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Data Analyst Jobs in Rochester, NH (NOW HIRING)

Financial Data Analyst

Concord, NH · 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 ...

(USA) Senior, Data Analyst

Auburn, 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 ...

(USA) Senior, Data Analyst

Candia, 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 ...

(USA) Senior, Data Analyst

Epping, 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 ...

(USA) Senior, Data Analyst

Sandown, 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 ...

(USA) Senior, Data Analyst

Deerfield, 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 ...

(USA) Senior, Data Analyst

Raymond, 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 ...

(USA) Senior, Data Analyst

Danville, 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 ...

(USA) Senior, Data Analyst

Fremont, 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 ...

(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 ...

(USA) Senior, Data Analyst

Chester, 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 ...

(USA) Senior, Data Analyst

Raymond, NH · On-site +1

$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 ...

Data Analyst information

See Rochester, NH salary details

$33.3K

$80.9K

$133.1K

How much do data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data analyst in Rochester, NH is $80,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $94,900.00 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 Rochester, NH? The most popular types of Data Analyst jobs in Rochester, NH are:
What job categories do people searching Data Analyst jobs in Rochester, NH look for? The top searched job categories for Data Analyst jobs in Rochester, NH are:
What cities near Rochester, NH are hiring for Data Analyst jobs? Cities near Rochester, NH with the most Data Analyst job openings:
Infographic showing various Data Analyst job openings in Rochester, NH as of July 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $80,881 per year, or $38.9 per hour.
Financial Data Analyst

Financial Data Analyst

New England Life Care

Concord, NH • On-site

$90K - $104K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


New England Life Care rating

6.3

Company rating: 6.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz


Job description

NELC is one of the fastest growing home infusion therapy services companies in New England and is the region’s only non-profit home infusion provider. NELC is a hospital collaborative serving more than 70 hospital systems in Maine, New Hampshire, and Massachusetts. NELC was created by local hospitals to ensure their patients have access to a provider that reflects their commitment to excellence in patient care, quality, and service. Like our owner hospitals, NELC provides patient focused care.

New England Life Care has and continues to build a diverse, inclusive, and authentic workplace, so if you’re energized by this opportunity, we encourage you to apply!

New England Life Care currently has an opening for a Financial Data Analyst. This position typically works Monday through Friday from 8:00am until 5:00pm. Although classified as a remote position, occasional travel is required to a branch location. The ideal candidate for this role will have working knowledge of AI analytics and BI dashboard; audit AI-driven systems and ensure regulatory compliance; and be able to speak to how they have used AI to strengthen forecasts, variance analysis, and reporting in previous roles.


**Although this is a remote position, we are only hiring in the following states: Massachusetts, New Hampshire, and Maine.**



Summary:

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 integrity of all reporting. Candidates in this role are expected to be active practitioners and champions of AI-assisted analytics — leveraging tools such as Claude, Microsoft Power Query, and Power Automate to drive automation, efficiency, and data quality. Beyond their own work, they play a key role in advancing NELC’s broader AI adoption and participate directly in the organization’s AI governance framework. They collaborate with stakeholders across the organization to understand business needs, design analytical solutions, and lead efforts in data collection, reporting, and visualization.

Benefits:

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Generous employer-matched 403b savings program
  • Company paid: Life insurance, Short- and long-term disability insurance
  • Paid time off
  • And much more!


Primary Responsibilities:

  • Collect, clean, and analyze financial and operational data from multiple internal systems; use AI-assisted tools (including Claude) to accelerate data validation, anomaly detection, and cross-source reconciliation
  • Develop and maintain advanced financial and operational models in Excel — as a designer, not just a user — and leverage Power BI for visualization and Power Query for automated data transformation
  • Build and maintain Power Automate workflows to reduce manual reporting steps, automate data refreshes, and improve operational efficiency across finance functions
  • Actively use Claude and other AI tools to generate analytical narratives, draft variance explanations, and identify trends that inform strategic recommendations
  • Champion AI adoption within the organization by training colleagues, sharing practical use cases, and developing repeatable AI-assisted workflows that teams can adopt
  • Serve as an active participant in NELC’s AI governance framework — contributing to the development of responsible use standards, data policies, and compliance guidelines for AI tools in a healthcare environment
  • Contribute to the annual budgeting and quarterly forecasting processes, ensuring alignment with organizational goals and leveraging AI tools to improve accuracy and speed
  • Analyze monthly financial results and trends to deliver actionable insights and strategic recommendations to senior management
  • Identify trends, variances, and anomalies and communicate findings proactively to stakeholders, using AI-generated summaries and dashboards where applicable
  • Structure and analyze large, complex data sets to uncover patterns, trends, and business opportunities
  • Perform routine data quality checks and reconciliations to ensure consistency across data, reporting, and outcomes
  • Collaborate with internal and external stakeholders to gather requirements, validate data, and ensure accuracy in reporting
  • Create clear and compelling presentations and reports based on analytical findings and recommendations
  • Design, maintain, and enhance dashboards and visualizations that communicate key metrics across the organization
  • Maintain knowledge of applicable regulations and policies, including healthcare finance, reimbursement models, and HIPAA requirements as they relate to data and AI use

Educational and Professional Requirements:

  • Bachelor’s degree in Finance, Accounting, Economics, Business Analytics, Data Analytics, or a related field; Master’s degree a plus
  • 2–4 years of experience in financial analysis, data analytics, or a similar role; healthcare industry experience preferred
  • Demonstrated experience using AI tools (e.g., Claude, Microsoft Copilot, or equivalent) in a professional analytics or finance context
  • Proficiency with Microsoft Power Query and Power Automate for data pipeline and workflow automation
  • Familiarity with healthcare finance, reimbursement models, or regulatory compliance is a plus


Preferred Skills:

  • High level of mathematical and analytic ability
  • High-level problem-solving skills
  • A methodical and logical approach to data and process challenges
  • Advanced proficiency in Microsoft Excel (design and modeling, not just data entry)
  • Proficient with Microsoft Office suite and Power Platform tools (Power BI, Power Query, Power Automate)
  • Practical experience with AI-assisted analytics tools and the ability to prompt, evaluate, and integrate AI outputs responsibly
  • Excellent interpersonal, written, and verbal communication skills


''It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.''


Note on AI Governance Participation

New England Life Care is committed to the responsible adoption of AI across its operations. This role is expected to be an active contributor — not a passive observer — to NELC’s AI governance process. That includes helping to define acceptable use guidelines, evaluating tools for HIPAA compliance, flagging potential data risks, and serving as a trusted resource for colleagues adopting AI in their own workflows. Candidates should bring both enthusiasm for AI’s potential and a clear-eyed understanding of its limitations.



EOE


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