ZipRecruiter

Log In

1

Business Analyst Sql R Python Jobs in Thornton, CO

Natural Grocers

Senior Marketing Analyst

Lakewood, CO · On-site

$80K/yr

Experience using R, Python, or equivalent statistical software. * Familiarity with Databricks ... Business Skills * Strong understanding of marketing measurement, customer behavior, and loyalty ...

Leidos

Imagery Scientist (OPIR)

Aurora, CO

$116K - $210K/yr

... ArcGIS, SDE, SQL/Oracle), scripting and analytics tools (Python/R, Tableau) Forward-leaning ... While subject to change based on business needs, Leidos reasonably anticipates that this job ...

Leidos

Imagery Scientist (OPIR)

Aurora, CO · On-site

$116K - $210K/yr

... ArcGIS, SDE, SQL/Oracle), scripting and analytics tools (Python/R, Tableau) Forward-leaning ... While subject to change based on business needs, Leidos reasonably anticipates that this job ...

Capital Rx

Technical QA Analyst II

Denver, CO · On-site

$95K - $119K/yr

... Business Analyst, or related role. * Proficiency in Python * Strong SQL experience; familiarity with SQLAlchemy is preferred. * Experience with logging and monitoring tools such as CloudWatch ...

Cymertek

Business Analyst (IT)

Aurora, CO · On-site

Familiarity with SQL * Data visualization tools * Experience with ERP systems * Business process ... analyst workforce development. At our company, you come first. We're committed to creating an ...

NuView Analytics

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

... business through their data. Salary: $80k-100K + bonus + benefits Location: 100% remote for US ... SQL Required * R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including ...

NuView Analytics

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

... a new perspective on their business through their data. Salary: $80k100K + bonus + benefits ... SQL Required * R or Python experience a plus * Tableau, PowerBI, or Looker Proficiency including ...

DaVita, Inc.

Director, People Analytics

Denver, CO · On-site

$115K - $183K/yr

Knack for quickly internalizing how business processes work and the role that people play within ... g., SQL, WorkDay, etc.) and statistical / machine learning programing (R, Python, etc.

Cymertek

Data Analyst

Aurora, CO · On-site

Knowledge of Python or R * Familiarity with machine learning * Understanding of ETL processes ... Business intelligence tools * Advanced statistical modeling PLUG IN to CYMERTEK - And design your ...

CEDENT

Sr. SQL Developer

Greenwood Village, CO · Hybrid

$40 - $60/hr

Analyzing Data to support their Internet & WiFi teams/ customers ? Required Skills & Experience: · ... o Shell o Python · AWS experience o Lambda o EC2 · Telecom Experience ? Day to Day ...

DaVita, Inc.

Sr. Manager, People Analytics

Denver, CO · On-site

$98K - $155K/yr

Knack for quickly internalizing how business processes work and the role that people play within ... g., SQL, WorkDay, etc.) and statistical / machine learning programing (R, Python, etc.

CFS

Business System Analyst

Denver, CO · On-site

$80K - $100K/yr

... and SQL expertise in a hands-on, real-world environment Key Responsibilities for the Business ... Systems Analyst: • Translate business needs into functional and technical requirements • ...

next page

Showing results 1-20

All JobsBusiness Analyst Sql R Python JobsBusiness Analyst Sql R Python Jobs in Thornton, CO

Business Analyst Sql R Python information

See Thornton, CO salary details

$18

$48

$73

How much do business analyst sql r python jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for business analyst sql r python in Thornton, CO is $48.50, according to ZipRecruiter salary data. Most workers in this role earn between $36.39 and $60.72 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

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

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What job categories do people searching Business Analyst Sql R Python jobs in Thornton, CO look for? The top searched job categories for Business Analyst Sql R Python jobs in Thornton, CO are:
What cities near Thornton, CO are hiring for Business Analyst Sql R Python jobs? Cities near Thornton, CO with the most Business Analyst Sql R Python job openings:
Business Analyst Sql R Python jobs near you
Senior Marketing Analyst

