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Data Analyst In Social Services Jobs in Utah (NOW HIRING)

Sales Ops Data Analyst In Office /Remote: /Hybrid Exempt / Non-exempt Based: Manila, Philippines Job Purpose: Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader ...

Must be able to perform duties in a timely fashion, and within the prescribed sequences and ... the social service portion of the participant care plan within five days of admission and ...

Data Analyst

Lehi, UT · On-site +1

Position Summary The Data Analyst collects, integrates, manages, and analyzes complex data to ... Build tools that help leadership evaluate potential changes in pricing, advertising investment ...

New

With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and ... YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ...

Data Analyst Location : Salt Lake City/UT Duration : 12 Months Contract : Requirements ... Degree - Candidate must possess a bachelor's degree from an accredited college in Computer Science ...

... in 1991, Collabera is one of the fastest growing end-to-end information technology services and ... Assists in the analysis of underlying issues arising from investigations into requirements. Assists ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location ... American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology ...

Data Analyst Assistant (Part-time, 20 hours/week) - Programming Focus Location ... American Fork, Utah (In Office) About Us: Brevium is a dynamic and innovative healthcare technology ...

Safety Data Analyst

Salt Lake City, UT · On-site

$37K - $52K/yr

SkyWest operates in partnership with Delta Air Lines, United Airlines, American Airlines, and ... Primary Job Duties * Analyze, compile, and report safety data to support all SkyWest safety ...

Safety Data Analyst

Saint George, UT · On-site

$37K - $52K/yr

SkyWest operates in partnership with Delta Air Lines, United Airlines, American Airlines, and ... Primary Job Duties * Analyze, compile, and report safety data to support all SkyWest safety ...

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Data Analyst In Social Services information

What does a data analyst in social services do?

A Data Analyst in Social Services collects, processes, and interprets data related to social programs, beneficiaries, and community needs. They help organizations make informed decisions by identifying trends, evaluating program effectiveness, and generating reports. Their work supports the development of strategies to improve service delivery, allocate resources efficiently, and demonstrate the impact of social service initiatives. Data Analysts in this field often work with sensitive information and collaborate closely with social workers, program managers, and policymakers.

How does a data analyst in social services typically collaborate with case managers and program staff?

As a Data Analyst in Social Services, you'll regularly work closely with case managers and program staff to interpret data trends, measure program effectiveness, and identify areas for improvement. You may help design data collection tools, provide training on data entry protocols, and meet with teams to discuss findings that influence service delivery strategies. This collaboration ensures that the data you analyze directly supports real-world decisions, ultimately enhancing outcomes for clients served by the organization.

What are the key skills and qualifications needed to thrive as a data analyst in social services, and why are they important?

To thrive as a Data Analyst in Social Services, you need strong analytical skills, experience with data management, and a relevant degree in statistics, social sciences, or a related field. Familiarity with data analysis tools such as Excel, SQL, and statistical software like SPSS or R is typically required. Excellent communication, problem-solving abilities, and an understanding of social service contexts are standout soft skills. These competencies are crucial for accurately interpreting data, informing policy decisions, and driving positive outcomes for communities served.

What is the difference between Data Analyst In Social Services vs Data Analyst In Healthcare?

AspectData Analyst In Social ServicesData Analyst In Healthcare
Required CredentialsBachelor's in social sciences, data analysis certificationsBachelor's in health sciences, data analysis certifications
Work EnvironmentNon-profit agencies, government social programsHospitals, clinics, healthcare organizations
Employer & Industry UsageSocial service agencies, government departmentsHealthcare providers, insurance companies
Common Search & ComparisonYesYes

While both roles involve data analysis skills, Data Analyst In Social Services focuses on social programs and community services, whereas Data Analyst In Healthcare specializes in health data within medical settings. The credentials and work environments overlap but differ in industry focus, making each role tailored to its specific sector.

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

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Other

Medical, Dental, Vision, PTO

Re-posted 23 days ago


Job description

Job Description:

Title: Sales Ops Data Analyst

 In Office /Remote: /Hybrid

 Exempt / Non-exempt

Based: Manila, Philippines

Job Purpose:

Navitas Semiconductor (Nasdaq: NVTS) is a next-generation power semiconductor leader driving innovation in gallium nitride (GaN) and high-voltage silicon carbide (SiC) technologies. Our products enable faster, more efficient power delivery across AI data centers, high-performance computing, energy and grid infrastructure, and industrial electrification.

