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Data Analytics Jobs in Walpole, MA (NOW HIRING)

US Bank

Data & Analytics Product Lead

Boston, MA · Hybrid

Bank is seeking an experienced Data & Analytics Product Lead to drive the strategy, roadmap, prioritization, and delivery of data and analytics products supporting key business segments. This role ...

Mitre

Senior Software Developer, Data Analytics

Bedford, MA · On-site

$57.25 - $75.75/hr

Join the MITRE Data Analytics team where you will provide software development, algorithm development, and data analytics (to include big data analytics, data mining, and data science) to enable data ...

City of Worcester

DATA ANALYST

Worcester, MA · On-site

$71K - $93K/yr

Associate's degree in computer science, information systems, information technology, data analytics, or related field AND; * Two (2) years of experience in technical support, systems administration ...

Digital Links Inc

Data Analyst

Canton, MA · Remote

... data, analytics, and information-management initiatives within the healthcare payer domain. The selected candidate will partner with business and technical teams to develop scalable analytical ...

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All JobsData Analytics JobsData Analytics Jobs in Walpole, MA

Data Analytics information

See Walpole, MA salary details

$26

$59

$103

How much do data analytics jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for data analytics in Walpole, MA is $59.69, according to ZipRecruiter salary data. Most workers in this role earn between $47.98 and $67.60 per hour, depending on experience, location, and employer.

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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are the most commonly searched types of Data Analytics jobs in Walpole, MA? The most popular types of Data Analytics jobs in Walpole, MA are:
What job categories do people searching Data Analytics jobs in Walpole, MA look for? The top searched job categories for Data Analytics jobs in Walpole, MA are:
What cities near Walpole, MA are hiring for Data Analytics jobs? Cities near Walpole, MA with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Walpole, MA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $124,157 per year, or $59.7 per hour.

Senior Data Engineer - Credit Data Analytics

MDAEdge

Providence, RI • On-site

$115K - $138K/yr

Full-time

Re-posted 17 days ago

Job description

Job Summary:
MDAEdge is a company focused on delivering data-driven solutions, and they are seeking a Senior Data Engineer to drive data engineering efforts. The role involves developing analytics and automation solutions, managing complex data sets, and providing technical leadership across multiple systems and domains.
Responsibilities:
• The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology. Intellectual curiosity will drive critical thinking to produce optimal solutions. Strong time management, coordination, communication, and presentation skills are a must in this role.
• Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems.
• Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality.
• Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement.
• Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines.
• Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes.
• Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype toolsets and improve existing processes.
• Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls.
• Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.)
• Supports the design and execution of new analytics, automated testing tools, and models.
• Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work.
• Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities.
• Exercises judgment, critical thinking, and sound communication skills to influence business partners.
• Coaches/trains junior team members in execution of analytics and automation activities.
Qualifications:
Required:
• Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools.
• Advanced skills in Microsoft Excel.
• Advanced analytic skills that demonstrate the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies and trends, and understand drivers of changes within data.
• Strong track record of implementing automated solutions related to data & analytics, including the ability to extract, organize, and present the data in user-friendly reports, dashboards or tools.
• Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision.
• Strong written and oral communication skills, with ability to communicate with both technical and executive audience.
Preferred:
• Experience with one or more of the following as plus: model development, machine learning/artificial intelligence (AI), and data science.
• Experience with one or more of the following a plus: DataRobot, Instabase, and UIPath.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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