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Business Analyst Sql R Python Jobs in Springfield, MA

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

... Business, Infrastructure team, Source data owners, and the Analytics sub-committee teams. Scope of Work The Criminal Justice Information System (CJIS-CT) SQL Db Developer/Administrator will be ...

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

... Python, Structured Query Language (SQL), R, or SAS to prepare data for analysis, perform ... business and organizational needs. The disclosed range estimate has not been adjusted for the ...

... business metrics. • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. • ...

... business. This role is primarily responsible for developing and maintaining tools that support ... Use SQL for data engineering and Python for data science to transform data, perform analyses, and ...

New

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

... business metrics. • Participate in the development of advanced analytics and machine learning or deep learning models including LLMs using predefined processes and tools like SAS and R/ Python. • ...

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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 Aug 7, 2026, the average hourly pay for business analyst sql r python in Springfield, MA is $47.27, according to ZipRecruiter salary data. Most workers in this role earn between $35.43 and $59.18 per hour, depending on experience, location, and employer.

What is a business analyst SQL R Python?

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?

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.

How do business analysts with 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.
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Data Scientist - Workforce Analytics

MANTECH

Springfield, MA • On-site

Full-time

Re-posted 13 days ago


ManTech rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

hackajob is collaborating with MANTECH to connect them with exceptional professionals for this role.

MANTECH seeks a motivated, career and customer-oriented Workforce Analytics/Data Scientist to join our team in Springfield, VA.

The Workforce Analytics/Data Scientist will support the Equal Employment Opportunity (EEO) office by delivering comprehensive oversight and compliance capabilities. You will apply deep subject matter expertise to develop policies, strategic implementation plans, and tailored training while leveraging data science to protect privacy rights and civil liberties.

Responsibilities include but are not limited to:

  • Carrying out primary and secondary data collection and analysis activities, including the interpretation of analytic results and the development of vetted recommendations for senior leaders.
  • Utilizing and developing queries from HRIS systems and business intelligence tools such as Python, R, SQL, and Tableau.
  • Partnering with EEO staff to provide demographic-related workforce analytics for organizational oversight and federal reporting.
  • Identifying and reporting on triggers and barriers to equal employment opportunities by analyzing workforce metrics and employee sentiment.
  • Displaying analytic results visually and textually to communicate complex findings to both technical and non-technical audiences at all levels of the organization.
  • Supporting annual, quarterly, and ad hoc internal and external reporting requirements by preparing briefings and strategic staff material.
  • Participating in internal and external working groups and meetings related to workforce demographic data topics and project management.
     

Minimum Qualifications:

  • Bachelor’s Degree or higher in Operations Research, Mathematics, Statistics, Data Science, or a related quantitative field.
  • 7+ years of progressively responsible experience in social science or workforce analytics-related fields.
  • Experience conducting qualitative and quantitative data analysis using descriptive and inferential statistics such as ANOVA, t-tests, and regression modeling.
  • Experience with and demonstrated ability to extract and synthesize complex information to prepare briefings, read-aheads, and presentations with high attention to detail.
  • Experience and proficiency with data science and visualization tools, predominantly Tableau, as well as Python, R, or SQL.
  • Experience utilizing human capital data regarding promotion, attrition rates, and internal churn within an EEO context.
     

Preferred Qualifications:

  • Subject matter expert in quantitative and qualitative human capital research with an advanced degree in quantitative field.
  • Advanced proficiency in coding, specifically including SQL for database management.
  • Self-starter with experience interacting with senior-level directors and executive leadership to drive organizational change.
     

Clearance Requirements:

  • An active TS/SCI with the ability to obtain and maintain a Polygraph.
     

Physical Requirements:

  • Must be able to remain in a stationary position 50%.
  • Constantly operates a computer and other office productivity machinery, such as a copier, scanner, and computer printer.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.
  • Must be able to exchange accurate information in these situations.

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