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Remote Python Data Analysis Jobs in Albuquerque, NM

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

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 ...

Software Engineer III - UPDATED

Albuquerque, NM · On-site +1

$53.75 - $72/hr

For well qualified candidates, a remote work arrangement may be considered. What You Will be Doing ... Python, including numerical algorithms, data-analysis pipelines, and simulation components.

Software Engineer III - UPDATED

Albuquerque, NM · On-site +1

$53.75 - $72/hr

For well qualified candidates, a remote work arrangement may be considered. What You Will be Doing ... Python, including numerical algorithms, data-analysis pipelines, and simulation components.

FP&A Manager

Albuquerque, NM · Remote

$40 - $60/hr

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

FP&A Manager

Rio Rancho, NM · Remote

$40 - $60/hr

... remote work and the freedom to set your own schedule. This role is designed to fit a variety of ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Program Analyst

Albuquerque, NM · On-site +1

$100 - $160K/hr

Data analysis and graphical expertise * Demonstrated ability to consolidate multiple reviewers ... This is a remote or hybrid position in Washington, DC or Albuquerque, NM. SALARY: Salaries are ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

... remote work and setting your own schedule. We are looking for a proficient Coder (part-time work ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

This position is fully remote, and shifts are available during EST through PST hours. The selected ... Analyzing data using spreadsheets to determine campaign criteria, deliverable volumes, and pricing

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Remote Python Data Analysis information

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How much do remote python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for remote python data analysis in Albuquerque, NM is $56.82, according to ZipRecruiter salary data. Most workers in this role earn between $46.83 and $64.57 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Python Data Analysis jobs in Albuquerque, NM? The most popular types of Python Data Analysis jobs in Albuquerque, NM are:
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Infographic showing various Remote Python Data Analysis job openings in Albuquerque, NM as of May 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $118,192 per year, or $56.8 per hour.
Data Engineer-Kiewit Nuclear Solutions 1

Data Engineer-Kiewit Nuclear Solutions 1

Kiewit Corporation

Albuquerque, NM • Remote

$111K - $133.30K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Kiewit Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

20th of 77 rated construction


Job description

Requisition ID: 180211 

Job Level: Mid Level 

Home District/Group: Kiewit Nuclear Solutions 

Department: Technology Group 

Market: Nuclear 

Employment Type: Full Time 
 

Position Overview

Kiewit is seeking a Power BI Developer to architect, design, and deliver enterprise-grade analytics solutions supporting complex EPC projects across the organization. This is a technical role that involves building strong relationships with project and discipline leads and deploying complex data strategies activities across Kiewit's business functions. This role operates within the Digital Project Execution (DPE) team and will collaborate closely with data engineers, solution architects, project leadership, and technology teams to deliver production-grade BI solutions that drive operational decisions on major construction programs.

District Overview

This position is within the Kiewit Technology Group, supporting Kiewit Nuclear Solutions. 

Location

This is a remote position that may require some travel. 

#LI

Responsibilities

Power BI Development

  • Develop interactive dashboards for project and field use
  • Implement row-level security (RLS), object-level security (OLS), and governance standards
  • Deploy and manage solutions within Power BI capacities
  • Configure and optimize data gateways
  • Manage workspaces, deployment pipelines, and versioning strategies
  • Design and develop scalable Power BI datasets using modeling best practices
  • Build optimized semantic models supporting enterprise-scale reporting
  • Implement incremental refresh, aggregation tables, composite models, and DirectQuery/Import hybrid architectures
  • Engineer high-performance DAX measures for complex business logic
  • Troubleshoot and refactor poorly performing models
  • Contribute to enterprise data standards and BI best practices

Data Integration and Engineering Collaboration

  • Work with data engineers to define optimized data contracts
  • Analyze and troubleshoot end-to-end data pipelines
  • Contribute to ELT design patterns across:
    • Azure Data Lake (ADLS Gen2)
    • Azure Databricks (Spark / PySpark / Spark SQL)
    • Azure Data Factory
    • SQL Server / Azure SQL
  • Ensure datasets are structured for performance, scalability, and reusability
Qualifications

Technology stack

Primary:

  • Power BI
  • Power BI Premium / Embedded
  • Azure Databricks (PySpark, Spark SQL)
  • Azure Data Lake
  • Azure Data Factory
  • SQL Server
  • Snowflake

Supporting:

  • Python
  • Git (source control)
  • CI/CD deployment pipelines
  • Data modeling and warehousing frameworks

Required SKILLS AND ABILITIES

  • Strong PowerBi experience is required including PowerBI Premium or Embedded
  • Programming: Expert level SQL, PL/SQL, Experienced Python skills (with a strong track record of optimizing complex Power BI models for performance and scalability)
  • Procient in writing advanced / complex SQL, expertise in optimization of SQL queries preferred.
  • Familiarity with the EPC industry required (Engineering or Construction)
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes and then build integration processes and database views to represent those rules and processes.
  • Preferred experience in secondary tools such as Azure Databricks, Visual studio, Azure Data Factory, etc.
  • Excellent written and strong oral communication skills.
  • Understanding of ETL fundamentals and solutions.
  • Should be procient in writing advanced / complex SQL, expertise in performance tuning and optimization of SQL queries required.
  • Experience in Python/Pyspark and Spark SQL (primary languages used in our solutions).
  • Experience in troubleshooting data issues and analyzing end to end data pipelines.
  • Strong experience developing data analytics and visualizations with transformation and aggregation from multiple formats for analyzing and uncovering insights / intelligence for project teams.
  • Familiar with source control and version control systems
  • Experience in troubleshooting and working with various teams in resolving issues / solving complex problems.
  • Proven ability to understand complex business rules and processes.
  • Experience with creation of technical documentation for Functional Requirements, Scope documents, Technical Design, and Business Process Modeling etc.

Industry Specific Experience:  

  • 8+ years of experience in BI / data analytics

Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    FIELD ROLES ONLY May work at various different locations and conditions may vary

Base Compensation: $136,000/yr - $142,000/yr

(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.


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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884