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Business Analyst Sql R Python Jobs in Gretna, NE

... including Python, R, and SQL โ€ข Deep Expertise in data visualization tools and applications ... analytics, or related field; at least part of the required experience must be within the past two ...

Build reporting solutions using Tableau, Power BI, SQL, Azure technologies, Python, and R ... Identify process improvements and technology opportunities that support business needs A successful ...

Pricing & Business Analyst

Fremont, NE ยท On-site

$114K - $145K/yr

Ability to analyze data using Excel, BI tools or SQL Reasoning Ability * Ability to apply ... Typical core business hours are Monday through Friday from 8:00am to 5:00pm. Travel This position ...

Senior Data Analyst

Lincoln, NE ยท On-site

$74K - $94K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Gretna, NE

$80K - $101K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Waverly, NE

$84K - $106K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Omaha, NE

$82K - $103K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Lincoln, NE

$74K - $94K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Springfield, NE

$84K - $106K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Fremont, NE

$82K - $104K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Papillion, NE

$79K - $100K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Senior Data Analyst

Ralston, NE

$77K - $98K/yr

This role focuses on tackling complex business challenges by leveraging data for decision-making ... Experience with scripting languages for data analysis (e.g., Python, R). * Experience with data ...

Advanced proficiency in major data science programming languages including Python, R, and SQL ... Background in advanced analytics within intelligence, defense, or similar data-intensive domains

Advanced proficiency in major data science programming languages including Python, R, and SQL ... Background in advanced analytics within intelligence, defense, or similar data-intensive domains

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Business Analyst Sql R Python information

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How much do business analyst sql r python jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for business analyst sql r python in Gretna, NE is $44.18, according to ZipRecruiter salary data. Most workers in this role earn between $33.12 and $55.29 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
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Litigation Data Analyst - Mass Tort & Product Liability

Litigation Data Analyst - Mass Tort & Product Liability

Husch Blackwell Llp

Omaha, NE โ€ข On-site, Remote

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 6 days ago


Job description

Husch Blackwell LLPย is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation.ย  If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Litigation Data Analyst โ€“ Mass Tort & Product Liability position. This position may be filled remotely, or in any of our locations.

The Litigation Data Analyst โ€“ Mass Tort & Product Liability serves as a strategic insights partner to our premier mass tort and product liability practice. This position will leverage data analytics to guide litigation strategy, predict case outcomes, and optimize financial performance across complex multi-plaintiff litigation portfolios.

Essential functions include:

Case Analytics & Outcome Prediction

  • Analyze historical verdict data, settlement patterns, and case characteristics to develop predictive models for case valuation and outcome probability
  • Build comprehensive databases of comparable verdicts, settlements, and judicial decisions to support case strategy and client counseling
  • Develop statistical models to assess likelihood of settlement versus trial outcomes based on case factors, jurisdiction, and opposing counsel profiles
  • Create financial modeling frameworks to project settlement ranges, trial outcomes, and expected case values across different scenarios

Portfolio Management & Strategic Insights

  • Monitor and analyze mass tort inventory performance, identifying trends in case development, settlement velocity, and financial outcomes
  • Collaborate with litigation teams to understand case development challenges and translate them into analytical problems
  • Structure complex litigation problems into clear analytical tasks, supporting strategic decision-making on case selection, resource allocation, and settlement timing
  • Prioritize analyses based on case value, urgency, and strategic importance to the practice

Reporting & Visualization

  • Design and build automated dashboards tracking key litigation metrics including case inventory, settlement rates, average case values, and practice profitability
  • Create executive-level reports on practice performance, including revenue forecasts, cost analysis, and profit margins by case type and jurisdiction
  • Streamline existing case reporting processes to ensure timely and accurate delivery of key performance indicators
  • Present findings and recommendations in clear, concise manner tailored to different audiences (partners, associates, clients, experts)

Data Management & Process Optimization

  • Clean, manipulate, and analyze large litigation datasets to extract trends, patterns, and actionable insights
  • Use statistical and data modeling techniques to support litigation strategy and business development decisions
  • Connect analytical findings to litigation strategy, financial outcomes, and client impact

Cross-Functional Collaboration

  • Partner with attorneys, paralegals, case managers, and finance teams to gather requirements and align on analytical objectives
  • Collaborate with business development team to identify market opportunities and practice growth strategies
  • Share knowledge and best practices with litigation teams to elevate analytical capabilities across the practice

Position Requirements

  • Advanced degree in statistics, economics, or related quantitative field or commensurate professional and educational experience.ย 
  • 3+ years in litigation support, data analysis, consulting, or strategic operations role, preferably in a legal services environment
  • Background in financial analysis, actuarial science, or quantitative fields highly valued
  • Advanced proficiency in Excel, SQL, and statistical analysis tools (R, Python, SAS preferred)
  • Hands-on experience with legal technology platforms (Relativity, Lexis, Westlaw) and case management systems
  • Proficiency with Power BI or equivalent data visualization tools
  • Experience with statistical modeling, regression analysis, and predictive analytics
  • Proven ability to scope and lead complex analytical projects with limited direction
  • Experience analyzing financial performance metrics, P&L statements, and profitability drivers
  • Fluent in translating complex data into clear implications and actionable recommendations for legal strategy
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with attorneys and senior stakeholders
  • Operates with a client-service mindsetโ€”responsive, proactive, and trusted advisor
  • Comfortable working at both strategic and tactical levels within litigation framework
  • Thrives in high-pressure, deadline-driven environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play key role in practice growth and innovation
  • Understanding of attorney-client privilege and work product doctrine as applied to litigation analytics

Preferred Qualifications

  • JD is preferred
  • Experience with mass tort, class action, or complex litigation preferred
  • Experience with insurance coverage analysis and actuarial modeling
  • Knowledge of federal and state court systems and civil procedure
  • Understanding of damages calculations and economic loss analysis

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $111,000 - $211,000
  • State of Colorado: $102,000 - $182,000
  • State of Illinois: $100,000 - $194,000
  • State of Massachusetts: $111,000 - $211,000
  • State of Maryland: $107,000 - $163,000
  • State of Minnesota: $111,000 - $183,000
  • Jersey City, NJ: $120,000 - $218,000
  • State of New York: $103,000 - $223,000
  • State of Vermont: $109,000 - $210,000
  • State of Washington: $107,000 - $204,000
  • Washington, D.C.: $143,000 - $210,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.


EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

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