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

Calyx Containers

Sourcing Analyst

West Valley City, UT · On-site

Advanced Excel; comfort with BI tools (Power BI, Tableau, or similar); bonus for SQL, Python, or Minitab * Strong analytical and problem-solving instincts; Lean Six Sigma a plus * Solid written and ...

Calyx Containers

Sourcing Analyst

West Valley City, UT · On-site

Advanced Excel; comfort with BI tools (Power BI, Tableau, or similar); bonus for SQL, Python, or Minitab * Strong analytical and problem-solving instincts; Lean Six Sigma a plus * Solid written and ...

KēSTA I.T.

Data Engineer

Draper, UT

$100K - $114K/yr

... SQL or similar technologies) * Programming experience in languages such as Python, Scala, Java, or ... Experience with data visualization and BI tools (e.g., Power BI, Tableau, Domo or similar) About ...

FINWISE BANK

COMPLIANCE TESTING MANAGER

Murray, UT

Experience utilizing data analytics tools including Excel, Power BI, Tableau, SQL, or similar platforms. * Able to demonstrate client relationship skills. * Broad thinker with ability to drive ...

Navitas Semiconductor

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 ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/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 ...

AutoSavvy

Data Engineer

Woods Cross, UT · On-site

$108K - $129K/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 ...

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All JobsSql Python Excel Power Bi Tableau JobsSql Python Excel Power Bi Tableau Jobs in Utah

Sql Python Excel Power Bi Tableau information

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 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 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 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:
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Sql Python Excel Power Bi Tableau jobs near you
Senior Revenue Operations Manager

Senior Revenue Operations Manager

Conservice

Salt Lake City, UT • On-site

Full-time

Posted 21 days ago

Conservice rating

7.4

Company rating: 7.4 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

37th of 52 rated energy and utility

Job description

Role Summary
The Senior Operations Manager, Revenue Strategy & Analytics, is the analytical and operational engine behind revenue growth for the Meters business. You will build revenue models, analyze performance trends, and lead cross-functional workstreams that launch new revenue initiatives. This role blends analytics, project management, and operational execution, and works closely with Demand & Planning, Field Service, Client Experience, Finance, and Technology.
This is a high-visibility role for someone early in their career who wants to grow fast and take ownership of meaningful work.
Why This Role Matters
Revenue Ops is a small, high-impact team. You will be the primary analytical and execution support for new revenue initiatives. Your work directly influences revenue growth, operational efficiency, and strategic decision-making.
You'll partner closely with:
  • VP of Meters
  • Finance
  • Account Management
  • ELT leaders on new initiatives
  • Clients

This role is a launchpad into Revenue Ops, BizOps, FP&A, or operational leadership.
Key Responsibilities
Revenue Analytics
  • Build and maintain revenue models, forecasts, and dashboards
  • Analyze pricing, volume, mix, and margin trends
  • Identify revenue opportunities and performance gaps
  • Support monthly and quarterly revenue reviews with insights and recommendations

Revenue Initiative Execution
  • Project-manage new revenue initiatives from concept through launch
  • Coordinate with Demand & Planning, Field, CX, SC, Finance, and IT to ensure operational readiness
  • Build workflows, SOPs, and documentation for new revenue streams
  • Track initiative performance and ensure accountability across teams

Operational Support
  • Support pricing updates, revenue pilots, and service-line expansions
  • Build reporting packages and executive-ready summaries
  • Assist with ad-hoc analysis and operational problem-solving

Cross-Functional Leadership
  • Facilitate meetings, timelines, and deliverables
  • Translate revenue strategy into actionable steps for operational teams
  • Ensure alignment and communication across departments

  • BA/BS in Business, Marketing, Information Systems, or related field (MBA or MISM preferred).
  • 5+ years' experience in consulting, finance, sales operations, or marketing program execution.
  • Proven ability to translate business requirements into analytics problems and deliver clear, actionable solutions to leadership.
  • Strong working knowledge of Salesforce.com data structures.
  • Expertise with data visualization tools (Tableau, Power BI, Domo).
  • Advanced proficiency in SQL (senior analyst level).
  • Strong background in data analysis (R, SSRS preferred).
  • Demonstrated knowledge of modern B2B revenue operations models, processes, and technologies.
  • Excellent communication and project management skills with the ability to engage and influence senior leaders.

Preferred
  • Experience with Power BI, Tableau, or similar tools
  • Exposure to pricing, forecasting, or financial modeling
  • Experience in a fast-paced operations or service environment

What Conservice employees say

Pay

Benefits

Hours and flexibility

Workplace

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