1

Analytics Manager Jobs in Maine (NOW HIRING)

Manager Advanced Analytics

Scarborough, ME · On-site

$108.88 - $187.80/hr

... analysis. Work closely with supply chain engineers and product managers to evolve descriptive insights into predictive and prescriptive supply chain products. Our flexible/hybrid work schedule ...

New

next page

Showing results 1-20

Analytics Manager information

See Maine salary details

$62.4K

$121.3K

$173.3K

How much do analytics manager jobs pay per year?

As of Aug 8, 2026, the average yearly pay for analytics manager in Maine is $121,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,800.00 and $144,300.00 per year, depending on experience, location, and employer.

What is an analytics manager?

An analytics manager translates raw data into insights that a business can use. Usually leading a team of analysts, your job duties include developing data analysis strategies, tracking and reporting on performance, implementing tools and solutions, and overseeing all analytics operations. You must stay up-to-date on current industry trends. Strong communication and analytical skills are required. Other qualifications include a bachelor’s degree in statistics, data management, or information technology and proven career experience in market research, statistical modelings, or project management.

Is data analytics a high paying job?

Data analytics roles, including Analytics Managers, tend to offer high salaries compared to many other positions, especially with experience and advanced skills in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but generally, analytics managers earn above average salaries in the job market.

What is the difference between Analytics Manager vs Data Analyst?

AspectAnalytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related fields; often certifications in analytics toolsBachelor's degree in Statistics, Mathematics, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data cleaning, analysis, and reporting; works under supervision
Employer & Industry UsageUsed in corporate, finance, marketing, and tech sectors for strategic decision-makingCommon in research, finance, healthcare, and marketing for data insights

While both roles involve working with data, the Analytics Manager oversees teams and strategic projects, whereas Data Analysts focus on data collection, analysis, and reporting. The Analytics Manager typically has more leadership responsibilities and a broader scope.

How does an analytics manager typically collaborate with cross-functional teams to drive business insights?

Analytics Managers frequently work alongside teams such as marketing, product development, finance, and operations to translate data into actionable business strategies. They facilitate meetings to understand stakeholder goals, guide data collection efforts, and present findings in a way that's accessible to non-technical audiences. This cross-functional collaboration ensures that insights are aligned with business objectives and that projects are implemented effectively. Strong communication and project management skills are essential for success in this collaborative environment.

What are the key skills and qualifications needed to thrive as an analytics manager, and why are they important?

To thrive as an Analytics Manager, you need strong analytical skills, data interpretation expertise, leadership experience, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with analytics platforms (such as Tableau, Power BI), programming languages (like SQL, Python, or R), and data management systems is essential, along with relevant certifications such as Google Analytics or Certified Analytics Professional (CAP). Excellent communication, problem-solving, and stakeholder management skills help you translate complex data insights into actionable business strategies. These competencies ensure data-driven decision-making, effective team leadership, and impactful business outcomes.

How much do analytics managers make in the US?

Analytics managers in the US typically earn a median salary of around $100,000 to $130,000 per year, depending on experience, industry, and location. Senior roles or those with specialized skills in data tools and leadership may earn higher compensation, often exceeding $150,000 annually.
What are the most commonly searched types of Analytics jobs in Maine? The most popular types of Analytics jobs in Maine are:
What are popular job titles related to Analytics Manager jobs in Maine? For Analytics Manager jobs in Maine, the most frequently searched job titles are:
What cities in Maine are hiring for Analytics Manager jobs? Cities in Maine with the most Analytics Manager job openings:
Infographic showing various Analytics Manager job openings in Maine as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,341 per year, or $58.3 per hour.

Manager Advanced Analytics

Loyalty360

Scarborough, ME • On-site

$108.88 - $187.80/hr

Other

Posted 3 days ago

New


Job description

Category/Area of Expertise: Procurement & Logistics

Job Requisition: 532599

Address: USA-ME-Scarborough-145 Pleasant Hill Rd

Store Code: Services (5120698)

ADUSA Procurement is a partner company to Ahold Delhaize USA, providing supply chain services that support the delivery of products from a supplier to the warehouse. ADUSA Procurement is part of the Ahold Delhaize USA family of brands, which also includes five leading omnichannel grocery brands - Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop.

