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Data Analytics Python Jobs (NOW HIRING)

Data/Analytics Engineer

Westminster, CO · On-site

$122K - $168K/yr

Data/Analytics Engineer Job Location: Westminster CO, or Christchurch NZ Our Department: Field ... Very good Python programming skills are a must. * Experience with ETL processes and migrating from ...

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Proficiency in data analysis tools such as Excel, SQL, and Python or R. * Excellent communication and presentation skills. * A desire to pursue a career in analytics post-college graduation.

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Glendale, CA · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Develop Python/SQL scripts for data analysis, automation, and supporting analytical workflows * Query SQL databases and leverage GIS to support business analytics and reporting needs * Document ...

Transform data using SQL, Python, etc to identify trends that lead to actionable problems and defend analysis to promote for countermeasure activity * Generate groupings to support identification and ...

Data Analytics Analyst

Irvine, CA · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Specialist

Crane, IN · On-site

$100K - $160K/yr

Write clean, efficient, and reusable Python code for data engineering and analytics tasks. * Analyze complex datasets to identify trends, patterns, and actionable engineering insights. * Implement ...

Data Analytics Analyst

Melville, NY · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Melville, NY · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Irvine, CA · On-site

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics - Associate

New York, NY · On-site +1

$110K - $150K/yr

Write Python and SQL (in dbt) to extract, transform, validate, and aggregate data. * Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter and Python.

Data Analytics - Associate

New York, NY · On-site

$110K - $150K/yr

Write Python and SQL (in dbt) to extract, transform, validate, and aggregate data. * Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter and Python.

Data Analytics Analyst

Melville, NY · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... Develop and optimize queries using SQL, Python, DAX, and Power Query . * Maintain and improve data ...

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Data Analytics Python information

See salary details

$26K

$113.8K

$185.5K

How much do data analytics python jobs pay per year?

As of Jun 4, 2026, the average yearly pay for data analytics python in the United States is $113,761.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $139,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Python professional, and why are they important?

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

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

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

More about Data Analytics Python jobs
What cities are hiring for Data Analytics Python jobs? Cities with the most Data Analytics Python job openings:
What states have the most Data Analytics Python jobs? States with the most job openings for Data Analytics Python jobs include:
Infographic showing various Data Analytics Python job openings in the United States as of May 2026, with employment types broken down into 11% As Needed, and 89% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,761 per year, or $54.7 per hour.
Data/Analytics Engineer

Data/Analytics Engineer

Trimble

Westminster, CO • On-site

$122K - $168K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 hours ago


Trimble rating

7.8

Company rating: 7.8 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

54th of 139 rated electronics manufacturers


Job description

Your Title: Data/Analytics Engineer

Job Location: Westminster CO, or Christchurch NZ

Our Department: Field Systems

Data/Analytics Engineer - Customer 360 Data Pipelines

About the Team: The Field Systems Data Team at Trimble is actively building and maturing our data strategy. We are seeking a dedicated Data Engineer to join our Business Intelligence team and actively shape our data backend and infrastructure in a dynamic environment, proactively breaking down data silos.

The Role: As a Data/Analytics Engineer, you will take on central tasks in our critical data projects and in the technical communication with the data platform team. Your efforts will be crucial for building a comprehensive 360-degree customer view, managing the growing demand for insights, and enhancing the overall quality and effectiveness of our data analysis.

What You Will Do: As a Data/Analytics Engineer in this permanent role, you will join our data analytics team to drive the evolution of our data platform and execute critical data projects:

Data Architecture and Platform Evolution (Snowflake/BI tools)

  • Lead or actively participate in the migration of data storage and ETL processes to Snowflake, integrating downstream with BI tools (including Domo).

  • Design and implement scalable data schemas, audit existing data flows, and ensure the integrity of core finance, marketing, product usage, and licensing datasets for analytics and reporting.

  • Establish necessary platform structures and contribute to knowledge transfer for new data platform components and logic, enabling effective consumption in BI tools.

