1

Data Analytics Jobs in Loudon, NH (NOW HIRING)

Financial Data Analyst

Concord, NH ยท On-site

$90K - $104K/yr

The ideal candidate for this role will have working knowledge of AI analytics and BI dashboard ... Summary: Financial and Data Analysts at New England Life Care transform complex financial and ...

(USA) Senior, Data Analyst

Deerfield, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Nottingham, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Candia, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Auburn, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Danville, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Sandown, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Epping, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Raymond, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Fremont, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Chester, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

East Candia, NH ยท On-site

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

(USA) Senior, Data Analyst

Raymond, NH ยท On-site +1

$88K - $171K/yr

Background in data analytics, software development, or web development * Familiarity with applying AI or intelligent automation to solve business problems * Strong problem-solving skills with the ...

next page

Showing results 1-20

Data Analytics information

See Loudon, NH salary details

$24

$55

$94

How much do data analytics jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data analytics in Loudon, NH is $55.01, according to ZipRecruiter salary data. Most workers in this role earn between $44.18 and $62.31 per hour, depending on experience, location, and employer.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What cities near Loudon, NH are hiring for Data Analytics jobs? Cities near Loudon, NH with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Loudon, NH as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,421 per year, or $55 per hour.

Analyst 2, Data Analytics & Business Intelligence

Comcast

Manchester, NH โ€ข On-site, Remote

Full-time

Posted 15 days ago


Job description

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

This job works closely with stakeholders to define data needs, develop models, and extract actionable insights for informed decision-making. It leverages advanced analytics and big data platforms to predict trends and measure business performance. The role also upholds data governance standards to ensure quality and compliance in analytics.

Job Description

This position is an in-office role 4 days a week and 1 day remote.

Responsibilities:

AI-Driven Forecasting & Planning

  • Lead the development and implementation of AI-enabled forecasting solutions.
  • Apply machine learning, predictive analytics, and scenario modeling to improve forecast accuracy and business planning.
  • Design and maintain rolling forecast frameworks that automatically incorporate changing business conditions.
  • Drive automation of forecast updates, assumptions management, variance analysis, and reporting.

Budget & Financial Performance Optimization

  • Modernize budget development and forecasting processes through automation and AI.
  • Develop intelligent models that identify risks, opportunities, and performance drivers.
  • Create automated budget allocation and investment optimization frameworks.
  • Support long-range planning through advanced business and financial modeling.
  • Improve planning cycle speed while enhancing transparency and accountability.

Performance Management Transformation

  • Build AI-driven performance management capabilities that identify trends, opportunities, and operational risks.
  • Create automated scorecard generation and target-setting processes.
  • Develop predictive performance indicators to proactively identify areas requiring intervention.
  • Leverage AI to generate actionable insights, coaching recommendations, and operational guidance.
  • Design frameworks that connect operational metrics, incentive programs, and financial outcomes.

Process Automation & Efficiency

  • Evaluate and redesign complex business processes to eliminate manual activities.
  • Deploy AI agents, workflow automation, and self-service analytics solutions.
  • Reduce cycle times for forecasting, budgeting, reporting, and business reviews.
  • Standardize tools, methodologies, and operating procedures.
  • Establish measurable efficiency targets and track realized value.

Advanced Analytics & Modeling

  • Develop predictive, prescriptive, and scenario-based models to support strategic decisions.
  • Create simulations and sensitivity analyses to evaluate business opportunities and risks.
  • Translate complex analytics into executive-ready recommendations.

Strategic Leadership

  • Partner with Finance, Operations, Technology, and Executive Leadership to identify high-value AI opportunities.
  • Collaborating with business leaders to discern data requirements and crafting technical specifications for analytics
  • Evaluating data relevance, sourcing alternatives, and ensuring robust analytics for stakeholder inquiries
  • Employing self-service tools to analyze complex datasets, extracting actionable business insights
  • Querying diverse big data platforms, including Teradata, SQL Server, Hadoop, and AWS, for comprehensive analysis
  • Merging datasets from varied sources to support thorough business analysis
  • Conducting exploratory data analysis, hypothesis testing, and pinpointing key business drivers
  • Developing predictive models for sales, demand, and other vital business metrics
  • Assessing campaign outcomes, measuring effectiveness, and pinpointing enhancement opportunities
  • Ensuring compliance with data governance policies and standards across analytics practices
  • Consistent exercise of independent judgment and discretion in matters of significance.
  • Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
  • Other duties and responsibilities as assigned.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.

Skills

Actionable Insights, Analytics, Business Operations, Data Forecasting

Compensation

This job can be performed in Colorado, Illinois, and Minnesota with a Pay Range of $66,115.55 - $109,090.66Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's DegreeWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

2-5 YearsComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.