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

SCEYE INC

Data Analyst

Moriarty, NM · On-site

Proficiency in SQL and at least one analysis/scripting language such as Python or R. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong understanding of ...

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

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Leidos

Data/Visualization Engineer SME

Albuquerque, NM · On-site

$131K - $237K/yr

Strong command of SQL and experience querying complex relational databases and data warehouses ... Familiarity with Python or R for advanced data manipulation and statistical analysis.

Booz Allen Hamilton

Data Architect

Albuquerque, NM · On-site

$61.75 - $79.50/hr

... analytics and reporting use cases. • Write and optimize SQL queries to transform and structure ... Python for data processing, automation, or scripting • Knowledge of ETL and ELT processes and ...

Varsity Tutors

SQL Tutor

Albuquerque, NM · Remote

$18 - $40/hr

... data analysis, database administration, and software development careers. * Conceptual Teaching ... Familiar with SQL curricula and common challenges such as understanding join types, writing complex ...

Booz Allen Hamilton

Data Architect, Senior

Albuquerque, NM · On-site

$65.25 - $87.25/hr

... Python and SQL. * Evaluate and recommend data tools, storage strategies, and architectural patterns as the team scales, delivering recommendations with cost or benefit analysis. * Participate in ...

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Data Analyst Python Sql information

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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

Data Analyst

SCEYE INC

Moriarty, NM • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Data Analyst


Status: Full Time

Location: Moriarty, NM

Reports To: Chief of Technology


Who Are We:

Sceye is a high-growth technology company, building the next generation of instant communications, imaging and remote sensing infrastructure through stratospheric platforms.


Our lighter-than-air high-altitude platform systems (LTA HAPS) are capable of maintaining position over an operational area in the stratosphere (altitudes of 18–21km). They can carry multiple telecommunications, imaging and remote sensing payloads, providing unique functionality, cost, environmental and societal advantages.


Our HAPS can be deployed in a matter of days and at a fraction of the cost of traditional infrastructure solutions. This makes them an ideal solution for providing telecommunications connectivity, emergency solutions in the event of natural or other disasters, environmental and infrastructure monitoring, Earth observation and a range of defense applications.


Our customers & partners include some of the largest global telecommunications companies, infrastructure operators, climate researchers, civil and defense agencies.


At Sceye, we aim high, and we want you to join us at the stratospheric edge of innovation. As part of our mission-driven team, you'll contribute to building breakthrough technologies that are changing the way we connect and observe the world. We are looking for individuals who bring not only deep expertise but also bold vision and an unwavering commitment to excellence.


Position Summary:

Sceye is seeking a detail-oriented Data Analyst to support flight test, engineering, and business teams with data-driven insights. This role will work with telemetry, sensor, and operational data generated by our stratospheric platforms, helping teams make informed decisions on vehicle performance, mission readiness, and business operations.


What You’ll Do:

  • Collect, clean, and analyze telemetry and sensor data from flight tests and ground operations.
  • Build dashboards and reports to track vehicle performance, mission metrics, and operational KPIs.
  • Partner with Flight Test, Systems Engineering, and Avionics teams to answer data-driven questions about vehicle performance.
  • Support post-flight data reduction and analysis to inform engineering decisions.
  • Maintain and improve data pipelines that move telemetry and operational data into analysis-ready formats.
  • Perform statistical analysis to identify trends, anomalies, and areas for improvement.
  • Document data definitions, sources, and analysis methodology for internal use.
  • Collaborate with software engineering teams to improve data quality and availability.
  • Support business and operations teams with ad hoc reporting and analysis requests.
  • Present findings clearly to both technical and non-technical stakeholders.


What We're Looking For:

  • Bachelor's degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, or related field, or equivalent experience.
  • 2-4 years of experience in a data analyst or similar analytical role.
  • Proficiency in SQL and at least one analysis/scripting language such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong understanding of statistics and data quality principles.
  • Excellent attention to detail and ability to work with large, messy datasets.
  • Strong communication skills, including the ability to explain analysis to non-technical audiences.


Preferred Qualifications:

  • Experience working with time-series or telemetry data, especially from sensors or flight/test systems.
  • Familiarity with aerospace, engineering, or manufacturing data environments.
  • Experience with data pipeline or ETL tools.
  • Exposure to machine learning or predictive analytics techniques.


Knowledge, Skills & Abilities:

  • Strong analytical and problem-solving mindset with curiosity about the underlying data.
  • Ability to work independently and manage multiple analysis requests in a fast-paced environment.
  • Clear and effective written and verbal communication skills.
  • Comfortable working with engineers, operators, and business stakeholders alike.
  • Detail-oriented with a commitment to data accuracy and integrity.


Physical Requirements:

  • Primarily an office-based role involving extended periods at a computer workstation.
  • Occasional visits to hangar or production facilities to understand data sources.
  • Ability to walk throughout office and production facilities as needed.


What We Offer:

At Sceye, we're building more than high-altitude platforms—we're building a workplace where people (and their pups) thrive. Here's what you'll enjoy:


  • Chef-Prepared Lunches – Fresh, onsite meals to keep you fueled and focused.
  • Snacks & Refreshments – Enjoy a variety of snacks and drinks available throughout the day.
  • Wellness Perks – Access to a gym, pickleball court, and an outdoor dog kennel.
  • Dog-Friendly Environment – Bring your four-legged friends to work and enjoy a pet-welcoming space.
  • Comprehensive Health Coverage – Medical, dental, vision, and disability insurance, with over 82% of premiums covered—and 100% for everything else.
  • 401(k) with Match – Company contributions that are yours from day one.
  • High-Performance Culture – Join a collaborative, inclusive environment where your work helps shape the future of aerospace.


Equal Opportunity Employer:

Sceye is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other legally protected status.


We encourage individuals from all backgrounds to apply, especially those who bring unique perspectives and experiences that can help us grow and innovate. If you require reasonable accommodation during the application or interview process, please contact us—we're happy to assist.