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Data Analytics Jobs in Waterville, ME (NOW HIRING)

Power BI Intern

Augusta, ME · On-site

$15/hr

This is an excellent opportunity for someone looking to gain hands-on experience in data visualization, business analysis, and real-world data problem solving. Responsibilities * Assist in designing ...

This role combines spatial data analysis, drone mapping, CAD support, and GPS surveying to produce accurate geospatial data and mapping products that support operational and project needs. The GIS ...

This role combines spatial data analysis, drone mapping, CAD support, and GPS surveying to produce accurate geospatial data and mapping products that support operational and project needs. The GIS ...

Data Engineer

Augusta, ME · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Solutions Engineer, Remote

Augusta, ME · On-site

$120K - $140K/yr

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and ...

Technical Product Manager

Augusta, ME · Hybrid

$165K - $191K/yr

Reporting to the Senior Director of Software Engineering and Data Analytics, the Technical Product Manager is responsible for guiding the strategy, planning, prioritization, and evolution of Augusta ...

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Showing results 21-40

Data Analytics information

See Waterville, ME salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data analytics in Waterville, ME is $54.64, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $61.92 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 are the most commonly searched types of Data Analytics jobs in Waterville, ME?

The most popular types of Data Analytics jobs in Waterville, ME are:

What job categories do people searching Data Analytics jobs in Waterville, ME look for?

The top searched job categories for Data Analytics jobs in Waterville, ME are:

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

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

Infographic showing various Data Analytics job openings in Waterville, ME as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,661 per year, or $54.6 per hour.

Digital Marketing Specialist-Analytics

Finance Authority of Maine

Augusta, ME

$58K - $65K/yr

Full-time

Posted 5 days ago


Job description

Description

The Finance Authority of Maine (FAME) seeks a data-driven Digital Marketing Specialist-Analytics to support digital advertising, marketing analytics, website performance, and campaign optimization.


Key Responsibilities

  • Plan, monitor, and optimize digital advertising campaigns across search, display, video, social media, and related channels.
  • Analyze campaign, website, email, CRM, and social media performance data to identify trends and recommend improvements.
  • Develop dashboards, reports, and performance tracking tools for leadership and stakeholders.
  • Support website performance, SEO, accessibility, customer experience, and conversion optimization.
  • Coordinate digital marketing projects, vendor support, platform updates, and marketing technology initiatives.

Requirements

  • Bachelor's degree in communications, marketing, business, or related field, or an equivalent combination of education and experience.
  • Three to five years of experience in digital marketing, paid media, performance marketing, or related work.
  • Experience with tools such as Google Ads, Meta, Google Analytics, CRM systems, Salesforce Marketing Cloud, WordPress, and related platforms.
  • Strong analytical, organizational, communication, and project management skills.
  • Experience with SEO, A/B testing, conversion optimization, data visualization, and digital campaign reporting preferred.