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Data Analytics Jobs in Hudson, MA (NOW HIRING)

IBM

Data Engineer - Data & Analytics Platforms

Boston, MA · On-site

$87 - $128/hr

Your role and responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin ...

New

Mitre

Health Data Analytics Engineer

Bedford, MA

$120K - $144K/yr

The ideal candidate has a deep passion for software and technology and prior experience in data science and predictive health analytics. If you love: * Watching the analytics tools you build go from ...

Verastem

Vice President Data Analytics & Insight

Boston, MA · On-site

$315K - $375K/yr

Position Summary The Vice President, Market Data, Analytics & Insights is a high-impact role responsible for shaping andleading a best-in-class analytics capability that drives commercial performance ...

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Showing results 21-40

All JobsData Analytics JobsData Analytics Jobs in Hudson, MA

Data Analytics information

See Hudson, MA salary details

$25

$57

$99

How much do data analytics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data analytics in Hudson, MA is $57.60, according to ZipRecruiter salary data. Most workers in this role earn between $46.30 and $65.24 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are popular job titles related to Data Analytics jobs in Hudson, MA?

For Data Analytics jobs in Hudson, MA, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Hudson, MA look for?

The top searched job categories for Data Analytics jobs in Hudson, MA are:

What cities near Hudson, MA are hiring for Data Analytics jobs?

Cities near Hudson, MA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Hudson, MA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $119,818 per year, or $57.6 per hour.

Manager, Data Analytics and Insights

Fidelity Investments

Boston, MA • On-site

$120K - $141K/yr

Full-time

Re-posted 18 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 272 frontline employees who took The Breakroom Quiz

16th of 151 rated financial services

Job description


Position Description:
Note: Fidelity will not provide immigration sponsorship for this position.
Improves the quality and time-to-market of research initiatives for equities, fixed income, and alternative
investments, using quantitative techniques and methods -- advanced econometrics and statistics (probabilities, linear regressions, and time series data analysis). Develops analytical solutions that improve the investment process using Python, R, and SQL. Organizes and analyzes data, using SQL and Python. Performs data analysis and research via SQL and R. Identifies data issues, performs root cause analysis, and implements resolutions to improve data quality.
Primary Responsibilities:
  • Applies advanced analytics and quantitative concepts to support investment research.
  • Analyzes financial data to perform portfolio construction and alpha generation research.
  • Supports daily operations and detailed data analysis.
  • Identifies and resolves data issues, and answers helpdesk queries.
  • Works with vendors and business partners across the organization.
  • Interprets and acts on data results.
  • Brainstorms with the team on solutions to address challenges and roadblocks.
  • Processes daily operational tasks and helpdesk requests from consumers.
  • Assists in documentation and transition of new areas of work, while maintaining and updating procedural documents.
  • Proposes process enhancements.
  • Monitors the helpdesk queue and assists in logging incidents.
  • Raises issues to management as appropriate for resolution.
  • Participates in data management projects and initiatives that aim to improve data quality.
  • Assists in defining and executing test plans and supporting user acceptance testing for process enhancements.
  • Interprets results of financial analysis procedures.
  • Defines or recommends model specifications, or data collection methods.
  • Collaborates in the development or testing of new analytical software to ensure compliance with user requirements, specifications, or scope.

Education and Experience:
Bachelor's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Manager, Data Analytics and Insights (or closely related occupation) performing managed account data operations within a financial services environment.
Or, alternatively, Master's degree in Finance, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Manager, Data Analytics and Insights (or closely related occupation) performing managed account data operations within a financial services environment.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") maintaining accounts and supporting financial instrument data management operations within the financial services industry, using advanced VBA, SQL, and Python; and processing tasks and exceptions through advance software to process time-sensitive workflows and resolve rule-based outlier exceptions across financial instruments -- 40 Act mutual funds, customized funds, private equity, exchange-traded funds, broader market indices, customized indices, models, composites and common stocks-- in both U.S. and international markets.
  • DE working with performance and attribution engine systems and return calculation methodologies; analyzing model and composite return data for senior management reporting; executing fund setup and integrating holdings data for 40 Act and customized funds into FactSet, Style Research, and Bloomberg; and sourcing and analyzing financial instruments returns using Morningstar and Bloomberg applications.
  • DE designing robust data analysis templates for data quality validation and conducting advanced analyses, using VBA, SQL and Python to support investments management processes; building quantitative tools to deliver actionable insights on the performance of models, composites, and managed accounts; and identifying key drivers of anomalies by generating data-driven insights using SQL and Python.
  • DE identifying anomalies in enterprise financial data, ensuring the integrity and quality required for comprehensive analysis, using advanced rule-based techniques; developing robust SQL queries to support comprehensive data analytics; and transforming and analyzing complex datasets to empower stakeholders to make informed data-driven investment decisions, using advanced VBA, SQL and Python.

Salary: $120,000.00 to $141,000.00/year.
#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:
Business Analytics and Insights
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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