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Entry Level Economic Data Analyst Jobs in Boston, MA

Statistics, Mathematics, Economics, Finance, Computer Science) or equivalent practical experience ... Strong analytical and debugging mindset; diagnose data inconsistencies systematically and drive ...

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... Data Analysis, Project Management and Economics. Financial based Internships or Financial related ... They are entry level contract/temp-to-perm positions which could potentially evolve into fulltime ...

2027 Analysts - US

Boston, MA · On-site

$105K/yr

Strong interest in Economics/Finance, statistical programming and data analysis. Excellent written and oral communication skills. Preferred qualifications: Significant coursework in economics ...

... economics, public health, informational technology, and communications. We hire people with the ... Provide additional data analysis and technical communications support on environmental ...

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... economics, public health, informational technology, and communications. We hire people with the ... Provide additional data analysis and technical communications support on environmental ...

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Showing results 21-40

Entry Level Economic Data Analyst information

See Boston, MA salary details

$14

$35

$67

How much do entry level economic data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for entry level economic data analyst in Boston, MA is $35.77, according to ZipRecruiter salary data. Most workers in this role earn between $22.98 and $39.95 per hour, depending on experience, location, and employer.

What does an entry level economic data analyst do?

An Entry Level Economic Data Analyst collects, processes, and analyzes economic data to help organizations understand market trends and make informed decisions. They use statistical tools and software to interpret data, create reports, and visualize findings. Their work often supports economists and senior analysts in researching topics such as employment, inflation, and GDP. Typical tasks include data cleaning, running basic analyses, and preparing presentations or summaries for internal or external stakeholders.

What are the key skills and qualifications needed to thrive as an entry level economic data analyst?

To thrive as an Entry Level Economic Data Analyst, you need a solid background in economics, statistics, and data analysis, often supported by a bachelor’s degree in economics, finance, or a related field. Familiarity with data analysis tools such as Excel, SQL, R, or Python, as well as experience with data visualization platforms like Tableau, is typically required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret and present complex data findings clearly. These skills are crucial for generating accurate insights and supporting sound decision-making within organizations.

What types of projects or analyses can an entry level economic data analyst expect to work on in their first year?

As an entry level economic data analyst, you can expect to work on a variety of projects that involve cleaning, organizing, and interpreting economic datasets. Typical tasks include supporting senior analysts with data collection, preparing reports on economic trends, and performing basic statistical analysis using software like Excel or R. You'll often collaborate with economists, policy analysts, and other team members to ensure data accuracy and contribute insights for decision-making. Over time, you'll gain exposure to more complex modeling and have the opportunity to present your findings to stakeholders, which can help you develop both technical and communication skills.

What is the difference between Entry Level Economic Data Analyst vs Entry Level Data Analyst?

AspectEntry Level Economic Data AnalystEntry Level Data Analyst
Required CredentialsBachelor's in Economics, Statistics, or related field; some roles prefer internshipsBachelor's in Data Science, Statistics, or related field; internships beneficial
Work EnvironmentFinancial institutions, government agencies, consulting firmsTech companies, finance, healthcare, consulting
Employer & Industry UsageUsed in economic research, policy analysis, market forecastingApplied in business analytics, product development, market research

Entry Level Economic Data Analysts focus on economic data, policy, and market trends, often working in government or financial sectors. Entry Level Data Analysts have a broader scope, working across various industries with diverse datasets. While both roles require similar educational backgrounds, their industry focus and typical tasks differ, making this comparison useful for those exploring career options in data analysis.

Can I become an entry level economic data analyst with an economics degree?

An economics degree provides a strong foundation for an entry-level economic data analyst role, as it covers key concepts in economic theory and quantitative analysis. Skills in data analysis tools like Excel, SQL, or statistical software such as R or Stata are also important for this position. Additional certifications or internships can enhance employability in this field.

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

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

What are popular job titles related to Entry Level Economic Data Analyst jobs in Boston, MA?

For Entry Level Economic Data Analyst jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Economic Data Analyst jobs in Boston, MA look for?

The top searched job categories for Entry Level Economic Data Analyst jobs in Boston, MA are:

What cities near Boston, MA are hiring for Entry Level Economic Data Analyst jobs?

Cities near Boston, MA with the most Entry Level Economic Data Analyst job openings:

Infographic showing various Entry Level Economic Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 3% Internship, 80% Full Time, 10% Part Time, and 7% Contract. Highlights an 87% In-person, 3% Hybrid, and 10% Remote job distribution, with an average salary of $74,405 per year, or $35.8 per hour.

Senior Customer Operations Data Analyst

Mimecast Limited

Lexington, MA • On-site

$124 - $186/hr

Other

Posted 5 days ago


Job description

Senior Customer Operations Data Analyst - hybrid role based in Lexington, MAAbout Mimecast

The work people build is worth protecting, and it's harder to protect than it used to be. AI agents now move at machine speed with human-level access, and a small slip-up can become a very public one. We disrupt cybercriminal activity before that happens. We think fast, go big, and always demand more of ourselves. We work hard, deliver, and repeat. We grow with real determination and put success well within reach. We push each other to be better and expect to be pushed back, in a community built on respect, where everyone is counted. Work Protected.

