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Remote Entry Level Data Analyst Jobs in Nashua, NH

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

New

... analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you ... Provide professional, responsive support to clients and vendors Job Location United States - Remote ...

... analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you ... Provide professional, responsive support to clients and vendors Job Location United States - Remote ...

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Remote Entry Level Data Analyst information

See Nashua, NH salary details

$13

$33

$62

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

As of Aug 30, 2026, the average hourly pay for remote entry level data analyst in Nashua, NH is $33.26, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $37.16 per hour, depending on experience, location, and employer.

What is a remote entry level data analyst?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What does a remote entry level data analyst do?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

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

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

How to get a job as a remote entry level data analyst with no experience?

To secure a remote entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or certifications. Create a strong resume highlighting relevant coursework, projects, or internships, and apply to entry-level roles that often value transferable skills and willingness to learn, while demonstrating your ability to work independently in a remote environment.

Is it possible to get a remote job as a remote entry level data analyst?

Yes, remote entry-level data analyst positions are available and increasingly common. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often accept candidates with relevant certifications or coursework. Many companies offer remote work options for entry-level analysts, especially in the current digital and flexible work environment.

What are popular job titles related to Remote Entry Level Data Analyst jobs in Nashua, NH?

For Remote Entry Level Data Analyst jobs in Nashua, NH, the most frequently searched job titles are:

What job categories do people searching Remote Entry Level Data Analyst jobs in Nashua, NH look for?

The top searched job categories for Remote Entry Level Data Analyst jobs in Nashua, NH are:

What cities near Nashua, NH are hiring for Remote Entry Level Data Analyst jobs?

Cities near Nashua, NH with the most Remote Entry Level Data Analyst job openings:

Infographic showing various Remote Entry Level Data Analyst job openings in Nashua, NH as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,176 per year, or $33.3 per hour.

Senior Customer Operations Data Analyst

Mimecast

Lexington, MA • On-site, Remote

$124K - $186K/yr

Full-time

Posted yesterday

New


Job description

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

About 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 Affirmative Action Employer, and 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.