ZipRecruiter

Log In

1

Data Analyst Python Sql Jobs in Utah (NOW HIRING)

Awardco

Lead Data Scientist

Lindon, UT · On-site

Preferred : • Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. • Advanced experience analyzing data from ...

Brady Corporation

Jr. Data Analyst

Salt Lake City, UT · On-site

This is an ideal role for an analytical professional looking to grow their skills in SQL, Tableau ... Data Validation: Review and validate Point of Sale (POS) data and booking reports to ensure all ...

Tendo

Principal Data Scientist

Salt Lake City, UT · On-site +1

$131.75K - $178.25K/yr

... analysis software, with data science experience preferred. * 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. * Track record of applying AI or ML models to solve ...

Tendo

Principal Data Scientist

Salt Lake City, UT

$131.75K - $178.25K/yr

... analysis software, with data science experience preferred. * 7+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. * Track record of applying AI or ML models to solve ...

Danaher

Digital Analyst Internships

Salt Lake City, UT

$95.30K - $112.70K/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 ...

Danaher

Digital Analyst Internships

Orem, UT

$85.60K - $101.30K/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 ...

Danaher

Digital Analyst Internships

Ogden, UT

$96.40K - $114.10K/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 ...

Danaher

Digital Analyst Internships

Logan, UT

$85K - $100.50K/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 ...

Danaher

Digital Analyst Internships

West Jordan, UT

$92K - $108.80K/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 ...

Neighbor

Senior Data Analyst

Lehi, UT · On-site

$80.70K - $101.80K/yr

As a Senior Data Analyst, you are an independent driver and architect, entrusted with solving ... Beyond SQL, you will build and maintain robust ETL/ELT pipelines and deploy predictive models to ...

Collective Health

Data & Reporting Analyst

Lehi, UT · On-site

$84.48K - $105.60K/yr

SQL Knowledge: Write efficient SQL queries to retrieve and analyze data from various databases/data sources, ensuring data accuracy and reliability. * Data Modeling: Implement efficient Looker LookML ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site

$110.50K - $149.50K/yr

... analysis software, with data science experience preferred. * 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. * Track record of applying AI or ML models to solve ...

Tendo

Senior Data Scientist

Salt Lake City, UT · On-site +1

$110.50K - $149.50K/yr

... analysis software, with data science experience preferred. * 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. * Track record of applying AI or ML models to solve ...

Paychex

Data Engineer

Salt Lake City, UT · On-site

$99.60K - $156.50K/yr

Overview Source, extract, and manipulate large data sets to serve Business Analytics, Machine ... Python (Programming Language) - Preferred * SQL (Programming Language) - Preferred * Extract ...

BambooHR

Sr. Data Engineer

Draper, UT

$107K - $128.50K/yr

Collaborate with data analysts, data scientists, ML engineers, software engineers, and business ... Strong Python development experience * Advanced SQL development and query optimization skills

Awardco

Lead Data Scientist

Lindon, UT

Advanced experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. * Advanced experience analyzing data from 3rd party ...

next page

Showing results 1-20

People also search for

All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Utah

Data Analyst Python Sql information

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 Utah? For Data Analyst Python Sql jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Utah look for? The top searched job categories for Data Analyst Python Sql jobs in Utah are:
What cities in Utah are hiring for Data Analyst Python Sql jobs? Cities in Utah 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 Utah as of May 2026, with employment types broken down into 5% As Needed, 57% Full Time, 8% Part Time, 28% Contract, and 2% Nights. Highlights an 67% Physical, 11% Hybrid, and 22% Remote job distribution.

