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Senior Python Data Analysis 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 ...

Cordova

Senior Data Architect

Omaha, NE

$64.25 - $86/hr

Cloud Proficiency: 3+ years of hands-on experience with Azure Data Factory, Python, and SQL ... Analytical Prowess: Exceptional ability to read code, understand complex technical issues, and ...

Deckers

$17.64 - $22.02/hr

Experience working with data using tools such as Python, R, Excel, or equivalent analytical platforms (preferred) * Exposure to loyalty programs, customer analytics, or marketing analytics (preferred)

Conagra Brands

Senior Data Enablement Analyst

Omaha, NE · Hybrid

$81K - $118K/yr

You will work handson across data analysis, modeling, governance, and solution design to ensure data products are reliable, wellgoverned, and scalable, partnering closely with engineers, architects ...

CSAA

$83.30K - $110.30K/yr

Performs complex data analysis for commercial insurance related to overall business objectives ... Working knowledge of R or Python. * Experience with automating repetitive tasks. * Adaptability and ...

LinkedIn

Senior Forecasting Business Analyst

Omaha, NE · Hybrid

$95K - $158K/yr

The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning ... data analysis, and statistical modeling. Experience in programming languages such as Python, R, or ...

LinkedIn

Senior Forecasting Business Analyst

Omaha, NE · On-site

$95K - $158K/yr

The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning ... data analysis, and statistical modeling. • Experience in programming languages such as Python, R ...

LinkedIn

Senior Forecasting Business Analyst

Omaha, NE · Hybrid

$95K - $158K/yr

The Senior Forecasting Analyst for Trust Review Operations (TRO) will support the budget planning ... data analysis, and statistical modeling. • Experience in programming languages such as Python, R ...

Pae

Data Scientist - Expert

Omaha, NE

The candidate will serve as a senior technical advisor and lead efforts to modernize analytic ... Advanced proficiency in major data science programming languages including Python, R, and SQL

Amentum

Data Scientist - Expert

Omaha, NE · On-site

The candidate will serve as a senior technical advisor and lead efforts to modernize analytic ... Advanced proficiency in major data science programming languages including Python, R, and SQL

Diverse Lynx

Senior Data Engineer

Omaha, NE · On-site

$101.40K - $137.80K/yr

IICS, Python Detailed Skill Set: s a Senior Data Engineer, you will play a key role in leading the ... cases and analytics needs. • Design and manage data models; validate them with business ...

Mutual of Omaha

Sr Data Analytics Developer

Omaha, NE · On-site

$90K - $115K/yr

Sr Data Analytics Developer Apply now Job no: 504881 Work type: Full Time Regular Location: Remote ... Leads the analysis, design, development, and implementation of customer reporting and business ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Nebraska? The most popular types of Python Data Analysis jobs in Nebraska are:
What are popular job titles related to Senior Python Data Analysis jobs in Nebraska? For Senior Python Data Analysis jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Nebraska look for? The top searched job categories for Senior Python Data Analysis jobs in Nebraska are:
Senior Python Data Analysis jobs near you
Data Scientist

Data Scientist

Agile Defense

Omaha, NE • On-site

Other

Posted 16 days ago

Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition Number: 1417

Title: Data Scientist

Clearance: DoD Active Top Secret

Location: Omaha, NE
 
Overview:
As a Data Scientist at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role will help support understanding our customers, markets, and operations through advanced analytics and machine learning. You'll work closely with business leaders, product teams, and engineering to identify opportunities, test hypotheses, and build predictive models that inform critical business decisions and drive measurable impact.
 
 
Responsibilities/Duties:   

Drive Data-Driven Discovery
Conduct deep-dive analyses to understand customer behavior, market trends, and business performance
Design and execute sophisticated experiments to test business hypotheses and measure feature impact
Build predictive models that forecast business outcomes and identify growth opportunities
Apply advanced statistical techniques to solve complex business problems across multiple domains

Lead Analytics Strategy
Partner with business leaders to identify high-impact analytical opportunities and frame research questions
Influence product and business strategy through data-driven insights and recommendations. Build analytical frameworks.
Present complex findings to executive stakeholders in compelling, actionable formats

Build Innovative ML Solutions
Develop models for segmentation, recommendation systems, risk assessment, and optimization
Create statistical models that quantify business impact and guide resource allocation decisions
Collaborate with ML engineers to transition research models into production systems

Enable Advanced Analytics
Establish statistical rigor and experimental design standards across the organization
Build analytical tools and methodologies that other teams can leverage for their own insights

Foster Data-Driven Culture
Train and mentor stakeholders on analytical thinking and data interpretation
Communicate complex statistical concepts to non-technical audiences in understandable ways
Advocate for data quality and proper experimental design in business decision-making
Contribute to the analytical capabilities and methodologies of the broader data team

Required Skills - What You'll Bring:
3+ years of experience regression analysis, and building predictive models for business applications with measurable impact
Advanced statistical knowledge including experimental design, hypothesis testing, causal inference, and statistical modeling techniques
Strong programming skills in 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 strategic business recommendations and actionable insights
Machine learning expertise with experience building and validating models using scikit-learn, TensorFlow, or similar frameworks on platforms like Databricks
Data analysis and visualization abilities using advanced analytics tools and integrating with business intelligence platforms (Tableau, PowerBI, Qlik)
Database and analytical platform experience with SQL, statistical software, and modern data analysis environments

Preferred Skills - What Would Set You Apart:
Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments
Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns
Data architecture expertise with experience designing scalable data processing systems and implementing data governance frameworks
Experience integrating with platforms such as Qlik, Tableau, PowerBI, MAVEN Smart System (Palantir), or similar.
Experience designing and building enterprise-level dashboards, reports, and self-service analytics platforms
Analytics platform knowledge including experience with Advana


 WORKING CONDITIONS
 Environmental Conditions
 Contractor site with varied travel possible. Possible off-hours work to support releases and outages. General office environment. Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. The working environment is generally favorable. Lighting and temperature are adequate, and there are not hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.

Strength Demands
 Sedentary - 10 lbs. Maximum lifting, occasional lift/carry of small articles.  Some occasional walking or standing may be required.   Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.

Physical Requirements
 Stand or Sit; Walk; Repetitive Motion; Use Hands / Fingers to Handle or Feel; Stoop, Kneel, Crouch, or Crawl; See; Push or Pull; Climb (stairs, ladders) or Balance (ascend / descend, work atop, traverse).

Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.
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