Senior Marketing Analyst

Natural Grocers

Lakewood, CO • On-site

$80K/yr

Full-time

Posted 13 days ago

Natural Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

25th of 120 rated grocery stores

Job description

Salary Range
USD $80,000.00/Yr. - USD $90,000.00/Yr.
Overview
The Job in a Nutshell:
The Senior Marketing Analyst is responsible for leading the measurement, analysis, and optimization of Natural Grocers' marketing initiatives, customer loyalty programs, digital experiences, and promotional strategies. This role partners closely with Marketing, Operations, Purchasing, E-Commerce, and Executive Leadership to transform data into actionable business insights that drive customer acquisition, retention, engagement, and sales growth.
The Senior Marketing Analyst serves as the primary analytics leader for the Marketing department and oversees the development of reporting frameworks, experimentation strategies, customer insights, forecasting models, and performance measurement systems. This role combines strategic thinking, advanced analytics, and strong business acumen to support data-driven decision making across the organization.
Applications are accepted by the date below, which may be updated if the hiring timeline is extended.
07/21/2026
Responsibilities
Main Ingredients:
  1. Analytics Leadership & Strategy
    1. Lead the development, maintenance and execution of marketing measurement strategies that evaluate campaign effectiveness, customer engagement, sales impact, and return on investment.
    2. Translate complex analytical findings into actionable recommendations for executive and cross-functional stakeholders.
    3. Identify customer, market, and competitive trends to uncover opportunities for growth and marketing innovation.
  1. Reporting & Insights
  2. Develop, automate, and maintain reporting systems and dashboards that provide timely, accurate, and actionable insight into marketing performance.
  3. Manage ad hoc analyses, executive requests, and strategic projects that support organizational priorities.
  4. Ensure data integrity through quality assurance processes, validation against source systems, and cross-functional collaboration with data owners.
  5. Advanced Analytics & Modeling
  6. Apply statistical and predictive modeling techniques to evaluate customer behavior, campaign performance, and business opportunities.
  7. Maintain and improve upon customer segmentation, targeting, retention, and loyalty analytics to improve customer engagement and lifetime value.
  8. Conduct analyses to identify drivers of customer acquisition, retention, churn, and store-level performance.
  9. Testing & Optimization
  10. Design, implement, and evaluate controlled experiments, A/B tests, and pilot programs to measure marketing effectiveness and incremental business impact.
  11. Develop testing frameworks and measurement standards to improve marketing ROI and support continuous optimization.
  12. Partner with stakeholders to implement data-driven recommendations and monitor results.
  13. Loyalty & Digital Experience
  14. Lead analytics and reporting for the {N}power Rewards Program, including monthly reports on customer behavior, engagement, promotional effectiveness, and program performance.
  15. Develop measurement strategies to optimize the Natural Grocers mobile application, digital communications, and customer engagement initiatives.
  16. Evaluate promotional pricing, loyalty offers, and personalization strategies to maximize customer value and business performance.
  17. Leadership & Collaboration
  18. Serve as the marketing analytics subject matter expert and educate stakeholders on analytical best practices.
  19. Mentor analysts and support the development of analytical capabilities across the organization.
  20. Collaborate with analytics, marketing, operations, purchasing, and technology teams to establish scalable data solutions and business intelligence initiatives.

Although this is a general outline of job responsibilities all employees are expected to be "hands on" and do whatever it takes to get the job done and make the company thrive.
Qualifications
Recipe for Success:
  1. Education & Experience
  1. Bachelor's degree in Statistics, Analytics, Data Science, Marketing, Business, or related discipline.
  2. 5+ years of experience in analytics, marketing analytics, business intelligence, or related fields.
  3. Experience in retail, loyalty, e-commerce, or customer analytics preferred.
  4. Technical Skills
  5. SQL proficiency.
  6. Experience with Power BI, Tableau, or equivalent visualization platforms.
  7. Experience using R, Python, or equivalent statistical software.
  8. Familiarity with Databricks, cloud analytics environments, or modern data platforms.
  9. Knowledge of statistical testing, experimentation, forecasting, predictive modeling, and causal inference methodologies.
  10. Business Skills
  11. Strong understanding of marketing measurement, customer behavior, and loyalty programs.
  12. Exceptional analytical problem-solving capabilities.
  13. Ability to communicate complex findings to both technical and non-technical audiences.
  14. Proven ability to manage multiple projects and priorities in a fast-paced environment.
  15. Strong stakeholder management and executive presentation skills.

This job description is not an employment contract. It does not guarantee a job or that the above listed duties are the limit of responsibilities. The job and job description are subject to change with and without notice. Employees are required to accomplish any and all tasks assigned to them by their Manager and/or other Store Support Center manager that might not be listed in this job description.
Physical and Environmental Demands:
N = Never
O = Occasional; 1-33% of time
F = Frequent; 34-66% of time
C = Constant; 67-100% of time
Physical Requirements:
  • Must have the ability to frequently lift or carry up to 10 lbs and occasionally lift or carry up to 50 lbs.
  • Must be able to frequently drive automatic.
  • Must have the ability to occasionally push or pull up to 50 lbs.
  • Must be able to constantly use the computer for data entry and use of mouse.
  • Must be able to constantly use fine motor manipulations and reach outward for the duration of the work shift.
  • Must be able to frequently walk, stand, grip, bend, twist, and turn.
  • Must be able to occasionally sit, squat, kneel, and reach outward as needed.

Environmental Requirements:
  • Must be able to work occasionally with outside, cold, heat, wet, humid, noise, sharp tools/equipment, contact stress, chemicals, dust fumes, vibration and congested worksite.

What Natural Grocers employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply