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

Data Engineer

Draper, UT

$107K - $128.50K/yr

The Data Engineer will take a prominent role in leading full stack development projects ... SQL Queries and database analysis for good performance. Experience working with python or Scala ...

New

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... SQL; experience with Python; experience with PySpark; experience with Statistical Analysis ...

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... SQL; experience with Python; experience with PySpark; experience with Statistical Analysis ...

Swire Pacific Holdings, Inc. DBA Swire Coca-Cola, USA seeks a Data Scientist to conduct data ... SQL; experience with Python; experience with PySpark; experience with Statistical Analysis ...

Data Analyst / ETL Tester Location: Midvale, UT Duration: Fulltime Salary Range - $110,000 - $115 ... dvanced SQL experience; ability to build basic queries to profile and validate data. * Strong ...

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

Data Engineer

Draper, UT · On-site

$107K - $128.50K/yr

Collaborate with analysts and data scientists to create value from data and build the production ... Snowflake/ SQL experience required * Programming- (Python/Scala/Java/VB and etc) required, Python ...

Data Engineer

Draper, UT

$107K - $128.50K/yr

Collaborate with analysts and data scientists to create value from data and build the production ... Snowflake/ SQL experience required * Programming- (Python/Scala/Java/VB and etc) required, Python ...

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Data Analyst Python Sql information

See Orem, UT salary details

$29.6K

$71.8K

$118.2K

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

As of May 29, 2026, the average yearly pay for data analyst python sql in Orem, UT is $71,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,300.00 per year, depending on experience, location, and employer.

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.

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.

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 Orem, UT? For Data Analyst Python Sql jobs in Orem, UT, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Orem, UT look for? The top searched job categories for Data Analyst Python Sql jobs in Orem, UT are:
What cities near Orem, UT are hiring for Data Analyst Python Sql jobs? Cities near Orem, UT with the most Data Analyst Python Sql job openings:
Data Engineer

$107K - $128.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 hours ago


Bread Financial rating

7.8

Company rating: 7.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Every career journey is personal. That's why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here.

Job Summary

The Data Engineer will be responsible for evolving data infrastructure and data analytics capabilities. This role will build high quality, architecturally-sound systems that will transform ways to take advantage of data. This includes data infrastructure and pipelines to support analytics and product, as well as data science team. The Data Engineer will take ownership of a variety of areas in the data stack and lead the team forward. This role will be impactful on the direction of the organization and be a part of building infrastructure from the ground up.
The Data Engineer will take a prominent role in leading full stack development projects, collaborating with cross-functional teams to design, develop, and implement software solutions and API interfaces. Leverage your growing expertise to ensure seamless integration and optimal performance throughout the software development lifecycle (SDLC).


Essential Job Functions

  • Collaborates with internal/external stakeholders to manage data logistics - including data specifications, transfers, structures, and rules. Collaborates with business users, business analysts and technical architects in transforming business requirements into analytical workbenches, tools and dashboards reflecting usability best practices and current design trends. - (15%)
  • Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team. Accesses, extracts, and transforms Credit and Retail data from a variety of sources of all sizes (including client marketing databases, 2ndand 3rdparty data) using Hadoop, Spark, SQL, Big data technologies etc. - (15%)
  • Provides automation help to analytical teams around data centric needs using orchestration tools, SQL and possibly other big data/cloud solutions for efficiency improvement. - (10%)
  • Supports Data Engineer and Sr. Data Engineer in new analytical proof of concepts and tool exploration projects. Effectively manages time and computing resources in order to deliver on time/correctly on concurrent projects. Involved in creating POCs to ingest and process streaming data using Spark and HDFS. - (10%)
  • Answers and trouble shoots questions about data sets and analytical tools; Develops, maintains and enhances new and existing analytics tools/Frameworks to support internal customers/consumers. Design, develop and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources. - (10%)
  • Create automation systems and tools to configure, monitor, and orchestrate our data infrastructure and our data pipelines. Ingests data from different sources, processes it according to the requirement document in order to store data to Hive or NoSQL database or different warehousing solutions. Involved in HDFS maintenance, and loading of structured and unstructured data. - (10%)
  • Develop and manage scalable ETL pipelines to integrate data from diverse sources into the organization's data systems, ensuring high performance and reliability. Create efficient data pipelines using tools like Azure Data Factory, Databricks, and AWS, focusing on data quality, integrity, and timely delivery to all data users. - (10%)
  • Participate in Agile/Lean methodologies and DevOps practices to ensure seamless integration and deployment of data solutions. Assist in designing and maintaining data infrastructure, including Snowflake and other cloud-based solutions, adhering to best practices and enterprise architecture guidelines. - (10%)
  • Expert in writing complicated SQL Queries and database analysis for good performance. Experience working with python or Scala, Spark, Hadoop, Hive, Oozie, Sqoop, HDFS, Impala, Shell Scripts, Microsoft Azure Services like ADLS/Blob Storage solutions, Azure DataFactory, Azure Functions and Databricks. Utilizes basic knowledge of Rest API for designing networked applications. - (10%)


Minimum Qualifications

  • Bachelor's Degree in Computer Science or Engineering; or equivalent technical training and experience.
  • 2+ years of experience in Data & Analytics.
  • 2+ years of experienced and proficient with Python, Scala or Java coding.
  • 2+ years of experience and proficient in writing complex SQL with Redshift, Postgre SQL and Columnar Databases.


