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Data Analyst Python Sql Jobs in Boulder, CO (NOW HIRING)

Artifact Uprising

Senior Data Analyst

Denver, CO · On-site

$80K - $100K/yr

Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and ... Python or R for statistical modeling, simulation, or automation * Background in customer ...

Sand Cherry Associates

Data Analyst

Denver, CO

$90K - $110K/yr

The Data Analyst will partner closely with management and stakeholders to clearly define problems ... This role is responsible for using Alteryx, SQL, Excel, and Tableau to turn complex data into clear ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Key Responsibilities: * Analyze structured and unstructured data with Python and SQL . * Build and validate predictive models. * Communicate insights to stakeholders through reports and ...

Averna

AI Savvy Data Analyst

Denver, CO · On-site

Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis, including experience with the PyData stack ...

Averna

AI Savvy Data Analyst

Denver, CO · On-site +1

Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis, including experience with the PyData stack ...

Averna

AI Savvy Data Analyst

Denver, CO

Advanced proficiency in SQL with strong understanding of data modeling and normalization best practices. * Proficiency in Python (or R) for data analysis, including experience with the PyData stack ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

The Data Analyst will partner closely with management and stakeholders to clearly define problems ... This role is responsible for using Alteryx, SQL, Excel, and Tableau to turn complex data into clear ...

Sand Cherry Associates

Data Analyst

Denver, CO · On-site

$90K - $110K/yr

The Data Analyst will partner closely with management and stakeholders to clearly define problems ... This role is responsible for using Alteryx, SQL, Excel, and Tableau to turn complex data into clear ...

HAYS

Sr Data Analyst

Denver, CO · On-site

$70 - $80/hr

Skills & Requirements SQL experience Required Perform queries and write jobs. Screen candidates ... Good to have skills in Python, Bash, or C++. CS Degree preferred but not required Support APVS ...

kgs

Data Analyst

Denver, CO

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI * Knowledge ...

kgs

Data Analyst

Denver, CO

Compile, prepare, and analyze quantitative data using Excel, Python, R, and other analytical tools ... SQL, GIS, Data Visualizations, Survey Methodology or Implementation, application of AI * Knowledge ...

nLeague

Data Analyst

Denver, CO · On-site

Support Oracle databases used by ETL and reporting systems. * Assist with analysis and troubleshooting of SQL and stored procedures. * Validate data transformations and outputs, particularly for ...

CU Medicine

Epic Clarity Data Analyst

Aurora, CO · On-site

$90K - $100K/yr

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

cumed

Epic Clarity Data Analyst

Boulder, CO · On-site +1

Must demonstrate intermediate-advanced SQL Proficiency; experience using STATA or similar data science tool/language (Python or R) is helpful. Strong analytical competency with the ability to collect ...

JLL

Senior Data Analyst

Boulder, CO · On-site

$89K - $112K/yr

We are seeking a talented professional to join us as a Data Analyst to develop and deliver data ... Proficient in SQL (any dialect), R and Python * Expertise with spreadsheet-based tools like Google ...

Jones Lang LaSalle IP, Inc.

Senior Data Analyst

Boulder, CO · On-site

$89K - $112K/yr

We are seeking a talented professional to join us as a Data Analyst to develop and deliver data ... Proficient in SQL (any dialect), R and Python * Expertise with spreadsheet-based tools like Google ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Boulder, CO

Data Analyst Python Sql information

See Boulder, CO salary details

$35.3K

$85.7K

$141K

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

As of Jun 27, 2026, the average yearly pay for data analyst python sql in Boulder, CO is $85,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,800.00 and $100,600.00 per year, depending on experience, location, and employer.

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 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.

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 Boulder, CO? For Data Analyst Python Sql jobs in Boulder, CO, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Boulder, CO look for? The top searched job categories for Data Analyst Python Sql jobs in Boulder, CO are:
What cities near Boulder, CO are hiring for Data Analyst Python Sql jobs? Cities near Boulder, CO 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 Boulder, CO as of June 2026, with employment types broken down into 2% Internship, 81% Full Time, 13% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $85,706 per year, or $41.2 per hour.
Senior Data Analyst

