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Business Analyst Sql R Python Jobs in Manchester, NH

Varsity Tutors

Data Analysis Tutor

Lawrence, MA · Remote

$18 - $40/hr

... business recommendations. Adapts instruction using Excel, Google Sheets, SQL platforms, and ... intermediate analysts building professional data analysis capabilities. * Effective Teaching ...

Varsity Tutors

SQL Tutor

Lawrence, MA · Remote

$18 - $40/hr

Emphasizes practical data retrieval skills and connects SQL to business intelligence, application ... analysis, software development, or database administration roles. * Effective Teaching Methods:

Eliassen Group

Principal Systems Analyst

Merrimack, NH · On-site

$60 - $85/hr

The role requires close collaboration across business and IT and a commitment to quality outcomes ... Strong SQL skills and proficiency with database query tools. * Strong understanding of IT processes ...

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

As of Sep 3, 2026, the average hourly pay for business analyst sql r python in Manchester, NH is $47.23, according to ZipRecruiter salary data. Most workers in this role earn between $35.43 and $59.13 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.

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Fixed Income Research Analyst I

Fidelity Investments

Merrimack, NH • On-site

Full-time

Posted 22 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 273 frontline employees who took The Breakroom Quiz

16th of 152 rated financial services

Job description


Note: Fidelity will not provide immigration sponsorship for this position.
Position Description:
Performs deep, independent credit research to add value to bond funds and performs minimal credit risk (MCR) assessments on credits for money market funds covering a subset of banks and finance companies, including Business Development Corporations (BDCs). Communicates credit opinions, relative value and MCR determinations to support security selection and portfolio positioning decisions through published written work and presentations. Researches economic, market, and policy developments to assess their impact on fixed income securities and portfolio exposures.
Primary Responsibilities:
  • Provides fundamental analysis of assigned issuers through qualitative and quantitative methods.
  • Generates investment ideas and responds to market opportunities, including assigning and updating ratings.
  • Builds and maintains analytical tools to support the research and investment process.
  • Engages in regular discussions on investment strategy and processes.
  • Collaborates effectively in team-based investment processes.
  • Maintains strong relationships with issuers, rating agencies, and external counterparts.
  • Monitors existing holdings and ratings.
  • Works closely with investment professionals across the organization, including equity, high income, alternatives, and asset allocation teams.
  • Ensures accuracy, consistency, and integrity of analytical outputs, models, and research materials used in the investment process.
  • Interacts regularly with other analysts, portfolio managers and traders across a variety of investment mandates as part of the team-based investment process.

Education and Experience:
Bachelor's degree in Computer Science, Engineering, Economics, Financial Markets, Finance, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Fixed Income Research Analyst I (or closely related occupation) performing credit research on financial institutions using independently established qualitative and quantitative methods within an investment management environment.
Or, alternatively, Master's degree in Computer Science, Engineering, Economics, Financial Markets, Finance, or a closely related field (or foreign education equivalent) and no experience.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") performing independent fixed income security, issuer, and sector analysis on financial institutions by integrating financial statements, capital structure data, and credit metrics into assessments of credit quality for investment mandates; designing and implementing advanced data acquisition, extraction, and analytical methodologies to pull and synthesize complex financial data from diverse regulatory sources -- Call Reports, SEC filings (10-K and 10-Q schedules), OSFI reports, and Form ADV filings; and augmenting the investment research process by improving the efficiency of data synthesis and identifying non-obvious patterns within large datasets to inform fundamental financial modeling and analysis, using programming languages (Python and SQL) and machine learning (ML) techniques.
  • DE designing and engineering automated data workstreams to analyze the underlying portfolios of BDCs and specialty finance companies; performing advanced coding in Python and SQL, alongside sophisticated ML techniques, including Natural Language Processing (NLP), to programmatically extract, parse, and structure granular investment-level data from unstructured and disparate sources -- private loan database (Reorg) and bankruptcy filing system (PACER); and creating aggregated datasets for conducting in-depth fundamental analysis, risk assessment, and valuation of portfolio holdings.
  • DE performing comprehensive credit analysis of financial institutions by leveraging private credit strategies (tech/ARR lending, specialty asset-backed lending, real estate lending, life science lending, and secondaries); and conducting a granular, "bottom-up" review of the quality and risk within underlying investment portfolios, and a "top-down," strategic assessment of business models, competitive positioning, and growth drivers within the financial institution space.
  • DE analyzing complex securities and financing arrangements across the capital structure to inform superior investment selection in public investment-grade credit; conducting comprehensive investment-grade credit analysis and relative-value and risk assessment; and performing integrated capital-structure evaluation (including private and traded loans, junior credit layers, and preferred/common equity).

#PE1M2
#LI-DNI
Fidelity'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 Professionals
Please 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.

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