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Data Analyst Jobs in Rindge, NH (NOW HIRING)

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

The Data Engineer will work closely with the IS Lead, Data Analyst, Business Analyst, corporate IT, implementation partners, functional data owners, and the AI Solutions & Automation team. The role ...

Data Analyst information

See Rindge, NH salary details

$33.4K

$81.2K

$133.7K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analyst in Rindge, NH is $81,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,300.00 per year, depending on experience, location, and employer.

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 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.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

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.

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 Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

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.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Rindge, NH? The most popular types of Data Analyst jobs in Rindge, NH are:
What cities near Rindge, NH are hiring for Data Analyst jobs? Cities near Rindge, NH with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Rindge, NH as of July 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $81,219 per year, or $39 per hour.
Lead Data Analyst

$99K - $167K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


American Family Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

214th of 299 rated insurance


Job description

This position provides analytics services to the business, delivering insights, measurement frameworks, and data-driven recommendations that support strategic decision-making across key initiatives. You will lead analytics efforts across a diverse portfolio of business programs, including AI/ML initiatives, product enhancements, operational improvements, and customer experience efforts. Partner with Data Science, Product, Engineering, and business stakeholders to deliver interpretable analyses, governed datasets and pipelines, and actionable reporting solutions. Develop dashboards and monitoring frameworks that track business outcomes, operational performance, and, where applicable, model health, adoption, and fairness metrics. Establish analytics best practices, mentor analysts, and communicate executive-ready insights and recommendations that drive measurable business value.

Position Compensation Range:

$99,000.00 - $167,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

Primary Accountabilities

  • Works with business partners in the development and delivery of key performance analysis and reporting.
  • Builds and maintains various models used to project business results; enhances the model where there is business value in adjusting the models.
  • Ensures analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
  • Creates, executes and maintains forecasting models; speaks to the underlying assumptions and inter-workings of the model used to create the forecast.
  • Communicates findings to various stakeholders and leadership with recommendations for actions to address business changes, trends, and issues.
  • Evaluates, designs, tests and maintains data/analytics systems and make recommendations for new tools and system enhancements.
  • Develops, tests, and deploys complex automated reporting solutions and automated decision analytics to replace manual business processes.
  • Develops and defines standard analytics and reporting governance and communication and ensures adherence to standards.


Specialized Knowledge & Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support or service.
  • Solid knowledge and understanding of forecasting techniques or statistical analysis or data modeling or data mining.
  • Demonstrated experience utilizing software tools to query and report data.
  • Demonstrated experience with a variety of standard reporting software packages and best practices for report deployment processes.
  • Demonstrated experience communicating/presenting complex and independent concepts and unbiased fact-based decision-making and financial performance.
  • Demonstrated experience developing complex data sets for wide-spread use.
  • Lead end-to-end analytics and experimentation for AI/ML programs. This includes use-case discovery, Measurement definition, data requirements, measurement plan, and post-launch monitoring. The goal is to measure growth and model performance.

  • Partner with Data Science, Product, Engineering, and partners to translate AI problems into clear analytical questions. Define success metrics, such as/recall, drift, and fairness, and ensure solutions are interpretable and applicable.

  • Develop scalable datasets, feature/label definitions, and analytical pipelines; ensure data quality, lineage, and governance readiness for AI products.

  • Develop dashboards and recurring insights on model health and adoption (performance, stability, bias, customer outcomes), and flag risks/opportunities.

  • Establish best practices for AI analytics: documentation, reproducible analysis, experiment design, metric standards, and model monitoring/validation requirements.

  • Mentor analysts and influence standards across the team; communicate insights to executives through crisp narratives, visuals, and recommendations.

We will expect you to work 10 days per month from the office. You should reside within approximately 35-50 miles of one of the following office locations: Madison, WI 53783; Boston, MA 02110; Denver, CO; Hopkins, MN; Phoenix, AZ, St Joseph, MO & Keene, NH

#LI-Hybrid


Licenses

  • Not Applicable.


Travel Requirements

  • Up to 10%.


Physical Requirements

  • Work that primarily involves sitting/standing.


Working Conditions

  • Not Applicable.
Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.


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