Senior Data Analyst - Fraud Strategy & Operations

Raisin

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Raisin is the world's leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a diversified form of refinancing. Our vision is to offer savings and investments without barriers and thus open up the global 160 trillion euro market.
Raisin currently employs more than 800 people from over 75 countries worldwide. Today, the platform holds over 80 billion euros in assets from more than one million investors which have accrued over 5 billion euros in returns.
Team
The Risk and Fraud Operations team plays a central role in safeguarding Raisin's business by monitoring, assessing, and mitigating risks across all operational areas. We are responsible for managing fraud prevention, detection and mitigation, investigations and recoveries, monitoring for financial crime events (AML, KYC) and implementing effective risk controls to support the company's growth. Our work bridges business, compliance, and technology-analyzing data, processes, and transactions to identify potential threats while also enabling smooth and secure customer experiences.
We collaborate closely with cross-functional teams (Product, Compliance, Customer Service, and Engineering) to design and execute risk and fraud management frameworks, enhance operational efficiency, and maintain a strong culture of accountability.
Your ResponsibilitiesAs the Senior Data Analyst - Fraud Strategy & Operations, you will be the driving force behind our fraud defense system. We are looking for a proven analytical mind from the financial services sector who can challenge our current thinking, build predictive fraud models, redesign existing fraud models, framework and processes. Using SQL, Python/R Ecosystems, Feature Engineering, you will dissect fraud trends, build predictive models from scratch, and implement sharp, real-time rules to prevent and detect fraud across our payment rails.
This role reports to the Head of Risk and Fraud Operations and requires a highly capable and entrepreneurial individual who can balance deep technical hands-on execution with high-level strategy.
  • Advanced Fraud Strategy & Analytics- Uncover Trends: Conduct complex data analysis using SQL, Python and Feature Engineering to proactively identify emerging fraud patterns and system vulnerabilities before they impact the platform.
    - Deploy Fraud Rules: Design, test, and implement robust fraud prevention rules that successfully catch bad actors while maintaining a seamless experience for real customers.
    - Drive Strategy: Elevate Raisin US's capabilities by introducing industry best practices, new methodologies, and innovative fraud prevention strategies that we aren't using today.
    - KPIs & Dashboards: Build out data-driven dashboards to track fraud metrics, losses, and mitigation performance, presenting actionable findings directly to leadership.
  • Model Development & Maintenance- Build Predictive Models: Design, build, and deploy machine learning and predictive models utilizing Python to detect anomalies across the entire customer journey (onboarding, funding, and money movement).
    - Feature Engineering: Develop model features based on identity, device, behavioral, and transactional data.
    - Cross-Functional Delivery: Partner closely with Product and Engineering to integrate these models into our real-time production pipelines.
  • AML & Financial Crime Collaboration- Risk Profiling: Partner with the Compliance team to enhance customer risk profiling, transaction monitoring, and KYC/AML workflows.
    - Design low-friction, custom risk rules for identity verification, account takeover protection, and transaction monitoring.
    - Continuous Back-Testing: Routinely stress-test current rules against changing regulatory standards and evolving financial crime tactics.

Your Profile
  • Financial Services Background: 8+ years of experience in fraud risk management, analytics, or financial crime specifically within fintech, retail banking, or digital payments.
  • Master of Analytics: Exceptional analytical capabilities are your biggest asset. You love diving into raw data to solve complex puzzles.
  • Technical Stack: Highly proficient in SQL and Python for data manipulation, analytics, and building predictive models. Experience building out fraud dashboards is a must.
  • Payment System Domain Expertise: Deep understanding of Deposits and ACH is required; direct experience with modern instant payment systems like RTP and FedNow is highly preferred.
  • Rule & Model Builder: Proven track record of designing custom fraud rules and deploying machine learning or statistical models in a live environment.

Join our mission, join our team - and grow with us!
At Raisin, we care about each other and it is one of our top priorities to foster an open and caring environment in which everyone feels welcome and comfortable. Our culture is strongly driven by our ambitious team, which connects more than 75 different nationalities.
As part of our team, you will benefit from:
  • Flexible working hours and up to 28 days PTO accrued from your first month, plus 13 public holidays.
  • Employee Development Budget of $2,200 and 4 full training days per year.
  • Company 401k contribution of 5%.
  • Healthcare coverage contribution, including medical, dental and vision.
  • Commuter benefits and flexible working from home policy.
  • Regular team events and yearly Summer and Winter Party.

Salary Range
$120,000-$140,000 USD
Raisin Applicant Privacy Policy
We value diversity and the unique experiences each individual brings. If you're excited about this role but don't meet every requirement, we still encourage you to apply.
We are an equal opportunity employer and are committed to creating an inclusive environment for everyone, regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Apply