Senior Data Analyst

Artifact Uprising

Denver, CO • On-site

$80K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty analytics function. This is a role for someone who loves rolling up their sleeves, building dashboards that actually get used, writing SQL to answer real business questions, and digging into messy data until it makes sense.
You'll work across Marketing, Merchandising, Product, Operations, CX, and Finance to help teams understand what the data is telling them. You won't have direct reports, but you'll have real ownership and high visibility. If you're comfortable doing the foundational work of a great data organization and excited about growing into more strategic responsibilities over time, this role is for you.
Job Responsibilities
Hands-On Analytical Work
  • Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and promotional impact; perform acquisition, LTV, retention, and customer journey analysis that connects to business action
  • Design and evaluate A/B tests, apply significance testing, and translate complex analysis into clear, concise data stories that non-technical stakeholders can act on
  • Contribute to data models that support ongoing and ad hoc analysis

Reporting & Dashboard Development
  • Build and maintain accurate, well-documented Looker dashboards tightly aligned with how teams make decisions; reduce dashboard sprawl and enforce consistent metric definitions across the org
  • Proactively surface trends, anomalies, and emerging opportunities through ongoing monitoring; maintain data quality standards and flag upstream issues to data engineering

Cross-Functional Partnership
  • Serve as a reliable analytics partner to Marketing, Merchandising, Product, Operations, CX, and Finance
  • Help stakeholders understand what they can self-serve (Looker, Heap) versus what needs analytical support; shape vague requests into well-scoped analyses with clear tradeoffs and sequencing
  • Partner with product and engineering to define what data should be instrumented based on the questions that matter most

Qualifications
Required
  • 5+ years of experience in an analytics function with strong problem-solving skills
  • Advanced SQL, window functions, CTEs, complex joins, and the ability to debug unexpected results by tracing them back to the data model; working knowledge of data warehousing, relational databases, and dimensional modeling
  • E-commerce experience
  • Proficiency in a modern BI tool (Looker strongly preferred; Tableau or Power BI acceptable), including building and maintaining the semantic layer
  • Statistical rigor: able to distinguish correlation from causation, design and evaluate A/B tests, and communicate findings clearly to non-technical audiences
  • Collaborative and curious, experienced in navigating competing priorities, turning ambiguous asks into clear deliverables, and partnering across multiple teams with a growth mindset
  • BS in a quantitative discipline (mathematics, statistics, computer science) or equivalent experience

Preferred
  • Experience with Snowflake, dbt, and LookML; familiarity with product analytics tools (Heap, Amplitude, Mixpanel) or event collection platforms (Segment)
  • Python or R for statistical modeling, simulation, or automation
  • Background in customer segmentation, lifecycle analysis, and marketing attribution.

$80,000 - $100,000 a year
The final salary is commensurate with experience, skills, and organizational equity considerations.
Artifact Uprising® is a Colorado-based company that creates premium quality, customizable photo goods for your digital photos. Driven by the mission to empower people to tell their stories effortlessly, beautifully and often, the company is known for elevated design and thoughtfully sourced materials. Signature products include the Layflat Album touting ultra-thick pages and foil-stamped covers, textured matte Everyday Prints, and a line of customizable frames.
Artifact Uprising was recently named on the Built In Colorado's 2024 Best Places to Work list. We are a tight-knit team who works with some of the latest technology to delight and inspire our customers.
Job Perks
Industry leading health, vision and dental insurance for families (Plans cover 100% for employees and up to 95% for dependents), flexible vacation policy, Gym partnership with ClassPass, 401(k) matching plan, Year-End Company Bonus Plan.
Why Artifact Uprising?
Creative Freedom We value the creative process and look to our employees to speak into Artifact Uprising products, identity and approach - regardless of position or title. We look for driven people who demonstrate initiative to take the company to the next level.
The Working Life
We strive to create a workplace where everyone works hard but also has the flexibility and balance to enjoy life outside of the office.
It Won't Be Boring
We are a small company with big ideas - and we recognize it will take every last one of us to reinvent the way brands approach business. We believe a good workplace empowers its team to rise to new challenges, expand their skill sets and think outside of the box. Through this, we foster a company culture that is always growing, always reaching, and always looking to see things differently.
Interested in this position?
Tell us why you want to work at Artifact Uprising and what we should know about you.
Artifact Uprising is an Equal Employment Opportunity (EEO) employer. We do not discriminate based upon race, color, sexual orientation, gender identity, religion, national origin, age, disability, or veteran status.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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