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Freelance Python Data Analysis Jobs in Massachusetts

Symbotic

Staff AI Data Analytics Engineer

Wilmington, MA · On-site

... and Python (data manipulation, analysis, automation). • Expertise in data visualization tools (e.g., Tableau, Power BI, Looker). • Experience working with large, multi-source datasets and ...

Liberty Mutual

Assistant Director, Data Science

Boston, MA · On-site

$161K - $197K/yr

Python data science libraries including pandas, geopandas, and numpy. * SQL based data management, including Snowflake and dbt. * Data analytics and interpretation through exploratory data analysis ...

Liberty Mutual

Assistant Director, Data Science

Boston, MA · On-site +1

$161K - $197K/yr

Python data science libraries including pandas, geopandas, and numpy. * SQL based data management, including Snowflake and dbt. * Data analytics and interpretation through exploratory data analysis ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

... data analysis, or machine learning * Proficiency in Python and familiarity with the Python data science stack (NumPy, SciPy, Pandas, scikit-learn, etc), with experience in other languages a plus

New

Busek Co Inc

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... analysis. Preferred Skills * Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar ...

Busek

Data Analyst

Natick, MA · On-site

Data Analyst About Busek Busek Co. Inc. is a pioneer in advanced space propulsion and technology ... analysis. Preferred Skills * Experience using Python, MATLAB, SQL, Power BI, Tableau, or similar ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Massachusetts? The most popular types of Python Data Analysis jobs in Massachusetts are:
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Freelance Python Data Analysis jobs near you
Staff Engineer, Data Analysis (R5290)

Staff Engineer, Data Analysis (R5290)

Shield AI

Boston, MA

$150K - $220K/yr

Full-time

Posted 3 days ago

New

Job description

Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:

We’re looking for a Staff Engineer to lead V-BAT’s fleet data analysis efforts. The V-BAT system produces rich data from real-world flight tests, fielded aircraft, production activity, and simulation runs.  

You will own the analysis pipelines, tooling, standards, and metrics that help the team understand fleet-wide system performance derived from information from software and hardware systems. You will facilitate deep studies into flight-critical sensor performance, navigation, communications, and other key aircraft behaviors. You will work closely with DevOps, Flight Software, Flight Test, Production, Quality, and Operations teams to turn complex aircraft data into actionable engineering insight. 

What you'll do:
  • Lead the technical strategy for V-BAT fleet data analysis across fielded aircraft, flight test, simulation, production, and quality workflows 
  • Own and improve the pipelines that transform raw flight, simulation, and fleet data into reliable engineering metrics, reports, and analysis products 
  • Conduct fleet-wide studies to identify trends in hardware quality, system performance, reliability, and operational behavior 
  • Analyze flight-critical sensor performance, GNSS-denied navigation performance, communications behavior, and other aircraft subsystems that are critical to mission success 
  • Standardize the team’s analysis methods across online tools, Jupyter notebooks, automated Python scripts, and legacy Matlab workflows 
  • Define best practices for analysis methods, data review, documentation, validation, reproducibility, and contribution workflows 
  • Build automated Python workflows that make high-value metrics easily accessible to engineering, production, quality, and leadership teams 
  • Partner with DevOps to build, deploy, maintain, and scale the infrastructure required for automated analysis pipelines and dashboards 
  • Work with Software, GNC, Embedded, Flight Test, Systems, Production, Quality, and Operations teams to define metrics that reflect aircraft performance and product health 
  • Support anomaly investigations, root-cause analysis, release readiness, production quality improvements, and customer-impacting fleet investigations with rigorous data analysis 
  • Mentor engineers on effective data analysis practices and raise the quality bar for data-driven engineering decisions across the V-BAT team 
Required qualifications:
  • 5+ years of relevant experience with a Bachelor’s degree in Computer Science, Data Science, or a related technical field 
  • Strong Python skills and experience building data analysis tools, automated analysis workflows, or data pipelines 
  • Experience analyzing data from fielded physical products such as aerospace systems, automotive systems, robotics platforms, commercial electronics, IoT devices, industrial equipment, or similarly complex real-world systems 
  • Experience working with large, messy datasets from deployed products, test events, simulations, production systems, or operational environments 
  • Ability to translate ambiguous engineering questions into structured analysis, sound conclusions, and clear recommendations 
  • Strong communication skills and the ability to influence cross-functional engineering, production, quality, and operations teams 
Preferred qualifications:
  • Experience with flight test data, aircraft telemetry, UAVs, robotics, autonomy, embedded systems, GNC, navigation systems, communications systems, or aerospace sensor suites 
  • Experience with Matlab, Jupyter, or similar analysis and visualization tools 
  • Experience building production-quality dashboards, automated reports, data products, or fleet-health monitoring systems 
  • Experience with databases, cloud storage, data lake architectures, time-series databases, telemetry systems, or data cataloging 
  • Experience with anomaly detection, trend analysis, statistical process control, reliability analysis, regression detection, or automated validation of complex systems 
#LI-SM1
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.