Primary Purpose

Responsible for utilizing advanced statistical tools and leading‑edge technology for working with large datasets related to supply chain of Ahold Delhaize brands, facilities, and assets. Develop predictive models and algorithms for the creation of new insights which lead to scalable and efficient supply chain operations. Lead discovery and analyses of large amounts of business data, defining new metrics and business cases, designing simulations and experiments, and creating models and financial evaluations. Apply advanced analytics to measure the effectiveness of operational changes. The successful candidate will have a strong quantitative background and can thrive in an environment that leverages statistics, machine learning, operations research, econometrics, and business analysis. Work closely with supply chain engineers and product managers to evolve descriptive insights into predictive and prescriptive supply chain products.

Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA & Scarborough, ME.

Applicants must be currently authorized to work in the United States on a full‑time basis.

Duties and Responsibilities
  • Develop statistical models to predict supply chain operational needs and automate decision making processes
  • Use advanced analytics to highlight operational trends and external variables that impact supply chain performance to offer proactive recommendations in support of operational goals
  • Collaborate with IT to structure supply chain data in a way that will make it accessible for creating a 360 view of our supply chain. This will include working with IT to identify and leverage new technology to access data in such a way to facilitate analysis and insight development. This will require expertise in advanced statistical technologies necessary for synthesizing data into actionable business opportunities
  • Work closely with product managers and supply chain engineers to sustainably scale and deploy supply chain products such as control tower, vendor profitability models, and out of stock detection among others.
  • Serve as the expert on advanced analytics tools and technologies
  • Design tests for quantifying supply chain pilot results using A/B testing and statistical methods
  • Collaborate with and mentor Supply Chain Data Science COOPs by providing project oversight, guidance, and mentorship
  • Train other user groups and analysts to utilize best‑in‑class tools and models
Qualifications
  • 7+ years of applicable experience with emphasis on supply chain analytics, agile software development, optimization or predictive modelling
  • 5+ advanced statistical analysis with emphasis on machine learning
  • Extensive hands‑on experience using statistical programming software and languages such as SAS, SQL, R, Scala and Python
  • Extensive hands‑on experience with predictive modelling, clustering, and optimization
  • Significant experience in algorithm developments, focus on supply chain related topics preferred
  • Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks
  • Demonstrated skills in selecting the right Architecture given a data analysis problem.
  • Simulation development experience, focus on supply chain areas
  • Front end software development skills a plus
  • Bachelor's Degree in engineering, computer science, mathematics, supply chain management or related fields required
  • Master's Degree or PhD is Industrial Engineering, Operations Research, Computer Science, Data Science or related fields preferred
Preferred Qualifications
  • Strategic thinking to provide optimal solutions to complex supply chain problems
  • Proven analytical proficiency and ability to leverage data to positively impact the business and solve complex business problems
  • Agile development
  • Innovative problem‑solver with ability to triangulate answers by adopting different problem‑solving approaches. Demonstrated success executing complex strategic projects
  • Flexibility to adapt to rapidly evolving priorities and needs, while maintaining commitment to excellence
  • Strong and collaborative team contributor
  • Superior organizational and analytical skills with hypothesis‑driven problem solving and turning data into actionable insights
  • Ability to define organizational needs in data science and proactively develop the internal capabilities needed to succeed
  • Ability to develop a structured approach to complex questions and quickly form a hypothesis against which to run test analyses.
  • Ability to challenge conventional thinking to deliver innovative recommendations
  • Ability to lead multiple projects and tasks simultaneously
  • Ability to influence without authority

ME/NC/PA/SC Salary Range: $108,880 - $163,320

IL/MA/MD/NY Salary Range: $125,200 - $187,800

Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.

#J-18808-Ljbffr