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Python Data Analyst Jobs in Albuquerque, NM (NOW HIRING)

MJK Connections LLC

Senior Retail Analyst

Albuquerque, NM · On-site

$85K - $112K/yr

Solid understanding of programming languages such as Python or R for data analysis. * Proficient in digital advertising analytics tools, including GA4, Google AdWords, Google Tag Manager, social ...

Danaher

Digital Analyst Internships

Albuquerque, NM

$95K - $112K/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

Albuquerque, NM · On-site

$95K - $112K/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

Albuquerque, NM · On-site

Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau * Strong analytical and problem-solving skills with the ...

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton

Data Engineer

Albuquerque, NM · On-site

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton, Inc.

Data Engineer

Albuquerque, NM · On-site +1

$111K - $133K/yr

Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists ... using Python for data processing and automation * 1+ years of experience with cloud services

Booz Allen Hamilton, Inc.

Data Scientist

Albuquerque, NM · On-site +1

$99K - $225K/yr

You Have : * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with Python and analytics packages * 5+ years of ...

Booz Allen Hamilton

Data Scientist

Albuquerque, NM · On-site

$99K - $225K/yr

You Have : * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with Python and analytics packages * 5+ years of ...

Booz Allen Hamilton, Inc.

Data Scientist

Albuquerque, NM · On-site

$99K - $225K/yr

You Have : * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with Python and analytics packages * 5+ years of ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Albuquerque, NM

Python Data Analyst information

See Albuquerque, NM salary details

$33K

$80.1K

$131.8K

How much do python data analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python data analyst in Albuquerque, NM is $80,105.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

What does a Python data analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

What does a Python data analyst do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

What are the key skills and qualifications needed to thrive as a Python data analyst, and why are they important?

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

How do Python data analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

Is Python good for data analysts?

Python is widely used by data analysts due to its simplicity, extensive libraries like pandas and NumPy, and strong community support. It enables efficient data manipulation, analysis, and visualization, making it a valuable skill for the role.
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Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Albuquerque, NM as of September 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $80,105 per year, or $38.5 per hour.

Senior Retail Analyst

Albuquerque, NM • On-site

MJK Connections LLC
Recruiting and Staffing Services • 1 - 10 employees
Learn more about MJK Connections LLCexternal

$85K - $112K/yr

Full-time

Posted 13 days ago

Job description

This position plays a pivotal role in empowering the Retail division with actionable insights and process improvements that drive operational excellence, elevate member experiences, and fuel sustainable growth. By analyzing member behavior, operational workflows, and performance data, this role uncovers opportunities to optimize efficiency, reduce friction, and strengthen loyalty across the branch and contact center network. The Retail Analyst partners closely with leaders and frontline teams to translate insights into strategies, streamline processes, and ensure the successful implementation and adoption of improvements.

Essential Functions

Process Analyst Responsibilities

  • Analyze inefficient processes, design streamlined workflows and improve processing times to enhance the member experience and boost efficiency.
  • Recommend process improvements and craft data-driven solutions that streamline workflows, improve processing times, and reduce member friction.
  • Evaluate and update job aids and procedures for efficiencies, based on data analysis and member feedback.
  • Update procedures and review dates for department staff including content management in the credit union's knowledge base.

Insight Analyst Responsibilities

  • Create and visualize complex data into actionable insights to tell the story behind the numbers, enabling stakeholders across the credit union to make data-driven decisions.
  • Analyze member behavior and trends to uncover hidden opportunities for personalized experiences, stronger loyalty, and revenue growth.
  • Upload data into analytic dashboards or prebuilt workbooks.
  • Analyze data for trends and communicate to relevant staff.

Retail Support Responsibilities

  • Work cross-functionally with teams and leadership to develop data-driven strategies that align with our member-centric mission and ensure the credit union's long-term success.
  • Communicate with teams to ensure successful implementation and adoption of new processes.
  • Contribute to a culture of data-driven decision making, equipping teams with the tools and insights they need to thrive.
  • Participate in special projects and initiatives as needed.
  • Respond to requests through ticketing system, adhering to all departmental service level agreements.
  • Uphold compliance with the Bank Secrecy Act (BSA), which includes compliance with the Customer Identification Program and anti-money laundering policies and procedures.
  • Perform member file maintenance as needed.
  • Perform other duties as assigned.

Job Requirements

Qualifications:

Experience

  • Minimum 4 years' experience in product/process analysis, data analysis, business analysis, or a similar role.

Education

  • Bachelor's degree in business, economics, statistics, information technology, or a related field or more than two years of related experience.

Knowledge

  • Proficient in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
  • Advanced proficiency in Excel including pivot tables, vlookups, and chart creation.
  • Solid understanding of programming languages such as Python or R for data analysis.
  • Proficient in digital advertising analytics tools, including GA4, Google AdWords, Google Tag Manager, social media analytics etc.
  • Strong proficiency with Microsoft Office applications. Familiar and comfortable with information technology, particularly digital means of communication.

Skills/Abilities

  • Strong interpersonal and communication skills.
  • Excellent organizational skills and attention to detail.
  • Strong analytical and problem-solving skills.
  • Maintain high standards in accuracy, adaptability, judgment, reliability, and initiative.
  • Strong ability to translate quantitative data into actionable recommendations and to translate business objectives into marketing goals and measurements.

Physical Requirements/Work Environment

  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift 5 pounds at times.
  • Frequent travel to job sites.