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Data Conversion Jobs in Utah (NOW HIRING)

Addepar

Portfolio Analytics Architect

Salt Lake City, UT · On-site

$103K - $129K/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 ...

Addepar

Lead, Portfolio Analytics Architect

Salt Lake City, UT · On-site

$53.50 - $73.25/hr

A Portfolio Analytics Architect is responsible for leading the data validation process end-to-end with clients for data conversion projects. As a Portfolio Analytics Lead, you will be responsible for ...

Browning

Senior Oracle ERP Developer

Morgan, UT · On-site

Create and support interfaces, APIs, concurrent programs, and data conversion processes * Identify, diagnose, and resolve complex application and data issues * Work with business users to gather ...

Addepar

Managed Services Consultant

Salt Lake City, UT · On-site

$90K - $112K/yr

Understanding of historical data conversion methodologies and different source systems (or hunger and willingness to learn) * Thorough with an eye toward continuous improvement * The ideal candidate ...

JourneyTEAM

Dynamics Business Central Developer

Draper, UT · On-site +1

$90K - $120K/yr

Experience with data conversion. * Skill with .Net, MS SQL, SSRS preferred. * Demonstrate ability to model complex business process and troubleshoot issues. * Experience with multiple integration ...

Addepar

Managed Services Consultant

Salt Lake City, UT

$90K - $112K/yr

Understanding of historical data conversion methodologies and different source systems (or hunger and willingness to learn) * Thorough with an eye toward continuous improvement * The ideal candidate ...

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All JobsData Conversion JobsData Conversion Jobs in Utah

Data Conversion information

See Utah salary details

$10K

$100.1K

$127K

How much do data conversion jobs pay per year?

As of Jun 13, 2026, the average yearly pay for data conversion in Utah is $100,140.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,400.00 and $122,900.00 per year, depending on experience, location, and employer.

What skills do you need to be a data specialist?

A data specialist needs strong analytical skills, proficiency in data management tools like Excel, SQL, or data visualization software, and attention to detail. Knowledge of data cleaning, data modeling, and basic programming languages such as Python or R is also important for effective data conversion tasks.

What is the highest paying data entry job?

The highest paying data entry roles typically involve specialized skills such as medical or legal transcription, data management, or working with advanced software like OCR tools. These positions often require additional certifications or experience and can pay higher wages compared to basic data entry jobs, especially in industries with complex or sensitive data. Salaries vary by location and employer, but advanced or specialized data entry roles generally offer higher compensation.

Can I earn money from data entry?

Data entry is a job that involves inputting information into digital systems, and it can be a source of income for those with strong attention to detail and basic computer skills. Many data entry roles are paid hourly or per project, often requiring familiarity with tools like spreadsheets or data management software.

What is the data conversion role?

A data conversion role involves transforming data from one format or system to another to ensure compatibility, accuracy, and usability. It often requires knowledge of data management tools, scripting, and attention to detail to prevent data loss or errors during the process.

What are the key skills and qualifications needed to thrive in the Data Conversion position, and why are they important?

To thrive in a Data Conversion role, you need strong attention to detail, data analysis skills, and experience with database management or programming, often supported by a relevant degree or certifications in IT or computer science. Familiarity with data manipulation tools such as SQL, ETL software, and various file formats is typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this position. These skills help ensure accurate and efficient transformation of data between systems, which is critical for smooth business operations and data integrity.

What are some common challenges faced in a Data Conversion role, and how are they typically addressed?

One of the most common challenges in Data Conversion is managing data inconsistencies and ensuring data quality during large-scale migrations or system upgrades. Professionals in this field often work closely with IT teams, business analysts, and end-users to identify and resolve data discrepancies or mapping issues. Effective troubleshooting, thorough testing, and clear documentation are standard practices to address these challenges. Communication skills and a proactive approach greatly help in anticipating issues and minimizing downtime during critical data transitions.

What is a Data Conversion job?

