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Analyst Jobs in Lindon, UT (NOW HIRING)

Clicklease

Risk Analyst

Draper, UT · On-site

As a Risk Analyst, you'll support data-driven decision-making by analyzing portfolio performance, identifying trends, and helping monitor credit risk across our lease portfolio. Working closely with ...

Cypress HCM

Finance Analyst

Draper, UT · On-site

$40 - $46/hr

Finance Analyst This is an exciting opportunity to join a growing global company in the cloud-based software industry. We are seeking a collaborative and analytical individual to join our Financial ...

KLAS Research

Senior Analyst

Pleasant Grove, UT · On-site

$90K/yr

As a Senior Analyst, you play a critical role in making that mission real.You won't just work with data, you'll translate research into clear, credible insights that healthcare leaders rely on to ...

KLAS Research

Senior Analyst

Pleasant Grove, UT · On-site

$90K/yr

As a Senior Analyst, you play a critical role in making that mission real.You won't just work with data, you'll translate research into clear, credible insights that healthcare leaders rely on to ...

Redstone Residential

Acquisitions Analyst

Provo, UT · On-site

$65K - $70K/yr

We are looking for an Acquisitions Analyst to assist in underwriting potential multifamily and student deals across the country. This position will be responsible for screening, underwriting, and ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

MM International

Chargeback Analyst

Draper, UT · On-site

$27/hr

Chargeback Analyst Location: Draper, UT 84020 (Hybrid - Onsite Mon/Tue/Thu, Remote Wed/Fri. Transitioning to fully remote in September.) Duration: 6+ Months Pay Rate: $27/hr on W2 Key Skills:

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

$70 - $90/hr

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

Young Living Essential Oils

Data Analyst

Lehi, UT

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

Young Living Essential Oils

Data Analyst

Lehi, UT · On-site

The Data Analyst independently analyzes diverse data sets to identify trends, deliver insights, and guide strategic business decisions. This mid-level role collaborates across departments, develops ...

LendingClub Bank

Fraud Analyst

Lehi, UT · On-site

The Fraud Analyst should work closely with the Manager of Fraud to detect and mitigate new fraud trends, while aligning with outside departments to optimize the fraud controls and communication in ...

Thrive Foods

MRP Analyst

American Fork, UT · On-site

$23.75 - $29.25/hr

Material Requirements Planning Analyst (MRP Analyst) Location : Onsite, American Fork, UT Essential Functions Include: * ERP Transaction Management (Just Food / Microsoft Dynamics) * Execute and ...

Lendingclub Corporation

Fraud Analyst

Lehi, UT · Hybrid

The Fraud Analyst should work closely with the Manager of Fraud to detect and mitigate new fraud trends, while aligning with outside departments to optimize the fraud controls and communication in ...

Redo

Product Analyst

Draper, UT

Product Analyst Role Description: This is a full-time, on-site role for a Product Analyst located in Draper, Utah. The Product Analyst will be responsible for conducting thorough data analysis ...

Weave

Fraud Analyst

Lehi, UT · On-site

Analyze high-value transactions for potential fraud, employing keen analytical skills to identify red flags and escalate suspicious activity for further investigation. * Fraudulent Transaction ...

KēSTA I.T.

Business Analyst

Midvale, UT · On-site +1

$40 - $60/hr

T is actively seeking Business System Analyst for an immediate contract engagement with our client. Work Location: This position is Hybrid : We are seeking an experienced Senior Business Systems ...

Provo

Cybersecurity Analyst

Provo, UT · On-site

$72K - $118K/yr

Cybersecurity Analyst Job Posting Closing Date: 08/19 Provo City is seeking a Cybersecurity Analyst I-II to support the Cybersecurity Division in protecting the confidentiality, integrity, and ...

Redstone Residential

Acquisitions Analyst

Provo, UT

$65K - $70K/yr

Analysts will also assist with financial reporting, investor outreach, and lender interface. KEY DUTIES & RESPONSIBILITIES: * Assist the acquisitions team in deal sourcing, financial modeling, and ...

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All JobsAnalyst JobsAnalyst Jobs in Lindon, UT

Analyst information

See Lindon, UT salary details

$29.8K

$68.8K

$111.9K

How much do analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for analyst in Lindon, UT is $68,800.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $81,200.00 per year, depending on experience, location, and employer.

What does an analyst do?

An Analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions. Their responsibilities often include researching trends, preparing reports, and providing insights that guide business strategies. Analysts work in various fields such as finance, marketing, operations, or data analysis, and use specialized tools and software to analyze information. They play a key role in identifying opportunities for improvement and supporting the decision-making process within a company.

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

To thrive as an Analyst, you need strong analytical thinking, quantitative skills, and a relevant degree such as in finance, business, or data science. Familiarity with data analysis tools (like Excel, SQL, or Python), business intelligence platforms, and sometimes certifications such as CFA or CAP are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for presenting insights and collaborating with stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive informed business decisions.

How do analysts typically collaborate with other departments within an organization?

Analysts often work cross-functionally, collaborating closely with teams such as finance, marketing, operations, and IT to collect data, understand business needs, and provide actionable insights. This collaboration usually involves regular meetings, data sharing, and joint project work to ensure that analyses align with organizational goals. Effective communication and teamwork are key, as Analysts must translate complex data findings into clear recommendations for non-technical stakeholders. Building strong relationships with other departments helps Analysts stay informed about business priorities and deliver more impactful results.

What is the difference between Analyst vs Data Scientist?

