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Data Analytics Jobs in Farmington, ME (NOW HIRING)

TSMG

Data collector / Driver

Waterville, ME

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Data collector / Driver

Waterville, ME · Remote

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

LaBella Associates

Analytics and Reporting

Augusta, ME · On-site

$70K - $100K/yr

We are currently hiring a Cyber Security Operations Analyst in our Program Management Services ... Define and compile data and metrics to provide reportable information to communicate the status of ...

LaBella Associates

Analytics and Reporting

Augusta, ME · Hybrid

$70K - $100K/yr

We are currently hiring a Cyber Security Operations Analyst in our Program Management Services ... Define and compile data and metrics to provide reportable information to communicate the status of ...

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All JobsData Analytics JobsData Analytics Jobs in Farmington, ME

Data Analytics information

See Farmington, ME salary details

$25

$56

$97

How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in Farmington, ME is $56.59, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $64.09 per hour, depending on experience, location, and employer.

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.

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 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 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.

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.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

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, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Farmington, ME are hiring for Data Analytics jobs?

Cities near Farmington, ME with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Farmington, ME as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $117,705 per year, or $56.6 per hour.

Google Data Analytics Expert : REMOTE POSITION.

Augusta, ME • Remote

Software People, Inc.
IT Services • 1 - 10 employees
Learn more about Software People, Inc.external

Contractor

Re-posted 10 days ago

Job description

Please Let me know your Interest and Rate for this position.

Phone/Skype Hire. Remote

Location: REMOTE

Duration: 12+ months

This position is part of the Enterprise Data Services group and will work with the Digital Services program within the Office of Information Technology. The Digital Services program is essential for designing and overseeing the implementation of a customer-centric online application to simplify State government and digital services. While working alongside vendor contractors and the Digital Service program team, you will be relied upon for all aspects of data analysis and exploration while providing valuable analytical insights to support department initiatives and assist in making data-driven program decisions. This position will able be responsible for incorporating a repository of data from the online application into an existing warehouse and presenting data in PowerBI dashboards and reports.

Responsibilities  

  • Analyze and understand State requirements.
  • Participate as subject matter expert of source data, develop data catalogue, and perform user acceptance testing for Digital Services program.
  • Provide expertise for data sharing, data visualization, and understand, configure, and enforce access rules.
  • Understand KPIs and present related data in a meaningful way.
  • Help establish frequency and schedule of data extraction, review data quality, and adhere to transformation rules.
  • Develop reports, dashboards, and visualize data in a meaningful way based on given requirements.
  • Participate in project briefing and brainstorming.
  • Using detailed and general knowledge of the end-to-end workings of how systems work, assist in any testing, trouble-shooting, and help implement fixes to resolve poorly functioning processes.
  • Assist in solution documentation, diagrams, and technical specifications.

Skills Needed

  • Google Analytics experience.
  • Experience extracting data from source system to target data warehouse.
  • Expert knowledge of Power BI data visualization and analysis tools.
  • Five+ years of relevant experience in the following:

o             Extracting data from source system to target data warehouse.

o             Data analysis, quality, and reporting.

•             Expert knowledge of Power BI data visualization and analysis tools.

•             Ability to read and follow regulatory requirements on State and Federal levels.

•             Strong information architecture and integration strategy skills.

•             Excellent communication and interpersonal skills.

•             Ability to work independently and as part of a team.