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Data Analyst Python Sql Jobs in Logan, UT (NOW HIRING)

Conservice

Data & Business Analyst

River Heights, UT · On-site

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 ...

Danaher

Digital Analyst Internships

Logan, UT · On-site

$85K - $100K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

FocusKPI

Marketing Operations Analyst

Logan, UT · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Varsity Tutors

SQL Tutor

Logan, UT · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Varsity Tutors

Data Analysis Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Audiohook

Data Scientist

Eden, UT · On-site +1

Instrument experiments and analyses for reproducibility, monitoring, and ongoing measurement ... Strong fluency in Python (pandas, statsmodels, scikit-learn, PyMC, or similar) and SQL * Solid ...

Varsity Tutors

Data Science Tutor

Logan, UT · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Aperia Technologies

Solutions Engineer, Remote

Logan, UT · On-site

$120K - $140K/yr

Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success. * Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.

Lantern

Strategy Analyst

Logan, UT · On-site

Job Overview The Strategy Analyst / Associate is a high-visibility, hands-on, and dynamic role ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

Conservice

Deal Desk Analyst 1

Logan, UT · On-site

$17.75 - $24/hr

Capture data from new incoming contracts for future reporting and analysis * Monitor fee and ... Familiarity with SFDC, SQL, and/or PowerBI are a plus * Solid understanding of Conservice ...

Conservice

Deal Desk Analyst 1

River Heights, UT

$17.75 - $24/hr

Capture data from new incoming contracts for future reporting and analysis * Monitor fee and ... Familiarity with SFDC, SQL, and/or PowerBI are a plus * Solid understanding of Conservice ...

EverCommerce

Analyst, Growth

Logan, UT · On-site

$75K - $85K/yr

Analyze internal and external data to identify trends, risks, and opportunities * Support financial ... Familiarity with BI tools (e.g., Tableau, Looker) or basic SQL * Exposure to strategic planning ...

Reli Group Inc

Power BI Intern

Logan, UT · On-site

$15/hr

... Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including DAX and Power Query. * Familiarity with Excel and basic SQL.

Spartronics LLC

Electrical Engineer

Logan, UT · On-site

Monitor and analyze test yields, defect data, and trends to drive continuous improvement ... Programming experience in Python, C/C++, Visual Basic, or similar languages. * Strong understanding ...

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Data Analyst Python Sql information

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$29.3K

$71.3K

$117.3K

How much do data analyst python sql jobs pay per year?

As of Jul 10, 2026, the average yearly pay for data analyst python sql in Logan, UT is $71,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $83,700.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

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

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Logan, UT? For Data Analyst Python Sql jobs in Logan, UT, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Logan, UT look for? The top searched job categories for Data Analyst Python Sql jobs in Logan, UT are:
What cities near Logan, UT are hiring for Data Analyst Python Sql jobs? Cities near Logan, UT with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Logan, UT as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $71,285 per year, or $34.3 per hour.
Data & Business Analyst

Data & Business Analyst

Conservice

River Heights, UT • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.

Conservice rating

7.4

Company rating: 7.4 out of 10

Based on 59 frontline employees who took The Breakroom Quiz

35th of 50 rated energy and utility

Job description

About Conservice:
Conservice is a fast-growing leader in utility management services, committed to enhancing operational efficiency and driving business intelligence through data. We are seeking a dynamic and experienced Business Analyst to join our analytics team. This individual will play a critical role in delivering data-driven insights at scale, partnering with departments across the organization to support strategic decision-making.

Why This Role Matters:

You'll work directly with senior leadership - including the COO, SVPs, and VPs - to deliver high-impact insights. Your analysis will influence decision-making across multiple business functions and help improve operational efficiency and financial performance.

Key Responsibilities:

  • Analyze large, complex data sets (tens of millions of rows) and deliver actionable insights across multiple business departments.
  • 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, accuracy, and impact.
  • Collaborate cross-functionally with multiple departments to ensure robust data modeling and consistency.
  • Uphold standards for data integrity, analytics methodologies, and business insight communication.
  • Translate complex data findings into executive summaries and strategic recommendations.
  • Drive innovation in analytics tools and techniques - including AI - to keep Conservice at the forefront of data excellence.

What We're Looking For:

  • Strong critical and creative thinking skills - able to identify the right questions, push past surface-level findings, and deliver analysis that drives real decisions.
  • Strong proficiency in SQL with experience querying large-scale databases.
  • Hands-on experience with Python and/or R for data analysis and statistical modeling.
  • Experience with Power BI for data visualization and dashboard development.
  • Familiarity with AI tools and their application in data analytics workflows.
  • Demonstrated ability to extract meaningful insights from big data across diverse business domains.
  • Strong communication skills with the ability to translate complex data into clear business recommendations for senior stakeholders.
  • Ability to collaborate effectively across multiple departments and functions.
  • Strong organizational skills, attention to detail, and a bias for action.

What's in It for You?

  • High visibility with executive leadership and direct impact on enterprise strategy.
  • A leadership role in a company that values innovation, collaboration, and growth.
  • Opportunities for professional development in a fast-growing industry.
  • A chance to drive the future of data-driven decision-making at Conservice.

What Conservice employees say

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