Next Insurance

31 Next Insurance Data Analyst Jobs Hiring Near You

Analyze and solve problems across all levels of the stack * Produce clean, secure, testable ... Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job ...

Diagnose complex issues across data pipelines, model serving and backend components. This role ... Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job ...

AI Engineer

Boston, MA · On-site

$152K - $206K/yr

Diagnose complex issues across data pipelines, model serving and backend components. This role ... Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job ...

AI Engineer

Waltham, MA · Hybrid

$152K - $206K/yr

Diagnose complex issues across data pipelines, model serving and backend components. This role ... Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job ...

Premium Audit Senior Manager

Boston, MA · Remote

$125K - $155K/yr

Data Strategy & Executive Reporting: Refine and deliver weekly, monthly, and quarterly reporting on ... ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and ...

Showing results 21-31

Next Insurance Jobs Information

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 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.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

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.

What are the most popular categories at Next Insurance?
Infographic showing various Data Analyst job openings at Next Insurance in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution.

Editorial Partnerships & Digital PR Manager

Next Insurance

Boston, MA • On-site, Remote

Other

Posted 10 days ago


Job description

Location: Waltham, MA (hybrid 3 days in office) Or Remote

ERGO NEXT's mission is to help entrepreneurs thrive. We're doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. 

Simply put, wherever you find small businesses, you'll find ERGO NEXT.

Since 2016, we've helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We're backed by industry leaders in insurance and tech, and we still have room to grow - that's where you come in.

We are hiring an Editorial Partnerships & Digital PR Manager to ensure ERGO NEXT appears consistently in the buyer guides, listicles, and product roundups that influence how small businesses choose insurance providers.

This role sits at the intersection of digital PR, editorial outreach, SEO, and partnerships. Your mission is simple: identify the publishers and editors that shape category recommendations, build relationships with them, and ensure ERGO NEXT is fairly represented when they evaluate small business insurance providers. Success in this role means ERGO NEXT becomes a regularly recommended brand across trusted publications, strengthening both brand credibility and organic discovery.

What You'll Do: 

  • Drive Inclusion in Buyer Guides and Listicles. Identify and prioritize the editorial content that shapes purchasing decisions for small businesses.
  • Develop outreach strategies that secure and maintain placement in these high-intent recommendations.
  • Build Relationships with Editors and Publishers. Become a trusted source for publications covering small business tools, entrepreneurship, and financial services.
  • Influence Category Coverage. Pitch story angles, insights, and data that help editors understand how ERGO NEXT serves small businesses. Ensure ERGO NEXT is considered when publications update or refresh their recommendation lists.
  • Collaborate with Growth & SEO Teams. Partner with SEO, content, and growth teams to ensure earned placements strengthen.
  • Manage PR Agency Execution. Guide and hold accountable external PR agencies supporting outreach and placement efforts.Set clear priorities for listicle inclusion, editorial outreach, and publisher relationships.
  • Measure Impact and use data to refine outreach strategy and prioritize the publications that matter most.

What We Need: 

  • We're looking for someone who understands how editorial recommendations influence discovery and purchasing decisions.
  • 4-8 years in digital PR, editorial outreach, SEO partnerships, or publisher relations
  • Experience securing placements in buyer guides, product roundups, or editorial recommendations
  • Strong relationship-building skills with editors, journalists, or publishers
  • Familiarity with how editorial coverage influences search visibility and AI-driven discovery
  • Comfort working with performance metrics and tracking business impact

 

Unstoppable Qualities: 

  • Being proactive and persistent in outreach
  • Someone comfortable building relationships with editors and publishers
  • Someone curious about how search, media, and AI shape brand discovery
  • Someone excited to build a new capability with measurable business impact

Note on Fraudulent Recruiting

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. 

Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. 

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.