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Business Analyst Sql R Python Jobs in Tewksbury, MA

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

... Python, R, MATLAB, SQL, and Visual Basic for Applications (VBA). Builds robust quantitative tools ... Informs investment decisions by analyzing financial information to forecast business, industry, or ...

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

... Python, R, MATLAB, SQL, and Visual Basic for Applications (VBA). Builds robust quantitative tools ... Informs investment decisions by analyzing financial information to forecast business, industry, or ...

The Business Analyst reports to the Associate Registrar for Enrollment Services. This position will ... Develop expertise with PeopleSoft data tools such as Data Warehouse, PL/SQL, OBIEE, and Query ...

The Business Analyst reports to the Associate Registrar for Enrollment Services. This position will ... Develop expertise with PeopleSoft data tools such as Data Warehouse, PL/SQL, OBIEE, and Query ...

Business Analyst

Westborough, MA · On-site

$85 - $110/hr

... SQL • Strong techno functional knowledge of: o Oracle EBS HRMS configurations o Interfaces and data conversions • Working knowledge of: o PL/SQL (for analysis and troubleshooting) o Oracle ...

Senior Business Analyst

Boston, MA · On-site

$100K - $129K/yr

Senior Business Analyst Location: Hybrid - Boston, MA (4 days/week onsite) - Local Candidates Only ... Familiarity with SQL, XML, HTML, XSLT, JSON * Experience using Postman, REST APIs, and SOAP UI * ...

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Business Analyst Sql R Python information

See Tewksbury, MA salary details

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$51

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

As of Aug 23, 2026, the average hourly pay for business analyst sql r python in Tewksbury, MA is $51.11, according to ZipRecruiter salary data. Most workers in this role earn between $38.32 and $63.99 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.

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.

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.

What job categories do people searching Business Analyst Sql R Python jobs in Tewksbury, MA look for?

The top searched job categories for Business Analyst Sql R Python jobs in Tewksbury, MA are:

What cities near Tewksbury, MA are hiring for Business Analyst Sql R Python jobs?

Cities near Tewksbury, MA with the most Business Analyst Sql R Python job openings:

AM Quantitative Analyst I

Soteria Reinsurance Ltd.

Boston, MA • On-site

$135 - $175/hr

Other

Posted 5 days ago


Job description

## AM Quantitative Analyst IApplylocations: Boston, MAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: August 25, 2026 (30+ days left to apply)job requisition id: 2132397## ## Job Description:**Position Description**:**Note: Fidelity will not provide immigration sponsorship for this position.**Conducts research studies and develops quantitative techniques, models and tools to support and enhance the investment process. Defines and communicates financial facts and filters relevance using econometric modeling tools. Enhances the use of quantitative finance within company’s investment process. Offers clear, concise and persuasive investment recommendations. Process large data sets and analyzes the impact to investment decisions, using Python, R, MATLAB, SQL, and Visual Basic for Applications (VBA). Builds robust quantitative tools to aid all aspects of portfolio construction, using R, MATLAB and relational databases. Develops and evaluates innovative systematic strategies. Improves frameworks for global tactical asset allocation.**Primary Responsibilities:*** Informs investment decisions by analyzing financial information to forecast business, industry, or economic conditions.* Monitors, measures, and attributes portfolio risks and returns.* Prepares plans of action for investment, using financial analyses.* Interprets data on price, yield, stability, future investment-risk trends, economic influences, and other factors affecting investment programs.* Builds models on the detection and forecast of market environments, providing insights into as-set diversification and portfolio construction in distinct regimes.* Assists with the design and launch of new investment solutions.* Meets with consultants and clients to present the team’s investment process and quantitative frameworks.* Collaborates closely with investment and technology professionals within the division.* Explains complex quantitative concepts to non-technical personnel.**Education and Experience**:Bachelor’s degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as an AM Quantitative Analyst I (or closely related field) investigating large structured and novel data sources to generate alpha, using Python, R, MATLAB and SQL in a Linux environment.Or, alternatively, Master’s degree in Accounting, Economics, Finance, Statistics, Mathematics, Financial Engineering, or a closely related field (or foreign education equivalent) and no experience.**Skills and Knowledge**:Candidate must also possess:* Demonstrated Expertise (“DE”) designing, creating, analyzing, and validating quantitative equity investment strategies (alpha and risk models), using advanced mathematical, statistical, and machine learning techniques -- multivariate regression, clustering analysis (Connectivity based - hierarchical clustering and Centroid based - K-means algorithm), Bayesian statistics, Time-Series analysis, and non-linear tree-based models.* DE streamlining data preparation pipeline using relational databases (Oracle and Snowflake) and performing manipulation via SQL, large-scale dataset processing, web scraping, Natural Language Processing (NLP), and parallel computing; and conducting signal research for stock return prediction, using multivariate regression, Structural Vector Autoregressions (SVARs), identification of principal time-series shocks, Graph-based ranking algorithm, and statistical Machine Learning (Machine Learning).* DE implementing quantitative strategies and portfolio analytics platforms, using R, Python, MATLAB, Object-Oriented Programming (OOP), and GitHub; and designing robust development pipeline, using version control, automated testing, and Continuous Integration and Continuous Delivery (CI/CD).* DE performing portfolio construction research utilizing modern portfolio theory, mathematical optimization, numerical analysis, and transaction cost optimization, using Gurobi and Axioma; and developing in-depth portfolio analysis framework using Brinson attribution, regression-based return decomposition, Marginal Risk Contribution, regime analysis, and sensitivity analysis.Salary: $135,000.00 to $175,000.00/year.#PE1M2#LI-DNIFidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.## ## Certifications:## ## Category:## Investment ProfessionalsPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. #J-18808-Ljbffr