Preferred Qualifications

  • Master's Degree in Computer Science, Computer Engineering, IT or another related field of study.
  • 5+ years of experience in Data & Analytics.
  • Experience with message-based, loosely coupled architectures like Kafka. Experience with basic DevOps. Experience with analytics platforms like Looker or Tableau.
  • Experience developing systems intended for cloud deployments (AWS, EKS, lambda's, etc.).


Skills

  • Agile Methodology
  • Angular
  • Apache Hadoop
  • AWS Development
  • Big Data
  • Cloudera Data Platform (CDP)
  • Cloudera Impala
  • Full Stack Development
  • HBase
  • Java
  • JavaScript
  • Linux Shell Scripting
  • Microsoft Azure SQL
  • NoSQL
  • PySpark
  • Python (Programming Language)
  • React
  • Scala (Programming Language)
  • Spark SQL
  • Structured Query Language (SQL)


Reports To: Manager and above
Direct Reports: 0
Work Environment

  • Normal office environment. (Remote or Hybrid), 3 to 4 days per month are required in office if within 60 miles of a posted Bread Financial location.


Travel

  • Ability to travel up to 10% annually


Physical and Mental Requirements
To perform this job successfully, an individual must be able to perform each essential job function satisfactorily and meet the physical, mental and work environment requirements. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform essential job functions, absent undue hardship.

  • Communicate/Hearing
  • Communicate/Talking
  • Typing/Writing
  • Maintain focus in high pressure or fast-paced work environment

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

Salary Range (unless otherwise noted below):

$87,900.00 - $159,200.00

Full Salary Range for position:

California: $101,000.00 - $198,900.00Colorado: $87,900.00 - $167,100.00New York: $96,600.00 - $198,900.00Washington: $92,200.00 - $183,000.00Maryland: $92,200.00 - $175,100.00Washington DC: $101,000.00 - $183,000.00Illinois: $87,900.00 - $175,100.00New Jersey: $101,000.00 - $183,000.00Vermont: $87,900.00 - $159,200.00Ohio: $87,900.00 - $159,200.00Maine: $87,900.00 - $159,200.00

The actual base pay within this range may be dependent upon many factors, which may include, but are not limited to, work location, education, experience, and skills.

Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability) to eligible associates (regular full-time associates scheduled to work 30 hours per week or more) and their spouses/domestic partners, and child(ren) under the age of 26. New associate elected coverage begins on date of hire (with the exception of disability coverage which has a 6-month waiting period). Six weeks of 100% paid parental leave for eligible parents is available after a 180-day waiting period. Hired associates can immediately enroll in Bread Financial's 401(k) plan.

All associates receive 11 paid holidays. Associates have discretion in managing their time away from work through the Flexible Time Off (FTO) program and may need to notify and receive approval from their manager prior to taking the time off. Associates (except those located in Illinois) receive 80 hours of Paid Sick and Safe Time ("PSST") upon hire and at the beginning of each subsequent calendar year. Illinois associates receive 40 hours of Illinois PSST upon hire and at the beginning of each subsequent calendar year and 40 hours of Illinois Paid Leave upon hire and at the beginning of each subsequent calendar year. Illinois Paid Leave must be used before associates in Illinois will be approved to take FTO.

Hired associates will be able to elect the purchase company stock during offering periods in June and December. You will be eligible for an annual incentive bonus based on individual and company performance.

Click here for more Benefits information.

About Bread Financial

At Bread Financial, you'll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We've been consistently recognized as a best place to work nationally and in many markets and we're proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled-both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.

Bread Financial(NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers.Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through ourco-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers.Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life.

Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress,visit breadfinancial.comor follow us on Instagram and LinkedIn.

  • Bread Financial offers competitive pay, a comprehensive selection of benefit options including 401(k).

  • The Company is an Equal Opportunity Employer.

  • Any applicant offered employment will be required to establish that they are legally authorized to work in the United States for the Company.

  • The Company participates in E-Verify.

  • The Company will consider for employment all qualified applicants, including those with a criminal history, in a manner consistent with the requirements of all applicable federal, state, and local laws, including the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York City Fair Chance Act. Applicants with criminal histories are encouraged to apply.

  • The Company complies with the Americans with Disabilities Act (ADA), as amended, and all applicable state/local laws. The Company will provide accommodations to applicants needing accommodations to complete the application process. Applicants with disabilities may contact the Company to request and arrange for accommodations. If you need assistance to accommodate a disability, you may request an accommodation at any time. Please contact the Recruiting Team at TaOps@breadfinancial.com.

Job Family:

Information Technology

Job Type:

Regular

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