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Freelance Python Data Analyst Jobs in Nebraska (NOW HIRING)

Agile Defense

Data Scientist

Omaha, NE · On-site

... Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex analytical findings into ...

Agile Defense

Data Scientist

Omaha, NE · On-site

... Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex analytical findings into ...

Leidos

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... analytics and analytic methods using Python, R, or similar tools * Identify and ETL relevant ...

Leidos

Data Scientist

Omaha, NE

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward ... analytics and analytic methods using Python, R, or similar tools * Identify and ETL relevant ...

Lorven Technologies

Python / Linux Developer

Omaha, NE · On-site

$48 - $66.25/hr

... OR ANSIBLE, ETL/DATA PROCESSING TOOLS, MONITORING/LOGGING TOOLS, INTEGRATION TESTING, AND ... VERY GOOD ANALYTICAL SKILLS AND PROBLEM-SOLVING ABILITY ARE REQUIRED. * HANDS-ON EXPERIENCE ...

Agile Defense

Data Scientist

Omaha, NE

... Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics Business acumen with proven ability to translate complex analytical findings into ...

Agile Defense

Data Scientist

Omaha, NE · On-site

... Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics • Business acumen with proven ability to translate complex analytical findings into ...

Lorven Technologies

Python / Linux Developer

Omaha, NE · On-site

$48 - $66.25/hr

... OR ANSIBLE, ETL/DATA PROCESSING TOOLS, MONITORING/LOGGING TOOLS, INTEGRATION TESTING, AND ... VERY GOOD ANALYTICAL SKILLS AND PROBLEM-SOLVING ABILITY ARE REQUIRED. * HANDS-ON EXPERIENCE ...

Pae

Data Scientist - Expert

Omaha, NE

Perform advanced data analytics, data mining, and statistical analysis to uncover actionable ... Advanced proficiency in major data science programming languages including Python, R, and SQL

Amentum

Data Scientist - Expert

Omaha, NE · On-site

Perform advanced data analytics, data mining, and statistical analysis to uncover actionable ... Advanced proficiency in major data science programming languages including Python, R, and SQL

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Freelance Python Data Analyst information

What is the difference between Freelance Python Data Analyst vs Freelance Data Scientist?

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

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 supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

Can you do freelancing as a data analyst?

Freelance Python data analysts can work independently on projects for clients, often using skills in data cleaning, analysis, and visualization with tools like Python and SQL. Freelancing offers flexibility in schedule and project choice but requires self-marketing, client management, and a strong portfolio to succeed.

Will AI replace data analysts?

AI tools can automate routine data processing and basic analysis tasks, but data analysts play a crucial role in interpreting complex data, making strategic decisions, and communicating insights. The role of a freelance Python data analyst involves skills in programming, statistical analysis, and data visualization, which remain essential despite advancements in AI. Therefore, AI is more likely to augment rather than fully replace data analysts in the foreseeable future.

How much does a Python freelancer make?

A freelance Python data analyst typically earns between $25 and $100 per hour, depending on experience, project complexity, and client budget. Experienced analysts with specialized skills in data visualization, machine learning, or big data tools can command higher rates, often working on short-term or long-term projects remotely.

What does a Freelance Python Data Analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

Can I be a data analyst with just Python?

A freelance Python data analyst can perform many data analysis tasks using Python libraries such as pandas, NumPy, and matplotlib. However, developing skills in SQL, data visualization, and understanding of business context often enhances job prospects and effectiveness in the role.

How does a Freelance Python Data Analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.
What are popular job titles related to Freelance Python Data Analyst jobs in Nebraska? For Freelance Python Data Analyst jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Nebraska look for? The top searched job categories for Freelance Python Data Analyst jobs in Nebraska are:
Freelance Python Data Analyst jobs near you

Data Analytics Developer

FMNE Insurance Company

Lincoln, NE • On-site

Other

Medical, Retirement

Posted 14 days ago

Job description

FMNE Insurance is seeking a Data Analytics Developer in our Actuarial Department. We're looking for a highly analytical and solutions-oriented data professional who is passionate about transforming complex data into meaningful insights that support actuarial and business decision-making. The ideal candidate is collaborative, technically strong, and detail-focused, with the ability to manage multiple priorities, build trusted relationships across teams, and develop efficient, reliable data solutions. Join a stable, values-driven company with deep Midwest roots and a strong team-focused culture.
This position is not eligible for visa sponsorship. Applicants must be authorized to work in the United States on a full-time basis. Please submit a resume and cover letter for consideration.
We offer a competitive salary and a comprehensive benefits package, including health coverage, a generous 401(k), pension plan, wellness programs and a hybrid work model for eligible employees.
Role Overview of a Data Analytics Developer
The Data Analytics Developer is a critical member of the Actuarial team and is responsible for, but not limited to, the preparation, transformation, and integration of data for accurate and effective actuarial analyses. This role collaborates closely with Data Scientists, Actuarial Analysts, and other stakeholders to ensure data quality, reliability, and performance of solutions.
Responsibilities of a Data Analytics Developer

  • Demonstrates the Company's mission, while successfully performing its core values related to integrity, service, excellence, stability, strength, respect, and teamwork.
  • Responsible for extracting, transforming, and loading (ETL/ELT) data to support actuarial analysis.
  • Perform data cleansing, transformation, and validation processes for data integrity and accuracy.
  • Create tables, views and stored procedures to support Actuarial processes.
  • Collaborate with the actuarial team to understand data requirements and provide accurate, timely data for pricing, reserving, and other actuarial functions.
  • Design, develop and maintain dashboards, reports and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.
  • Work in conjunction with the IT department to maintain up-to-date and optimized actuarial infrastructure.
  • Understand and work with colleagues to ensure continued compliance with data governance standards and security policies.
  • Maintain ETL processes, reports and dashboards.
  • Work closely with other departments to understand business needs.
  • Build and maintain trust with key stakeholders.
  • Regular and timely attendance in the office is an essential function of the position.
Skills and Qualifications of a Data Analytics Developer
  • Bachelor's degree in MIS, Computer Science, or other analytical areas.
  • Minimum of three years of experience working with data.
  • Must possess strong SQL skills.
  • Knowledge of SQL Server, SSIS, SSRS, Power BI or equivalent.
  • Experience with Python and/or R.
  • Familiar with Azure data services including Azure Data Factory (ADF).
  • Strong ability and desire to use technology to solve complex problems.
  • Knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms.
  • Knowledge of insurance industry preferred.
  • Aptitude for solving complex problems and overcoming challenges, demonstrating resilience and adaptability in finding solutions.
  • Demonstrated success in addressing business needs with analytics.
  • Ability to manage multiple tasks at the same time in a dynamic environment.
  • Excellent oral and written communication skills, self-driven, and strong quantitative, analytical, and interpersonal skills.

FMNE Insurance Company recognizes that an individual with a disability may require accommodation to enable them to successfully perform a job function. Should you require such accommodation, please indicate the job function and suggested accommodation during the interview process. FMNE will attempt to make reasonable accommodation.

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