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

Varsity Tutors

Data Analysis Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data visualization, spreadsheet analysis, SQL querying, basic statistical inference, pivot tables, and reporting ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site +1

$61.75 - $79.50/hr

Experience writing and optimizing SQL queries for data transformation and analysis * Experience working with relational databases or cloud data platforms such as AWS * Experience using Python for ...

Booz Allen Hamilton, Inc.

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

Experience writing and optimizing SQL queries for data transformation and analysis * Experience working with relational databases or cloud data platforms such as AWS * Experience using Python for ...

Varsity Tutors

Data Science Tutor

Albuquerque, NM · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

AeroVironment

Senior Data Analytics Engineer

Albuquerque, NM · On-site

$100K - $153K/yr

Perform SQL development for data manipulation, QA, and analysis * Design and document data models that balance performance, maintainability, scalability, and business requirements * Troubleshoot and ...

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

As of Aug 20, 2026, the average yearly pay for data analyst python sql 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 is a data analyst Python SQL?

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?

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 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 Albuquerque, NM?

For Data Analyst Python Sql jobs in Albuquerque, NM, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Albuquerque, NM look for?

The top searched job categories for Data Analyst Python Sql jobs in Albuquerque, NM are:

Data Analyst Python Sql jobs near you

Neurosciences Data Specialist

University of New Mexico

Albuquerque, NM • On-site

Full-time

Re-posted 15 days ago

University Of New Mexico rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

126th of 620 rated colleges and universities

Job description

This position is a term appointment ending 6/30/28, subject to availability of additional funding. Due to budgetary constraints, we are unable to sponsor or take over sponsorship of an employment Visa. Applicants must be authorized to work in the United States on a full-time basis.

The UNM Health Sciences Library & Informatics Center and School of Medicine's Department of Neuroscience are looking for someone innovative with experience in data curation and data science, who is excited to advance our understanding of the brain by building more robust data analytic pipelines.

The Department of Neurosciences works with numerous types of clinical and preclinical data, including: EEG, electrophysiology, microscopy, and OMICs datasets. The successful candidate will work closely with Neurosciences researchers to develop innovative solutions for research data management, curation, and sharing. The candidate will use tools such as SQL, Python, and GitHub to create and maintain novel solutions for data curation, organization, and dissemination to support cutting-edge research.

Duties include:

  • Consults with and advises Department of Neurosciences researchers on preparing and managing data to meet regulatory and funder requirements for data sharing, research transparency, and rigor.
  • Assists in designing novel solutions for data curation, organization, and dissemination to support cutting-edge research.
  • Designs, develops, and maintains reproducible data workflows.
  • Develops data pipelines, scripts, and high-quality metadata to support research replication and transparency.
  • Addresses a variety of data integration issues including migration of data between disparate sources and conversion to neurosciences-specific data standards, such as those established by Neurodata Without Borders.
  • Provides support for version control through adoption of Git-based tools and code archiving.
  • Assists in migration of data to repositories, databases, and electronic lab notebooks.
  • Assists with utilization of LabArchives for organizing and sharing research data.
  • Supervises and trains up to six students in the management of research data and creation of reproducible data pipelines.
  • Collaborates with university IT to ensure that solutions meet local requirements for data security and privacy protections.

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