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Assistant Data Analytics Jobs in Draper, UT (NOW HIRING)

Software Engineer, Data

Lehi, UT

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Software Engineer, Data

Lehi, UT ยท On-site

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Software Engineer, Data

Lehi, UT ยท On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Sr Compliance Data Analyst

Lehi, UT ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

Join us in using data, bold thinking, and a commitment to innovation to help clear the way for ... * Assist in regulatory exam readiness and internal audit reviews About You * 2-5 years of analytics ...

Data Engineer IV - AI & Data Products

Draper, UT ยท On-site

$107K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Data Governance & Quality * Manage business glossary in collaboration with business ...

Showing results 21-40

Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

What are the key skills and qualifications needed to thrive as an assistant data analytics, and why are they important?

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

What are the most commonly searched types of Data Analytics jobs in Draper, UT?

The most popular types of Data Analytics jobs in Draper, UT are:

What are popular job titles related to Assistant Data Analytics jobs in Draper, UT?

For Assistant Data Analytics jobs in Draper, UT, the most frequently searched job titles are:

What job categories do people searching Assistant Data Analytics jobs in Draper, UT look for?

The top searched job categories for Assistant Data Analytics jobs in Draper, UT are:

What cities near Draper, UT are hiring for Assistant Data Analytics jobs?

Cities near Draper, UT with the most Assistant Data Analytics job openings:

Infographic showing various Assistant Data Analytics job openings in Draper, UT as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Business Intelligence (Advanced Analytics Developer)

Solomon Page

Draper, UT โ€ข On-site

$55/hr

Contractor

Medical, Dental, Retirement

Posted 10 days ago


Job description

We're seeking an Analyst, AI & Analytics for our Executive and Equity Compensation function - a curious, hands-on analytics builder with strong quantitative problem-solving skills who can transform how we produce reporting, develop insights, and support high-stakes decisions. This role sits at the intersection of data analytics, business analysis, applied AI, automation, and compensation, partnering directly with the Director of Executive and Equity Compensation to turn ambiguous business needs into reliable, scalable analytics products using AI. Deep compensation expertise isn't required - we're prioritizing problem-solving, technical fluency, learning agility, and a proven track record of bringing practical solutions to reality in the age of AI.
  • Pay Range :$50/hr on w2 to $55/hr on w2
Responsibilities:
  • Apply a product-centric approach to streamline, re-engineer, and automate recurring monthly, quarterly, and annual reporting, reconciliations, analyses, and decision workflows
  • Evaluate compensation frameworks using quantitative and qualitative data to pinpoint problems and recommend data-backed automated AI solutions
  • Design, build, and maintain scalable data models, dynamic dashboards, and reporting solutions for use cases such as benchmarking, scenario analysis, grant and equity reporting
  • Apply company-approved AI tools and automation to data preparation, classification, reconciliation, anomaly detection, analysis, narrative generation, and ad hoc question answering, with appropriate human review and controls
  • Develop AI-enabled workflows, assistants, or agents grounded in approved data and documentation that produce reliable, explainable, and useful outputs
  • Translate ambiguous business questions into clear problem statements, requirements, prototypes, and measurable outcomes
  • Establish data definitions, quality checks, validation controls, documentation, and monitoring to improve trust, auditability, and repeatability
  • Create executive-ready visualizations and narratives that turn complex data from Workday, Vizier, and stock administration systems into clear insights, options, and recommendations
  • Partner across People Analytics, HR Technology, Stock Administration, Payroll, Data and Engineering, Privacy, Security, and Responsible AI
  • Evaluate tools and build-versus-buy options, create reusable operating practices, and handle highly sensitive information with exceptional discretion and accuracy
Required Qualifications:
  • 3-5 years of relevant experience in data analytics, business analytics, business systems, data science, finance, consulting, HR analytics, compensation, or a related field
  • Bachelor's degree in a quantitative, technology, analytics, business systems, or related field - or equivalent practical experience
  • Practical experience leveraging modern analytics and AI-enabled tools (e.g., ChatGPT Advanced Data Analysis, Claude Code) to accelerate data cleaning, script writing, and reporting; automate workflows; familiarity with prompt design, structured outputs, orchestration, or evaluation is valuable
  • Proven track record of breaking down complex or ambiguous problems and carrying solutions from concept through launch, adoption, and improvement
  • Strong proficiency in advanced Excel or Google Sheets strongly preferred; proficiency in SQL, Python, R, or another scripting/automation language is a plus but not required
  • Experience building data models, working with large and complex datasets, implementing validation and reconciliation controls, and creating dashboards in Power BI or a comparable platform
Preferred:
  • Experience in executive compensation, equity compensation, total rewards, people analytics, finance analytics, stock administration, or another adjacent domain
  • Business Systems Analyst experience with Workday or another HRIS, equity administration platforms
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook , and LinkedIn .
Opportunity Awaits.
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