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Sql Python Excel Power Bi Tableau Jobs in Utah (NOW HIRING)

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 ...

BI - Senior Data Analyst

Orem, UT

$74.80K - $94.30K/yr

... Tableau and other ecosystem tools required (2-3+ years) * High aptitude with spreadsheets, (Excel ... Proficiency in programming languages SQL, SOQL, or similar technologies, as well as Python or R (1 ...

New

Data Engineer

Woods Cross, UT · Remote

$108K - $129.70K/yr

Our stack primarily includes Azure SQL, Python-based data workflows, Azure Functions and Container ... Power BI through well-structured datasets and optimized data models * Proficiency with Excel for ...

Sr Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Power BI, Microsoft Power Apps, and Microsoft Excel; SnapLogic is a plus. * Exceptional ability to ...

Sr Data Engineer

Lehi, UT · On-site

$107.50K - $129.10K/yr

Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform ... Power BI, Microsoft Power Apps, and Microsoft Excel; SnapLogic is a plus. * Exceptional ability to ...

Data Engineer

Sandy, UT

$108.80K - $130.70K/yr

... SQL preferred) * 2+ years of experience building reports or dashboards (Power BI, SSRS, Tableau) * Experience with Python or scripting for automation and data processing * Experience with ETL ...

Data Engineer

Salt Lake City, UT · On-site

$110.80K - $133.10K/yr

... SQL preferred) * 2+ years of experience building reports or dashboards (Power BI, SSRS, Tableau) * Experience with Python or scripting for automation and data processing * Experience with ETL ...

Perform complex data analysis, statistical modeling, and predictive analytics using SQL, R, and Python. * Build and maintain dashboards, reports, and visualizations in Power BI to ensure clarity ...

Senior Data Analyst - Remote

Draper, UT · On-site +1

$80.40K - $101.40K/yr

Perform advanced analysis using Excel, including pivot tables, Power Query, Power Pivot, and ... Advanced Python proficiency, with hands-on experience using libraries such as pandas, NumPy, and ...

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Sql Python Excel Power Bi Tableau information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.

What are SQL, Python, Excel, Power BI, and Tableau jobs?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Utah? For Sql Python Excel Power Bi Tableau jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Utah look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Utah are:
What cities in Utah are hiring for Sql Python Excel Power Bi Tableau jobs? Cities in Utah with the most Sql Python Excel Power Bi Tableau job openings:
Sales Operations Data Analyst

Sales Operations Data Analyst

Navitas Semiconductor

On-site, Remote

Other

Medical, Dental, Vision, PTO

Posted 16 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/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.