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Analytics Jobs in Bountiful, UT (NOW HIRING)

ICF

Senior Climate Analytics Specialist

Salt Lake City, UT

$84K - $103K/yr

Senior Climate Analytics Specialist Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA Are you ready to make a difference? ICF is seeking a Senior Climate Analytics ...

Krux Analytics Inc.

Data Architect

Salt Lake City, UT · On-site +1

$61.25 - $78.75/hr

Monitor and improve analytical database performance in cloud environments * Conduct model tuning and capacity optimization to support growth and usage scaling * Evaluate and enhance current analytics ...

Addepar

Portfolio Analytics Architect

Salt Lake City, UT · On-site

$103K - $110K/yr

The Role A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. The ideal candidate will have a strong ...

Synchrony

SVP, Consumer Bank Analytics

Draper, UT

The SVP, Consumer Bank Analytics is responsible for leading the analytics data strategy and insight generation across the Consumer Bank. This role serves as a strategic partner to Finance & Treasury ...

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All JobsAnalytics JobsAnalytics Jobs in Bountiful, UT

Analytics information

See Bountiful, UT salary details

$60.8K

$118.1K

$168.7K

How much do analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for analytics in Bountiful, UT is $118,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,300.00 and $140,500.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

What cities near Bountiful, UT are hiring for Analytics jobs? Cities near Bountiful, UT with the most Analytics job openings:
Analytics jobs near you
Infographic showing various Analytics job openings in Bountiful, UT as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $118,141 per year, or $56.8 per hour.

Senior Climate Analytics Specialist

ICF

Salt Lake City, UT

$84K - $103K/yr

Full-time

Posted 27 days ago

Job description

Title: Senior Climate Analytics Specialist

Preferred Locations: Salt Lake City, UT | New York City, NY | Crystal City, VA

Are you ready to make a difference?

ICF is seeking a Senior Climate Analytics Specialist with strong scientific programming and cloud-based, big data experience to support our broad portfolio of work on climate risk and resilience. Our projects span across commercial clients and all levels of government, enhancing the resilience of energy, transportation, and other critical infrastructure systems, and the vital societal and natural elements that make our communities whole. Our climate risk analytics leverage rigorous science, machine learning, distributed computing, and provide clear communication to enable proactive planning and implementation of resilience solutions.

The consultant chosen for this position will apply advanced analytics to the analysis and interpretation of weather and climate data, contribute to the development of climate risk tools and products, and support multi-disciplinary teams on multiple short- and long-term projects. This role is ideal for candidates interested in applying advanced analytics and machine learning to novel, high-impact problems where traditional modeling approaches are insufficient and new methods must be developed.

The preferred locations for this position are Salt Lake City, New York City, or Crystal City, VA.

Why you will love working here:

  • Quality of life: Flexible workplace arrangements, work-life balance

  • Investment of the community: Donation matching, volunteer opportunities

  • Investment in you: Tuition reimbursement, access to professional development resources, 401kmatching, Employee Stock Purchase Plan

  • And many, many more (Ask your recruiter for more details!)

What you'll be doing...

  • Serve as a technical expert on multi-disciplinary teams focused on applied climate risk and resilience projects
  • Use scientific programming, cloud-based distributed computing, and large-scale geospatial data processing to advance climate analytics and products
  • Translate complex climate risk questions into tractable analytical and modeling frameworks, selecting appropriate statistical, machine learning, and physics-informed approaches
  • Design, train, and rigorously validate machine learning and statistical models in data-limited and non-stationary climate contexts
  • Interface with clients on climate risk and resilience topics, and prepare high-quality communication materials such as presentations and reports
  • Complete tasks in fast-paced and self-motivated environment in a timely and efficient manner

What you'll need to have...

  • Bachelor's Degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • 5+ years of relevant experience applying advanced analytics to climate, geospatial, or environmental data
  • 2+ years of experience with Python for processing and analyzing large, multidimensional datasets (e.g., NetCDF, Zarr), including use of Pangeo ecosystem tools such as Xarray and Dask
  • Demonstrated experience designing and implementing scalable, cloud-based workflows for large geospatial and climate datasets, including parallel processing, memory-aware computation, and reproducible pipelines (e.g., AWS, SageMaker)
  • Demonstrated experience applying machine learning and statistical models to climate science, risk analysis, or related topics, using relevant Python packages (e.g., scikit-learn, PyTorch, etc.)

Our Preferred Skills/Experience...

  • Advanced degree in climate science, atmospheric science, Earth science, data science, meteorology, or similar
  • Ability to perform self-directed analytical work related to climate science topics and physical climate risk pertaining to energy systems, transportation networks, or other sectors
  • Experience working with extreme events, tail risks, or rare-event modeling in environmental or geospatial contexts
  • Outstanding oral and written communication skills; ability to communicate complex climate information to non-scientists to inform decision-making
  • Experience working with and leading multi-disciplinary teams
  • Organized, detail oriented, and the ability to prioritize and multi-task

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$81,499.00 - $138,549.00Nationwide Remote Office (US99)

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