AspectAnalystData Scientist
Required CredentialsBachelor's degree in related field; often certifications in data analysis or business intelligenceBachelor's or master's degree in data science, statistics, or related fields; advanced certifications often preferred
Work EnvironmentBusiness settings, using tools like Excel, SQL, and BI softwareTechnical environments, using programming languages like Python or R, and machine learning tools
Employer & Industry UsageFinance, marketing, healthcare, and retail sectorsTech companies, research institutions, and industries requiring advanced data modeling
Common Search & Comparison IntentUnderstanding role differences, required skills, and career pathsExploring advanced data analysis, modeling, and predictive analytics

While both roles analyze data to support business decisions, analysts focus on interpreting data using standard tools, whereas data scientists develop complex models and algorithms to predict future trends. The choice depends on your technical skills and career goals.

What analyst makes the most money?

Senior-level analysts in specialized fields such as financial, data, or management analysis tend to earn the highest salaries, often exceeding $100,000 annually. Factors like industry, experience, certifications, and location influence compensation levels significantly.

What degree does an analyst need?

An analyst typically needs at least a bachelor's degree in fields such as business, finance, economics, statistics, or related areas. Some roles may require or prefer a master's degree or professional certifications like CFA or CPA, especially for advanced or specialized positions.

What is an entry level analyst?

An entry-level analyst is a professional starting their career in data analysis, business analysis, or similar fields. They typically have limited work experience, often require a bachelor's degree, and use tools like Excel or basic data software to support decision-making and reporting tasks.
More about Analyst jobs

What are the most commonly searched types of Analyst jobs in Lindon, UT?

The most popular types of Analyst jobs in Lindon, UT are:

What cities near Lindon, UT are hiring for Analyst jobs?

Cities near Lindon, UT with the most Analyst job openings:

Analyst jobs near you
Infographic showing various Analyst job openings in Lindon, UT as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Contract. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $68,800 per year, or $33.1 per hour.

Business Analyst - Reporting & Analytics

ConsultNet Technology Services and Solutions

Draper, UT • On-site

$30 - $35/hr

Other

Posted 2 days ago

New

Job description


Business Analyst - Reporting & Analytics
Remote- Utah only
1 year contract
Pay Rate: $30.00 - $35.00per hr.
The Reporting and Analytics Business Analyst, as a key strategic partner within the Member Services Business Analytics team, is responsible for driving the architecture, strategy, and continuous evolution of our reporting ecosystem and analytics framework. Operating with high autonomy, this role proactively identifies operational inefficiencies, uncovers hidden business opportunities, and shapes self-directed initiatives that directly align with Ancestry's overarching business goals. The ideal candidate requires minimal direction and possesses advanced mastery of data analytics, predictive modeling, SQL, and modern visualization tools. They are deeply experienced in multi-site, omni-channel contact center operations and excel at translating complex data into strategic vision and actionable roadmap recommendations for executive stakeholders.
Inherent Characteristics

  • Strategic Vision & Customer Focus: Demonstrates expert-level competency in influencing senior leadership and cross-functional partners. Proactively advocates for the customer and agent experience to shape operational strategy.
  • Advanced Functional/Technical Expertise: Possesses exceptional quantitative, analytical, and data architectural aptitude. Recognized as a subject matter expert in querying, data modelling, and visualization best practices.
  • Proactive Initiative & Drive: Highly self-motivated; needs minimal supervision to turn vague business challenges into well-defined, value-generating analytics projects aligned with business objectives.
  • Complex Problem Solving: Demonstrates an innate ability to anticipate operational friction, define root causes, quantify financial and operational impacts, and prescribe high-impact corrective strategies.
  • Navigating Ambiguity: Thrives in a fast-paced, evolving environment by bringing order to chaos, establishing frameworks where none exist, and independently prioritizing high-value tasks.
  • Executive Communication: Masterfully articulates complex analytical stories and strategic recommendations to stakeholders at all levels, converting dense data into compelling visual and narrative insights.

Key Responsibilities

  • Strategic Analytics & Proactive Initiatives: Autonomously identify, design, and champion analytics initiatives that optimize short- and long-term omni-channel contact centre operations, financial performance, and service delivery and customer experience.
  • KPI Architecture & Dashboard Strategy: Own the end-to-end design, implementation, and governance of business-critical KPIs, predictive models, and executive-level dashboards across Tableau, SQL, and internal platforms.
  • End-to-End Project Leadership: Lead analytics and data infrastructure projects from initial concept through execution and rollout, coordinating across multi-departmental teams without explicit daily oversight.
  • Executive Advisory: Partner closely with operations and business leaders to communicate past performance drivers, future risk forecasts, and strategic trade-offs to consistently meet or exceed service level goals.
  • Advanced Data Exploration: Query and synthesize complex, multi-layered data from relational warehouses, cube databases, and raw data pipelines to answer unprompted, high-level business questions.
  • Process Optimization: Identify manual reporting bottlenecks across the team and engineer automated, scalable reporting infrastructure.

Required Skills

  • 4+ years of progressive experience in business analytics, operations analytics, or business intelligence roles, ideally within a multi-site, contact centre and customer experience environment (phone, e-mail, chat and AI bot, self-service).
  • Proven track record of operating independently, initiating high-value analytics projects, and influencing business decisions without direct authority.
  • Strong technical proficiency in SQL, Excel, and enterprise visualization/BI tools (Tableau, Power BI, PowerPivot). Familiarity with data warehouse architectures, SAS, and Zendesk analytics is highly preferred.
  • Deep understanding of workforce management (WFM) dynamics, capacity planning, and predictive forecasting models across complex multi-departmental environments.
  • Demonstrated experience leading end-to-end analytics initiatives and utilizing formal or informal project management methodologies.
  • Experience and strong knowledge in Generative Artificial Intelligence and Large Language Models.
  • Bachelor's or Master's degree in Business, Analytics, Computer Science, Statistics, Economics, a plus, or an equivalent combination of education and deep industry experience.

Apply