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

Data Analytics Engineer

Ogden, UT

$112K - $134K/yr

Proficient in Python and SQL * Data warehousing and modeling, including dimensional and normalized models * Tableau or Power BI * Must have independent problem-solving skills and ability to develop ...

Proficient in SQL, Excel, and data visualization tools (e.g., Power BI, Tableau) * Experience working with databases, APIs, and large data sets * Strong analytical, problem-solving, and communication ...

Data Analytics Engineer

Ogden, UT · On-site

$112K - $134K/yr

Proficient in Python and SQL * Data warehousing and modeling, including dimensional and normalized models * Tableau or Power BI * Must have independent problem-solving skills and ability to develop ...

Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, Looker, Qlik or ... Preferred Skills Experience with forecasting models or statistical analysis tools (R, Python, SAS)

Strong proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, Looker, Qlik or ... Preferred Skills Experience with forecasting models or statistical analysis tools (R, Python, SAS)

Data Engineer

Sandy, UT · On-site

$108K - $130K/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 ...

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 ...

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 ...

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 ...

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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 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:
Data Analytics Engineer

$112K - $134K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Data Analyst Engineer to design, develop, and maintain scalable data solutions that support the bank’s Business Intelligence pipelines, modeling, and reporting. This role bridges data engineering, analytics, and business intelligence by transforming complex data into reliable, actionable intelligence and insights for strategic decision-making across the organization. The ideal candidate combines strong analytical skills with technical expertise in SQL, data modeling, Python pipelines, and visualization tools.

Essential Duties and Responsibilities:

  • Collect, clean, and analyze large datasets from multiple sources
  • Design and maintain data models, dashboards, and reporting systems
  • Develop and optimize SQL queries, ETL processes, and data pipelines
  • Collaborate with business stakeholders to understand reporting and analytics needs
  • Monitor data quality, integrity, and consistency across systems
  • Build automated reports and visualizations using BI tools
  • Identify trends, patterns, and opportunities through statistical analysis
  • Support decision-making with data-driven recommendations
  • Work with data engineers and software teams to improve data architecture
  • Document data definitions, workflows, and technical processes

Required education and experience:

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Statistics, or related field

  • 3+ years of experience in business intelligence, analytics engineering, or data engineering
  • Advanced SQL skills and experience working with large relational and cloud-based datasets
  • Proficiency in Python or another analytics/programming language
  • Understanding of data warehousing and data modeling concepts, including dimensional and normalized models
  • Experience with BI and visualization tools such as Power BI or Tableau
  • Strong analytical, communication, and problem-solving skills
  • Or an equivalent combination of education and experience that provides the required knowledge, skills, and abilities

Preferred education and experience:

 MSSQL and Python experience preferred

  • Experience with large scale streaming pipelines is a plus
  • Snowflake experience is a plus
  • Financial Services and Commercial Banking experience is a plus

Competencies:

 Proficient in Python and SQL

  • Data warehousing and modeling, including dimensional and normalized models
  • Tableau or Power BI
  • Must have independent problem-solving skills and ability to develop solutions to complex analytical/data modeling problems
  • Excellent verbal and written communication skills and the ability to interact professionally with a diverse group including executives, managers, and subject matter experts
  • Successfully engage in multiple initiatives simultaneously
  • Work successfully in a team environment using Agile Scrum methodologies
  • Willing to suggest improvements along with offering possible solutions

TAB Bank Offers:

  • Onsite Gym
  • Tuition Reimbursement
  • Paid Holidays
  • Gym Reimbursement
  • College Scholarships for Employees and Families
  • 401(k)
  • Paid Time Off (PTO)
  • Employee Assistance Program (EAP)
  • I Made the Grade
  • Holiday Club Program
  • Medical, Dental, Vision, Life and AD&D, Voluntary Disability, Flex Spending & Dependent Care

TAB Bank will not sponsor applicants for work visas.