Overview

As the analytical backbone of our Customer Experience & Delivery (CxD) organization, you'll provide the insight that helps leaders across Support, Professional Services, Customer Success, and Renewals make better decisions. You'll own metrics and reporting for each function, identify risk across the customer base, and deliver timely analysis of operational performance, customer cohorts, process bottlenecks, and emerging issues. You'll partner closely with CxD leaders to turn ambiguous business questions into clear, actionable insights. You'll also work alongside Mimecast's corporate AI team and CxD's AI initiatives to define success measures and evaluate the customer and operational impact of AI-driven tools. This highly visible senior individual contributor role is suited to someone equally comfortable building recurring dashboards and pressure-testing a hypothesis with ad hoc SQL. This role reports to a Manager or Director within CxD Operations & Analytics and is remote or hybrid in line with Mimecast's location policy.

What You'll Do
  • Design, build, and maintain recurring dashboards and reporting for Support, Professional Services, Customer Success, and Renewals, covering metrics such as SLA and CSAT performance, ticket volume and resolution time, utilization, engagement, and renewal and retention rates
  • Analyze usage, support, engagement, and financial data to identify at-risk accounts and segments, refine risk-scoring approaches, and proactively surface emerging trends to CxD leadership
  • Deliver timely deep-dive analyses of operational performance, customer cohorts, process bottlenecks, and emerging issues, with clear findings and actionable recommendations
  • Partner directly with CxD function leaders to understand evolving data needs, define and refine KPIs, and translate ambiguous business questions into structured analyses
  • Mine operational data to identify cross-functional trends and connect insights that individual teams may not see on their own
  • Partner with Mimecast's corporate AI team and CxD AI workstreams to define success metrics, track project performance, and measure the impact of AI-driven tools on customer and operational outcomes
  • Validate the accuracy and integrity of data from systems such as Salesforce, Gainsight, Zendesk or ServiceNow, and Snowflake, resolving or escalating quality issues at the source
  • Automate recurring reporting and develop self-service analytics that enable CxD teams to answer routine questions independently
What You'll Bring
  • A bachelor's degree in Business, Data Analytics, Statistics, Economics, or a related field, or equivalent practical experience
  • Substantial experience independently delivering data analysis, business intelligence, or operations analytics in a complex environment, ideally within customer support, customer success, or professional services
  • Advanced SQL skills and experience querying and modeling large datasets in a cloud data warehouse such as Snowflake, Redshift, or BigQuery
  • Proficiency with a BI and visualization platform such as Tableau, Power BI, or Looker
  • Hands-on experience with CRM or customer success platforms such as Salesforce, Gainsight, Zendesk, or ServiceNow
  • Advanced Excel or Google Sheets skills, including pivot tables and complex formulas
  • Strong business acumen and the ability to translate data into clear, actionable recommendations for non-technical stakeholders
  • Excellent written and verbal communication skills, with confidence presenting findings directly to functional leaders
  • The judgment and autonomy to manage multiple concurrent requests and prioritize effectively in a fast-moving environment
  • Experience using Python or R for statistical analysis, forecasting, or risk and propensity modeling is advantageous
  • Familiarity with AI and machine learning concepts, including partnering with data science or AI teams to define and track success metrics, is advantageous
  • Experience in SaaS, cybersecurity, or enterprise technology, particularly building customer health scores or churn and renewal risk models, is advantageous
  • Familiarity with workflow automation and self-service BI adoption practices is advantageous

The base salary range for this position is $124,000-$186,000 plus benefits. This range represents the minimum and maximum new hire compensation for this role. The position may also be eligible for incentive plans and additional benefits, in accordance with company policy and local regulations. Our salary ranges are determined by role, level, and location with individual compensation also dependent on factors such as qualifications, experience, and skills. Final offers will reflect these considerations and may vary accordingly.

#LI-ND1

Belonging at Mimecast

Cybersecurity is a community effort.

That's why we're committed to building an inclusive, diverse community that celebrates and welcomes everyone - unless they're a cybercriminal, of course.

We're proud to be an Equal Opportunity and Aff… (we'd encourage you to join us whatever your background).

We particularly welcome applicants from traditionally underrepresented groups.

We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application.

If you require any adjustments or accommodations due to a disability, or any other reason that may help you in your interview process, please let us know by emailing careers@mimecast.com.

Due to certain obligations to our customers, an offer of employment will be subject to your successful completion of applicable background checks, conducted in accordance with local law.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment.

We save companies the embarrassment of awkward data slip ups by disrupting cybercriminal activity. We think fast, go big and always demand more. We work hard, deliver - and repeat. We grow with meaningful determination. And put success well within our reach. We empower each other, live by our values, and always deliver on our purpose. We push each other to be better and expect to be pushed back. This is a community of respect. Where everyone is counted.

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