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Remote Data Analyst information

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$32.3K

$78.4K

$129K

How much do remote data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for remote data analyst in Provo, UT is $78,388.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,300.00 and $92,000.00 per year, depending on experience, location, and employer.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Provo, UT? The most popular types of Data Analyst jobs in Provo, UT are:
What are popular job titles related to Remote Data Analyst jobs in Provo, UT? For Remote Data Analyst jobs in Provo, UT, the most frequently searched job titles are:
What job categories do people searching Remote Data Analyst jobs in Provo, UT look for? The top searched job categories for Remote Data Analyst jobs in Provo, UT are:
What cities near Provo, UT are hiring for Remote Data Analyst jobs? Cities near Provo, UT with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Lead Data Analyst - CX Strategy (Remote)

Lead Data Analyst - CX Strategy (Remote)

Kforce Technology Staffing

Draper, UT • Remote

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data Analyst - CX Strategy for a remote role.
Overview:
We are seeking a highly hands-on Senior/Lead Data Analyst to support Customer Experience (CX) Strategy and Insights initiatives across key customer and client journeys. This role is ideal for a proactive, execution-focused analyst who can quickly ramp up, operate independently, and turn complex customer experience data into actionable business outcomes.
The ideal candidate combines strong analytical skills with deep experience in CX measurement, Voice of Customer (VoC), digital journey analytics, and modern analytics platforms such as Qualtrics, Databricks, and Power BI. Experience leveraging AI-enabled capabilities within analytics and CX platforms is strongly preferred.
Key Responsibilities:
  • Own end-to-end CX and journey analytics across key member and client experiences, including digital behavior, contact drivers, and operational performance
  • Design, implement, and optimize transactional listening programs within Qualtrics or similar CX platforms

Develop and manage:
  • Transactional surveys
  • Digital intercepts
  • Session replay instrumentation and behavioral tagging
  • Analyze VoC, operational, contact center, and digital analytics data to identify customer friction points, repeat contacts, and experience gaps
  • Translate insights into actionable recommendations with clearly defined owners, measurable outcomes, and execution tracking

Deliver recurring CX reporting and business reviews including:
  • KPI trends and variance analysis
  • Root cause insights
  • Action plans and expected business impact
  • Build structured work tracking processes to ensure visibility into initiatives, priorities, owners, progress, and outcomes

Create executive-ready insight deliverables, newsletters, and deep-dive analyses highlighting:
  • Customer pain points
  • Journey gaps
  • Operational inefficiencies
  • Opportunities for improvement

REQUIREMENTS:
  • Bachelor's degree in Analytics, Data, Technology, Business, or related field

4-7+ years of experience in:
  • CX analytics
  • Product analytics
  • Journey analytics
  • Customer insights
  • Strong hands-on experience with Qualtrics or similar CX/VoC platforms

Experience implementing and managing:
  • Transactional surveys
  • Digital intercepts
  • Session replay/behavioral analytics

Strong experience analyzing:
  • NPS/CSAT/Voice of Customer data
  • Contact center metrics (repeat contact, call drivers, AHT)
  • Digital funnel and journey analytics

Advanced experience with modern analytics and reporting tools such as:
  • Power BI
  • Databricks
  • SQL
  • Demonstrated ability to connect customer experience signals to measurable operational and business outcomes
  • Proven ability to independently structure work, prioritize initiatives, and execute with minimal oversight
  • Strong communication and stakeholder management skills

Preferred Qualifications:
  • Experience leveraging AI-enabled analytics capabilities within platforms such as Qualtrics, Databricks, Power BI, or similar tools
  • Experience using AI-assisted insights, automation, predictive analytics, or intelligent reporting features within modern data and CX platforms
  • Experience working in enterprise-scale customer experience environments
  • Prior experience in highly cross-functional organizations involving Product, Operations, and Technology teams

Ideal Candidate Profile:
  • Go-getter mentality with the ability to hit the ground running
  • Highly hands-on and execution-oriented
  • Comfortable navigating ambiguity and driving outcomes independently
  • Strong analytical storyteller who can move from insight to action
  • Detail-oriented with strong organizational and execution discipline

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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