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Data Analyst Jobs in Rowley, MA (NOW HIRING)

Senior Data Analyst

Boston, MA · On-site

$110K - $140K/yr

As a Senior Data Analyst at Tive, you will use your considerable experience to help lead Tive into its next phase of growth. One of Tive's primary focus areas for the next few years is on delivering ...

Investment Data Analyst Location: Boston, MA (Remote for good candidate but No PST candidates) Duration: 6+ months Contract Video Interview Note: Looking for a Sr. candidate with strong financial ...

Data Analyst I

Boston, MA · On-site

$53K - $75K/yr

Yes Experience Data Analysis Experience 0-1 year preferred Knowledge, Skills and Abilities - Building proficiency in statistics, data analysis, and data sets. - Proficient in time management and ...

Financial Data Analyst

Woburn, MA · On-site

$90K - $104K/yr

Financial and Data Analysts at New England Life Care transform complex financial and operational data into actionable insights that support strategic decision-making while ensuring the accuracy and ...

The MDM Data Analyst reports to the MDM/Data Governance Manager and is responsible for the end-to-end master data customer and product maintenance processes within U.S. Commercial Operations. This ...

MARS Solutions Group is looking for an experienced Data Analyst located in Boston MA. Our client is a leading independent asset management firm looking for high-quality talent to make a difference.

Sustainment Data Analyst

Tewksbury, MA · On-site

$107.50 - $204.50/hr

Demonstrated comprehensive planning skills with the ability to analyze technical and financial data and reports * Exceptional judgment and decision‑making * Initiative, quick learning of processes ...

Marketing Data Analyst II

Boston, MA · On-site +1

$68K - $125K/yr

Marketing Data Analyst II Salary Range: Salary Minimum: $68,500.00 Salary Maximum: $125,000.00 At Arthrex, we are dedicated to helping surgeons treat their patients better through innovative ...

MDM Data Analyst I Location: Lexington, MA, 02421 Duration: 12-+ Months Description: The MDM Data Analyst reports to the MDM/Data Governance Manager and is responsible for the end-to-end master data ...

(USA) Senior, Data Analyst

Kingston, NH · On-site

$88K - $171K/yr

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Senior Data Analyst Req ID: R-2469362 (USA) Senior, Data Analyst Location: Raymond, NH Role Summary Join Walmart as a Senior Data Analyst supporting field operations within the ambient supply chain ...

Showing results 21-40

Data Analyst information

See Rowley, MA salary details

$36.5K

$88.7K

$145.9K

How much do data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data analyst in Rowley, MA is $88,650.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $104,100.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the most commonly searched types of Data Analyst jobs in Rowley, MA?

The most popular types of Data Analyst jobs in Rowley, MA are:

What cities near Rowley, MA are hiring for Data Analyst jobs?

Cities near Rowley, MA with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Rowley, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $88,650 per year, or $42.6 per hour.

Senior Data Analyst

Tive

Boston, MA • On-site

$110K - $140K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible-so what people hold near and dear arrives on time and in full.
We believe (and live!) four core values:
  • Transparency First: We make everything visible so that everyone can operate better
  • Always strive to make things simpler
  • We are One Team, we have each other's backs
  • Relentless iteration to optimize and improve

Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full-because every shipment matters.
As a Senior Data Analyst at Tive, you will use your considerable experience to help lead Tive into its next phase of growth. One of Tive's primary focus areas for the next few years is on delivering actionable insights both to our customers and across our internal teams, spanning product, operations, and commercial functions. As a senior member of Tive's global Data Team, you will be responsible for developing customer-facing analytics products that illuminate supply chain health and shipment performance, while also building and maintaining the internal dashboards and data models that drive strategic decision-making across the business. The role will require significant experience and confidence in data analytics, SQL, and statistics. We are looking for someone already skilled at analyzing complex data, asking the right questions, and validating their own work, as well as being capable of contributing to peer reviews and quality analysis of work produced by other team members.
Key Responsibilities:
  • Create advanced SQL models that can be incorporated into the data transformation pipeline that feeds Tive's customer-facing analytics products
  • Design and optimize embedded dashboards and reporting solutions using data visualization tools.
  • Be a vocal and active participant in Data Analytics team meetings including solutioning sessions and sprint planning.
  • Help the analytics team to prioritize work and groom Jira tickets in a way that allows their work velocity to be predictable.
  • Identify and drive opportunities for process improvements in team workflows
  • Present complex findings in a clear and actionable manner to senior leadership and other stakeholders.
  • Stay up-to-date on industry trends and new technologies in data analytics

Our ideal candidate has:
  • Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science / Data Analytics or a related field.
  • 3+ years of industry experience in data analytics
  • Strong SQL skills
  • Proficiency in one or more data visualization tools (e.g., Sigma, Tableau, Power BI).
  • Familiarity with data warehousing, ETL processes, and cloud platforms (e.g., AWS).
  • Familiarity with Agile workflows including ceremony requirements and tools (e.g., Jira) used to manage such workflow.
  • Strong problem-solving skills and the ability to work with complex datasets.
  • Excellent communication skills, with the ability to translate technical information into business recommendations.
  • Experience working in a fast-paced, collaborative environment.
  • Excellent interpersonal and written/verbal communication skills
  • Familiarity with DBT is a plus.
  • Familiarity with Snowflake is a plus.
  • Familiarity with NetSuite and/or Salesforce is a plus.
  • Experience in supply chain monitoring, optimization, and analysis is a plus.

Compensation:
$110,000 - $140,000 base salary
The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set.
What does Tive offer?
  • A chance to join what may very well turn out to be the most important company in your career.
  • The autonomy and resources to build what you know how to build.
  • Work with a committed global team that have each others back.
  • Office-based or hybrid options. Your choice.
  • Competitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive's growth.

We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal-opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees.