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Data Analyst Non Technical Jobs in Utah (NOW HIRING)

Data Engineer

Provo, UT

$108K - $130K/yr

... analysts, compliance teams, and technology leadership, this role requires both technical depth and ... and non-technical audiences PREFERRED QUALIFICATIONS • Experience in a regulated financial ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

... analysts, compliance teams, and technology leadership, this role requires both technical depth and ... and non-technical audiences PREFERRED QUALIFICATIONS • Experience in a regulated financial ...

Software Engineer, Data

Lehi, UT · On-site

$140 - $180/hr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... Exceptional ability to collaborate with non-technical stakeholders, translating business ...

Ability to explain HR data clearly to non-technical stakeholders and turn analysis into business recommendations. * Excellent verbal and written communication skills. * Comfort managing multiple ...

Software Engineer, Data

Lehi, UT · On-site

$120 - $180/hr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... Exceptional ability to collaborate with non-technical stakeholders, translating business ...

We are hiring a Principal Analyst Data Manager to work onsite in Tucson, Arizona. What You Will Do ... Secure non-deliverable program work products to be configuration controlled in the PDM system and ...

Software Engineer, Data

Lehi, UT · On-site

$107K - $129K/yr

You'll join our data & analytics team as its first dedicated data engineer, working alongside data ... Exceptional ability to collaborate with non-technical stakeholders, translating business ...

Showing results 41-60

Data Analyst Non Technical information

What is a data analyst non technical?

A Data Analyst (Non Technical) is a professional who works with data to help organizations make informed decisions, but focuses more on interpreting and presenting data rather than writing code or using advanced technical tools. They often use spreadsheets and basic data visualization software to analyze trends, prepare reports, and communicate findings to non-technical stakeholders. Their role is key in translating complex data into actionable insights that can be easily understood by decision-makers across the business.

How do data analyst non technical roles typically contribute to cross-departmental projects within an organization?

Data Analyst (Non-Technical) professionals often serve as a bridge between data teams and business units, helping translate data insights into actionable strategies for departments like marketing, sales, or operations. They work closely with stakeholders to understand their data needs, prepare reports, and communicate findings in accessible language. Collaboration is key, as they frequently participate in meetings, provide context for data trends, and ensure that different teams are aligned on objectives and outcomes. This role is ideal for those who enjoy teamwork, communication, and applying analytical thinking to solve business challenges.

What are the key skills and qualifications needed to thrive as a data analyst non technical, and why are they important?

To excel as a Data Analyst (Non-Technical), you need strong analytical thinking, attention to detail, and a solid understanding of data interpretation, usually supported by a bachelor's degree in a related field. Familiarity with Excel, basic data visualization tools, and reporting platforms is typically expected, though advanced programming is not required. Effective communication, problem-solving, and stakeholder management are vital soft skills that help translate data insights into actionable business strategies. These abilities are crucial for ensuring data-driven decisions align with organizational goals and for communicating findings clearly to non-technical audiences.

What is the difference between Data Analyst Non Technical vs Data Analyst Technical?

AspectData Analyst Non TechnicalData Analyst Technical
Required SkillsData interpretation, reporting, visualization tools (Excel, Tableau)Programming (Python, R), SQL, data modeling
CertificationsBusiness Intelligence certifications, Tableau, ExcelSQL certifications, Python/R courses
Work EnvironmentBusiness teams, reporting dashboardsData engineering teams, coding environments
Industry UsageMarketing, finance, sales analysisData science, machine learning projects

Data Analyst Non Technical roles focus on interpreting data and creating reports using visualization tools, requiring less programming knowledge. Data Analyst Technical roles involve coding, data modeling, and advanced analytics. Both roles are essential in data-driven industries but differ mainly in technical skill requirements and work environment.

Can a non-technical person become a data analyst?

Yes, a non-technical person can become a data analyst by developing skills in data visualization, basic statistical analysis, and tools like Excel or Tableau. Many roles also value strong problem-solving and communication skills, and training or certifications in data analysis can help bridge technical gaps.

What other jobs can a data analyst do?

A data analyst can transition into roles such as data scientist, business analyst, data engineer, or operations analyst, leveraging skills in data visualization, statistical analysis, and tools like Excel, SQL, and Tableau. These roles often require a strong understanding of data management, programming languages like Python or R, and industry-specific knowledge.

What are popular job titles related to Data Analyst Non Technical jobs in Utah?

For Data Analyst Non Technical jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Data Analyst Non Technical jobs in Utah look for?

The top searched job categories for Data Analyst Non Technical jobs in Utah are:

What cities in Utah are hiring for Data Analyst Non Technical jobs?

Cities in Utah with the most Data Analyst Non Technical job openings:

Part-time

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Church of Jesus Christ of Latter-day Saints rating

8.7

Company rating: 8.7 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

3rd of 18 rated religious organizations


Job description

This position is central to the missionaries' role to 'Invite others to come unto Christ by helping them receive the restored gospel through faith in Jesus Christ and His Atonement, repentance, baptism, receiving the gift of the Holy Ghost, and enduring to the end.' The TALL Embark Data Analyst is an entry support level individual contributor responsible for analyzing and improving content and metadata for all MTC training languages. They work with partners in other areas to improve content quality and impact under the direction of the Curriculum Solution Manager.

Church employees find joy and satisfaction in using their unique talents and abilities to further the Lord's work. From the IT professional who develops an app that sends the gospel message worldwide, to the facilities manager who maintains our buildings- giving Church members places to worship, teach, learn, and receive sacred ordinances-our employees seek innovative ways to share the gospel of Jesus Christ with the world. They are literally working in His kingdom.
Only members of the Church who are worthy of a temple recommend qualify for employment. Apart from this, the Church is an equal opportunity employer and does not discriminate in its employment decisions on any basis that would violate U.S. or local law.
Qualified applicants will be considered for employment without regard to race, national origin, color, gender, pregnancy, marital status, age, disability, genetic information, veteran status, or other legally protected categories that apply to the Church. The Church will make reasonable accommodations for qualified individuals with known disabilities.

Required:
1 year of experience working with language learning content, data analysis, content management or language training
Proficiency in a second language
Ability to design and debug computational processes (data transformation, string comparison)
Ability to design and interpret relational data structures
Ability to interpret and articulate complex technical requirements
Strong knowledge of spreadsheet formulas (Google Sheets)
Ability to use or learn to use Python/R and SQL
To successfully perform the essential functions of the job, there may be physical requirements which need to be met such as sitting for long periods of time and using monitors/equipment.


Preferred:
Foundational knowledge of linguistics concepts
Familiarity with MTC curriculum and practices
Familiarity with TALL Embark

Reports to manager level in the Training department.
Maintains language content and metadata using Google Sheets, scripts, APIs, published linguistic data, and ad hoc processes.
Seeks content feedback from training partners.
Designs and completes quality audits to ensure data consistency and coverage.
Completes varied content management assignments with minimal supervision.
Recommends and/or create automation components to improve content maintenance processes.
Documents complex content management processes.
Requests, tracks, and communicates on the release of content updates.
May include other temporary assigned duties at the MTC (e.g. assisting with Mission Leadership Seminar)


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