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Afternoon Data Analyst R Programming Jobs in Utah

Use Python/R and VBA to create and send regular performance reports, focusing on backlog/billing ... Skills: Advanced Excel VBA programming, data modeling, and professional English communication ...

I have an opportunity for "Data Analyst" and looking for a candidate who can join Immediately if ... Azure Data Engineering, Azure DBA, Azure Developer or others related to the position * Domain ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of the Omnicom Precision ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

Data and Analytics Job Subfunction: Data Science and Analytics MRM is part of theOmnicomPrecision ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

Data Analyst

Salt Lake City, UT · On-site

$60 - $80/hr

Data and Analytics **Job Subfunction:**Data Science and Analytics** **MRM is part of the Omnicom ... programming skills. - Basic SQL capabilities: joining tables, using 'group by' clauses, case ...

This role utilizes various analytical and programming skills to develop BI solutions and supports ... Python, R, or other statistics platform preferred. • Professional presence with excellent ...

Be Seen First

... data analysis, reporting, system management, and operational improvement ... This position works closely with engineering, operations, and field teams to monitor production ...

Assists in the analysis of underlying issues arising from investigations into requirements. Assists ... May have prior experience as a Programmer and/or Service Delivery Engineer within a technical ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

Data Engineer/Analyst

Layton, UT · On-site

$100 - $125/hr

Hybrid Onsite 2-3 days a week at Hill Air Force Base (Ogden, UT) Illumination Works is looking for a Data Analyst/Engineer to join our dynamic team at Hill Air Force Base, Utah, where we specialize ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

We are seeking a Data Analyst - API to maintain the API-based data integrations that connect ... Partner with engineering, data platform, and product teams to meet diverse data requirements across ...

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Afternoon Data Analyst R Programming information

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the most commonly searched types of Data Analyst R Programming jobs in Utah?

The most popular types of Data Analyst R Programming jobs in Utah are:

What are popular job titles related to Afternoon Data Analyst R Programming jobs in Utah?

For Afternoon Data Analyst R Programming jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Utah look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Utah are:

What cities in Utah are hiring for Afternoon Data Analyst R Programming jobs?

Cities in Utah with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago


Key responsibilities

  • Develop and maintain a centralized Cloud-Based Sales Operations Data Center to support analytics and reporting needs.

  • Architect and automate data pipelines integrating CRM (D365) and ERP (Oracle) systems with the central cloud database for real-time data flow.

  • Create and maintain executive-level Power BI dashboards and automate performance reports using Python/R and VBA.


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/RPower BIExcel 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.