Data Enrichment and Insight Development

  • Spearhead data quality and completeness initiatives by designing advanced record linkage and enrichment pipelines using Python and the Splink library.

  • Ensure comprehensive documentation and proper handover of new data enrichment ecosystems and processes.

  • Maintain and optimize SQL-based data extracts crucial for key business dashboards and reporting.

Advanced Analytics

  • Implement and deploy complex classification algorithms (currently prototyped in Python) within the production data environment (Snowflake).

  • Establish automated, incremental processes for algorithm execution and integration into the existing ETL/dashboard structure.

  • Support the integration and deployment of new data visualization and tooling solutions.

Third-Party Data Integration and Operational Data Quality (Impartner)

  • Collaborate with business teams (e.g., Sales Operations) to support the integration of critical third-party systems and data sources.

  • Implement and maintain data quality feature sets, including manual data cleanup, to ensure the reliability of data used for achieving production and business targets.

What skills & experience you should bring

Along with your excellent communication skills, stakeholder engagement, and ability to work independently or as part of a team, you will also have:

  • Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.

  • Proven experience as a Data/Analytics Engineer, ideally in a growing or evolving data environment.

  • Expert knowledge in Snowflake is required.

  • Very good Python programming skills are a must.

  • Experience with ETL processes and migrating from Domo (or similar BI platforms) to modern data warehouses.

  • Strong interest and focus on data backend and infrastructure topics.

  • Ability to work in a fast-paced environment and solve problems hands-on.

  • Strong problem-solving skills and attention to detail.

  • Knowledge of data governance and data quality best practices.

Logistics

  • Location: Westminster, Colorado, or Christchurch, NZ
  • Travel Requirement: 5%

About Trimble Field Systems

Trimble Field Systems is a segment within Trimble that focuses on providing solutions for field data collection and management. This segment offers technologies and tools that enable professionals in various industries, such as construction and geospatial, to efficiently gather, process, and utilize data from the field. By leveraging GPS, laser scanning, and other advanced technologies, Trimble Field Systems helps improve accuracy, productivity, and connectivity between field operations and office workflows.

Keywords: Data Engineer, Data Analyst, Data Pipeline, Customer 360, SQL, Python, DOMO, Snowflake, Data Governance, Field Systems, Trimble

Compensation: Trimble provides the following compensation range and general description of other compensation and benefits that it in good faith believes it might pay and/or offer for this position. This compensation range is based on a full time schedule. Trimble reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.

Hiring Range

$122,500.00-$168,400.00

Pay Rate Type

Salary

Bonus Eligible?

Yes

Commission Eligible?

No


Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans. Most of our businesses also offer tax savings plans for health, dependent care and commuter expenses as well as Paid Parental Leave and Employee Stock Purchase Plan. If this position is identified above as commission- or bonus-eligible, the terms of the commission plan or discretionary bonus plan for which you are eligible will be provided following the employee start date.


How to Apply: Please submit an online application for this position by clicking on the 'Apply Now' button located in this posting.


Application Deadline: Trimble accepts applications on an ongoing basis until the position is filled.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values-Belong, Innovate, and Grow-we embrace and celebrate differences, knowing they make us stronger and more innovative. We are proud to be an equal opportunity employer, welcoming individuals of all backgrounds and advancing opportunities while embracing race, color, gender identity, sexual orientation, religion, disability, veteran status, or any other protected and diverse characteristic. We are committed to offering our candidates and employees with disabilities or sincerely held religious beliefs the ability to seek reasonable accommodations in accordance with applicable law and/or where it would not constitute undue hardship for Trimble. For more, please see Trimble's Code of Business Conduct and Ethics at https://investor.trimble.com, under "Corporate Governance."

Our mission to transform the way the world works starts with transforming how we work together. By actively listening, asking questions, and taking intentional actions, we cultivate a culture that provides equitable opportunities for everyone to contribute and grow.

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If you need assistance or would like to request an accommodation in connection with the application process, please contact careers@trimble.com.


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