With more than 30 years of combined expertise in wide bandgap technologies, GaNFast™ power ICs integrate GaN power, drive, control, sensing, and protection, delivering faster power delivery, higher system density, and greater efficiency. GeneSiC™ high-voltage SiC devices leverage patented trench-assisted planar technology to provide industry-leading voltage capability, efficiency, and reliability for medium-voltage grid and infrastructure applications. 

We are seeking a Data Analyst to join our fast-growing, collaborative team. The ideal candidate is self-motivated, energetic, and able to thrive in a high-growth, innovative environment, contributing directly to technologies that are shaping the future of power electronics. 

Key Responsibilities and Duties:

Summary:

We are seeking an experienced Data Analyst in Sales Operations department to manage sales data analysis and distributor activities to drive sales performance. Focus on developing and maintaining sales operations databases, automating reporting. You will be the lead architect and manager of the Sales Operations Data Center. Your mission is to consolidate fragmented data from CRM and ERP systems into a unified, automated infrastructure that powers the global semiconductor sales strategy.

1. Cloud Data Infrastructure & Architecture

  • Build & Manage: Develop and maintain a centralized Cloud-Based Sales Ops Data Center, ensuring robust data structures to support all analytics and reporting needs.
  • Pipeline Automation: Architect and automate data pipelines that integrate CRM (D365) and ERP (Oracle) systems with the central cloud database for real-time data flow.
  • Scalability: Collaborate with IT to optimize the performance and scalability of the sales data infrastructure.

2. Data Governance & Security

  • Standardization: Maintain accuracy and consistency of sales, billing, and lead data by standardizing information across all global platforms.
  • Security & Access: Manage cloud access controls, user roles, and data retention policies to ensure privacy and regulatory compliance.

3. Advanced Analytics & AI Innovation

  • AI Development: Build and deploy AI-driven solutions or AI agents to automate routine data cleaning, summarize complex sales reports, or predict pipeline risks.
  • Automated Reporting: Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing and sales forecast accuracy.

4. Commercial Strategy & Collaboration

  • BI Development: Create and maintain executive-level Power BI dashboards that track critical metrics like "Book-to-Bill" and pipeline velocity.
  • Global Liaison: Act as the primary English-speaking technical contact for Sales Operations, translating commercial needs into technical database solutions.

Knowledge, Skills, Abilities, and Other Characteristics (KSAO’s)

  • Knowledge:  Comprehensive mastery of SQL (Database Design/Management), Python/R, Power BI, Excel VBA, and the data schemas of Microsoft D365, Salesforce and Oracle.
  • Skills: Advanced Excel VBA programming, data modeling, and professional English communication (written and verbal).
  • Abilities: Ability to translate complex sales data into clear business narratives and automate repetitive reporting cycles.
  • Others: Detail-oriented mindset for billing accuracy and a drive for continuous improvement through AI integration.

Required Qualifications

Basic

  • Communication: Professional proficiency in English; ability to collaborate with global stakeholders and document technical workflows clearly.
  • Core Tech Stack: Expert-level SQL and advanced Python or R for data manipulation and automation.
  • Systems: Hands-on experience with different CRM and ERP systems. Such as Microsoft Dynamics 365 (F&O) and Oracle ERP systems.
  • Reporting: Proven experience in Excel VBA programming and building/managing Power BI dashboards.

Preferred

  • AI Agency Programming: Experience building AI Agents (e.g., LangChain, CrewAI, or AutoGPT) to automate data auditing, summarization, or predictive sales forecasting.
  • Industry Expertise: Direct experience in Semiconductor Sales Ops (managing Backlog, Billing, Pipeline, and Forecast cycles).
  • Cloud Architecture: Experience setting up serverless functions or automated triggers within a cloud environment.

What We Offer

  • A front-row seat to the future of power electronics. Work on cutting-edge GaN and SiC technologies that are transforming AI data centers, electrification, and global energy infrastructure.
  • A fast-paced, high-energy environment. We move quickly, make decisions with purpose, and empower employees to take ownership and drive real impact from day one.
  • A team that shows up and delivers. We care deeply about our mission, our customers, and each other. We collaborate, support one another, and bring intensity and accountability to everything we do.
  • Full support to succeed. You’ll have access to leadership, cross-functional collaboration, and the resources needed to innovate and execute at a high level.
  • Competitive total rewards. Comprehensive health, dental, and vision coverage, unlimited PTO, and a competitive compensation package including base salary,  bonus, and equity awards.