A Data Conversion job involves transforming data from one format, structure, or system to another while ensuring accuracy and consistency. This process is common when migrating data between software systems, upgrading databases, or integrating new technologies. Professionals in this role use specialized tools and scripts to clean, map, and validate data. Their goal is to prevent data loss, maintain data integrity, and ensure seamless usability in the new system.

What are popular job titles related to Data Conversion jobs in Utah? For Data Conversion jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Conversion jobs in Utah look for? The top searched job categories for Data Conversion jobs in Utah are:
What cities in Utah are hiring for Data Conversion jobs? Cities in Utah with the most Data Conversion job openings:
Data Conversion jobs near you
Marketing Performance Data Analyst

Marketing Performance Data Analyst

Filevine

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision

Posted 19 days ago

Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
 
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Role Summary:
The Marketing Performance Data Analyst will be responsible for driving marketing intelligence and performance visibility across the go-to-market organization. This role involves building and maintaining reporting infrastructure in DOMO to track SaaS marketing KPIs, funnel health, and pipeline performance. The ideal candidate brings a solid understanding of SaaS metrics and modern dashboarding best practices, and is eager to grow into a senior analytics role by learning the full depth of our business - from lead generation through customer lifecycle.
Key Responsibilities

Marketing Performance Reporting - Own and execute reporting for core SaaS marketing and GTM KPIs including MQL/SQL volume, lead-to-opportunity conversion rates, pipeline velocity, CAC, LTV, channel attribution, and campaign ROI. Partner with Marketing and Revenue Operations to troubleshoot data discrepancies and evolve reporting as business needs shift.

Business Intelligence & Dashboarding - Design, develop, and maintain marketing performance dashboards in DOMO, applying strong dashboarding principles (clear hierarchy, actionable metrics, appropriate drill-downs, minimal noise). Perform ad-hoc analyses to support Marketing and Revenue Operations teams. Translate complex data into clear, compelling visual stories that drive decision-making.

Funnel & Pipeline Analytics - Serve as the go-to analyst for marketing funnel and pipeline reporting - tracking stage-over-stage conversion, identifying bottlenecks, and surfacing insights that help the GTM team optimize spend and effort. Develop and maintain KPI definitions and measurement frameworks aligned to SaaS best practices.

Workflow Automation & Data Operations - Build and maintain automated data feeds, alerts, and notification workflows within DOMO. Streamline recurring reporting processes to reduce manual effort and improve data freshness. Support DOMO administration, staying current with platform releases and capabilities.
Required Skills & Qualifications

DOMO - Strong hands-on experience with DOMO is required. You should be comfortable building dashboards, dataflows, and automated alerts - and have opinions about how to do it well.

SaaS Marketing Metrics - Solid working knowledge of key SaaS KPIs and marketing metrics: MQL, SQL, pipeline coverage, conversion rates, CAC, LTV, payback period, funnel velocity, and attribution modeling. You should be able to speak fluently about what these mean and why they matter.

Dashboarding Best Practices - You understand what makes a dashboard useful versus decorative. Experience applying design principles like progressive disclosure, consistent KPI framing, and audience-appropriate detail.
Additional Qualifications

HubSpot - Familiarity with HubSpot's marketing and CRM tools is a plus, particularly for understanding campaign data, lead workflows, and reporting integrations.

Salesforce - Working knowledge of Salesforce data structures is a plus for integration and funnel reporting, but not required.

SQL - Basic familiarity with SQL concepts is a plus. This role won't require query writing initially, but a foundational understanding will serve you well as you grow into more advanced analytics over time. (Think of it less as a job requirement and more as a career investment.)
Growth Opportunity: This role is designed for someone who wants to grow with the company. You'll start by owning marketing analytics and progressively expand into broader business intelligence as you learn the nuances of our data, our customers, and our operations. We're looking for curiosity and ambition - not just someone who can build a dashboard, but someone who asks why the numbers look that way.

 
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine's equal employment opportunities, you may contact us at [email protected]
 
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive 
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
 
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
 
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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