1

Data Analytics Jobs in Hudson, MA (NOW HIRING)

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Showing results 41-60

Data Analytics information

See Hudson, MA salary details

$25

$57

$99

How much do data analytics jobs pay per hour?

As of Sep 8, 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:

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.

Senior Manager, Data Analytics and Insights

Soteria Reinsurance Ltd.

Boston, MA โ€ข On-site

$125 - $150/hr

Other

Posted 20 days ago


Key responsibilities

  • Performs end-to-end reporting and analytics operations to deliver timely, accurate, and reliable analytical outputs.

  • Ensures data availability, quality, and process stability by monitoring inputs, workflows, and outputs.

  • Responds to complex, ad-hoc analytical requests by providing data-driven insights and support for strategic initiatives.


Job description

## Senior Manager, Data Analytics and InsightsApplylocations: Boston, MAtime type: Full timeposted on: Posted Todaytime left to apply: End Date: September 22, 2026 (30+ days left to apply)job requisition id: 2133586## ## Job Description:**Note: Fidelity will not provide immigration sponsorship for this position.****Position Description**:Analyzes and builds equity datasets and analytical outputs used across quantitative research, risk modeling, and performance attribution. Calculates and applies a broad range of equity analytics, including portfolio risk, return attribution, EPS, fundamental ratings, and fundamental equity factors, across granular and aggregated analytical layers. Maintains complex SQLโ€based transformations, analytical datasets, and factorโ€model components that serve as foundational inputs to quantitative research and performance attribution algorithms. Develops diagnostic routines, dataโ€profiling scripts, and integrity checks to monitor computational accuracy, detect anomalies, and ensure deterministic analytical outputs across distributed systems. Implements and evolves data domains, model enhancements, and analytical capabilities by architecting ingestion frameworks, integrating vendor datasets, and optimizing storage and computer environments for highโ€volume model execution.**Primary Responsibilities:*** Performs endโ€toโ€end reporting and analytics operations, ensuring timely, accurate, and reliable delivery of daily, weekly, monthly, and adโ€hoc analytical outputs across key business areas.* Ensures data availability, quality, and process stability, monitoring inputs, workflows, and analytical outputs to maintain high standards of data integrity and reporting accuracy.* Responds to complex, adโ€hoc analytical requests, providing data-driven insights and support for strategic initiatives, research projects, and leadership priorities.* Develops and enhances analytical tools, dashboards, and visualizations to communicate trends, business drivers, and performance insights to a wide range of stakeholders.* Designs, improves, and automates data and analytical processes, including developing new calculations, identifying data anomalies, and creating new reporting capabilities.* Participates in multiple concurrent projects, assists with planning, prioritization, resource co-ordination, risk assessment, and timely delivery in a fastโ€paced environment.* Acts as a primary liaison across business partners, technology teams, research groups, and external vendors, ensuring alignment and clear communication throughout the analytics ecosystem.* Troubleshoots and resolves data or technology issues, ensuring continuity in analytical pro-duction and delivery of highโ€quality outputs.* Provides analytical and technical guidance to senior leadership, contributing to strategic planning materials, prototypes, and recommendations.* Mentors and develops junior team members.**Education and Experience**:Bachelorโ€™s degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and five (5) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.Or, alternatively, Masterโ€™s degree in Finance, Economics, Business Analytics, Computer Science, Engineering, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Manager, Data Analytics and Insights (or closely related occupation) performing portfolio risk, return attribution, and equity and data analytics.**Skills and Knowledge**:Candidate must also possess:* Demonstrated Expertise (DE) performing quantitative investment research and financial data analysis, including constructing and analyzing security- and portfolio-level datasets; and analyzes and structures earnings-per-share estimates, and analyst forecasts, returns, and active weights, using Python, R, and SQL.* DE conducting portfolio performance attribution and risk analysis, including Brinson attribution, decomposition of portfolio returns, evaluation of benchmark-relative performance, analysis of factor exposures and sensitivities, and measurement of portfolio-level risk metrics (tracking error and beta), using Python, SQL, FactSet Portfolio Analysis Tool, and Barra Portfolio Manager.* DE designing, developing, and implementing advanced analytical tools, data pipelines, and multi-factor models to support stock selections and investment decision making, including data modeling, automation of recurring calculations, validation of inputs and outputs, and building interactive dashboards and visualizations using Python, SQL, Tableau, and Excel.* DE sourcing, validating, and integrating market, fundamental, and reference data to support in-vestment and risk analysis, including working with equity and portfolio datasets, reconciling vendor data, and ensuring data quality and consistency using Bloomberg and FactSet platforms.Salary: $131,225.00 to $166,000.00/year.#PE1M2#LI-DNIFidelityโ€™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 InsightsPlease be advised that Fidelityโ€™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.### About UsAt Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com.Fidelity Investments is an equal opportunity employer. #J-18808-Ljbffr