched job titles are:

What job categories do people searching Remote Data Analytics Manager jobs in Murray, UT look for?

The top searched job categories for Remote Data Analytics Manager jobs in Murray, UT are:

What cities near Murray, UT are hiring for Remote Data Analytics Manager jobs?

Cities near Murray, UT with the most Remote Data Analytics Manager job openings:

Infographic showing various Remote Data Analytics Manager job openings in Murray, UT as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $91,220 per year, or $43.9 per hour.

Strategic Transformation, Data Operations - Associate

iCapital

Salt Lake City, UT • On-site, Remote

$70K - $85K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-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.  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-us  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.