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Junior Data Analyst Jobs in Rindge, NH (NOW HIRING)

Data Modeler

Merrimack, NH · Remote

$60 - $65/hr

... Data Analytics teams - Ability to write SQL to query data (ideally ANSI SQL) - General working ... junior data modelers Education: Bachelor's degree in Computer Science, Electrical/Electronic ...

Senior Mechanical Engineer

Bedford, NH

$103K - $136K/yr

Train and support junior engineers, facilitating their growth and development. Not a comprehensive ... Effective communication and teamwork skills, focusing on decision-making and data analysis.

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Junior Data Analyst information

See Rindge, NH salary details

$33.9K

$78K

$125.3K

How much do junior data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for junior data analyst in Rindge, NH is $77,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,000.00 and $80,100.00 per year, depending on experience, location, and employer.

What are Junior Data Analysts?

Junior Data Analysts are entry-level professionals who collect, process, and perform basic analysis on data to help organizations make informed decisions. They typically work under the supervision of senior analysts, assisting with data cleaning, creating reports, and visualizing findings. Their responsibilities often include using tools like Excel, SQL, and data visualization software to interpret data trends and support business objectives. This role is ideal for individuals looking to start a career in data analytics and usually requires strong analytical skills and attention to detail.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

What do junior data analysts do?

Junior data analysts collect, organize, and analyze data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and support senior analysts by preparing reports and identifying trends. This role typically requires strong analytical skills and attention to detail, with opportunities for skill development and learning on the job.

Is 40 too late for data science?

A Junior Data Analyst role typically requires foundational skills in data analysis, programming, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications and experience.

What are some common challenges faced by Junior Data Analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

Can I be a data analyst with no experience?

Junior data analyst roles often require some familiarity with data analysis tools like Excel, SQL, or Python, but many employers are open to candidates with little to no professional experience if they demonstrate strong analytical skills and a willingness to learn. Entry-level positions may also provide on-the-job training or require relevant coursework or certifications. Building a portfolio of projects or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

What are the key skills and qualifications needed to thrive as a Junior Data Analyst, and why are they important?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What Does a Junior Data Analyst Do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What is the salary for junior data analysts?

The salary for a junior data analyst typically ranges from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, and basic data visualization software.
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 Junior Data Analyst jobs? Cities near Rindge, NH with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Rindge, NH as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $77,987 per year, or $37.5 per hour.
Senior Data Enablement Engineer

Senior Data Enablement Engineer

Fidelity Investments

Merrimack, NH

$108K - $147K/yr

Full-time

Posted 16 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 270 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services


Job description

Job Description:

Note: Fidelity will not provide immigration sponsorship for this position.

The Role

The Workplace Investment (WI) Test Data Management CoE is looking for a Senior Data Enablement Engineer to lead the evolution of our internal tools and test data ecosystem. This role will focus on enabling QE teams to efficiently discover, understand and access data across non-prod environments. As a technical leader, you will provide mentorship to data engineers and partners with stakeholders to enhance the development and delivery of test data solutions. This position centers on data navigation, test data ecosystem, data discoverability, SQL-driven data scenarios, Python -driven analysis, and tech data support of QE teams.

The Expertise and Skills You Bring

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

  • 5 years of experience with data analysis, and test data ecosystems

  • Strong hands-on skills in SQL and Python

  • Knowledge of data modeling, data relations, data flows, data governance, and metadata management

  • Familiarity with GitHub, SQL Workbench, Visual Studio and working in Agile development teams

  • Ability to mentor and guide junior data engineers

  • Experience working with QE teams as a plus

  • Strong collaboration, problem-solving, and communication skills

The Value You Deliver

  • You lead test data communication between TDM team and QE teams

  • You ensure high data quality and consistency by maintaining and validating test data scenarios

  • You collaborate with partner's teams to understand complex data relations, data needs , increase data visibility, and provide test-ready data

  • You manage test data creation and modification using existing tools and scripts

  • You mentor junior data engineers and promote best practices in test data engineering

  • You partner with product owners and stakeholders to enhance the roadmap of test data tools and workflows

  • You proactively identify process gaps and lead initiatives to improve automation and efficiency across test data platforms, to ensure data and environment stability

The Team

The WI QE Center of Excellence (CoE) drives engineering excellence and platform stability across WI squads. As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in delivering clean, scalable, and reliable test data across BU. You'll work closely with engineering leads, QE teams, and TDS contributors to enable faster, safer, and smarter testing through data.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.


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