1

Weekend Data Analyst Jobs in Calais, ME (NOW HIRING)

Weekend Data Analyst information

See Calais, ME salary details

$33.5K

$81.4K

$134K

How much do weekend data analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for weekend data analyst in Calais, ME is $81,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

What is a weekend data analyst?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What does a weekend data analyst do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

What does a typical weekend shift look like for a weekend data analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.

What cities near Calais, ME are hiring for Weekend Data Analyst jobs?

Cities near Calais, ME with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Calais, ME as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,433 per year, or $39.2 per hour.

Commercial Business Systems Analyst

Church & Dwight Co., Inc.

Princeton, ME • On-site

$94 - $132/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Church & Dwight rating

8.2

Company rating: 8.2 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

86th of 545 rated manufacturers


Job description

A collective energy and ambition. A place where you can make a real difference. We’re a company that genuinely cares about our people, our products, our consumers and the environment. Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries. United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because: Together We Have the Power to Win.

Job Summary

Church & Dwight is seeking a Commercial Business Systems Analyst to join our team. This role is responsible for working with cross-functional teams to advance the company’s capabilities by translating business needs into IT-based solution requirements and ensuring delivered solutions meet those needs. This individual will lead analysis efforts on complex, high-impact initiatives across Marketing, Sales, and the Specialty Products Division (SPD), while contributing deep expertise across business processes, technology, data, artificial intelligence, and organizational design.

About the Role

The Commercial Business Systems Analyst will partner closely with IT, business stakeholders, Product Owners, Product Managers, and third-party implementation partners to design, develop, and deploy marketing, sales, and SPD technology applications. This role is responsible for gathering and translating business requirements into scalable technical solutions while ensuring systems are optimized for performance, usability, and long-term sustainability. The analyst will play a key role in shaping and supporting the organization’s MarTech ecosystem, ensuring strong data flow integration and enabling business partners to effectively leverage technology to meet commercial objectives. This individual will also identify opportunities to implement AI-enabled capabilities, intelligent automation, and decision-support tools across commercial business processes. The analyst will support business architecture and process-excellence initiatives by connecting business capabilities, end-to-end processes, data flows, and technology solutions to measurable business outcomes.

Work Environment

Hybrid: The role will be based in Ewing, NJ and requires in-person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays.

Role Accountabilities and Responsibilities
  • Create high-quality technical and architectural designs that align with business needs and promote scalable development
  • Analyze, model, and evaluate current processes, workflows, user flows, and data to recommend improved business solutions
  • Drive simplification, code reuse, and leverage existing system capabilities while maintaining optimal performance and service levels
  • Develop system test scripts to ensure integrated systems are robust, compliant, and meet business requirements
  • Evaluate new tools and third-party applications, providing recommendations on their effectiveness and alignment with business needs
  • Translate functional requirements into technical designs, implement solutions, and perform unit testing
  • Serve as the primary technical lead for systems, platforms, and integration capabilities
  • Leverage strong data analysis skills to support marketing initiatives and improve data flow across the MarTech ecosystem
  • Identify, design, and deploy AI-enabled use cases, including copilots, intelligent automation, and decision-support tools, to improve business productivity, insight generation, and user experience
  • Partner with business and IT teams to design, configure, and integrate AI agents into core workflows, including marketing campaign execution, revenue management, and customer engagement, to streamline processes and reduce manual effort
  • Define requirements and governance standards for agentic systems, ensuring responsible AI usage, data quality, traceability, and seamless integration across enterprise platforms
  • Develop and maintain business capability maps, process taxonomies, and system landscape views to provide transparency into how technology enables business outcomes
  • Model and document end-to-end business processes and value streams, ensuring alignment between business objectives, data flows, and supporting applications
  • Identify opportunities for process simplification, standardization, automation, and technology optimization
  • Partner closely with Product Owners and Product Managers to refine backlogs, define user stories, and establish clear acceptance criteria aligned with business-value outcomes
  • Act as a key contributor within a product-centric operating model, continuously improving solutions through iterative delivery, stakeholder feedback, and value measurement
  • Support product teams with prioritization decisions, release planning, dependency management, and value-realization tracking, ensuring alignment with strategic business goals
  • Lead and participate in code and design reviews
  • Support system integration testing (SIT), user acceptance testing (UAT), and provide post-production support
Education and Experience Required Qualifications
  • Bachelor’s degree required
  • Five or more years of development or business-systems experience with strong knowledge of Salesforce functionality and capabilities
  • Experience with Sales and Marketing technologies such as Salesforce, Revenue Growth Management, Product Information Management, Digital Asset Management, and web-development tools
  • Experience designing, documenting, developing, and testing high-performing applications using automated testing tools
  • Strong ability to develop clean, standards-based code using industry best practices
  • Experience with site, page, and content-management systems
  • Experience participating in business-system implementations
  • Strong SQL skills with the ability to query databases and generate reports
  • Experience gathering and translating complex business requirements into functional and technical solution requirements
  • Experience documenting business processes, workflows, user stories, acceptance criteria, and system requirements
  • Demonstrated ability to work effectively with cross-functional business teams, technical teams, Product Owners, Product Managers, and third-party implementation partners
Preferred Qualifications
  • Experience identifying, designing, or implementing AI-enabled solutions, intelligent automation, copilots, or decision-support tools
  • Familiarity with responsible AI principles, AI governance, data quality, traceability, and agentic-system design
  • Experience developing business capability maps, process taxonomies, value streams, or system landscape documentation
  • Experience working within an Agile, product-centric, or product-operating-model environment
  • Relevant business experience in areas such as Order to Cash (O2C), A2R, or Procure-to-Pay (P2P/F2S)
  • Experience in a consumer products industry environment
Compensation and Benefits

The US base salary range for this full-time position is $93,500–$131,700. This position is also eligible for a bonus. As a Church & Dwight US employee, you (and eligible dependents, as applicable) will have access to medical, dental, vision, basic life insurance, paid vacation and sick time, and Paid Parental Leave. U.S. employees are entitled to paid holidays, floating holidays, and vacation days starting in their first year of employment depending on hire date. You are also able to participate in our 401k retirement plan (with company match and profit-sharing) and Discounted Employee Stock Purchase Plan. The actual base pay offered to the successful candidate will be based on multiple factors, including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal pay parity. Compensation decisions are dependent upon the facts and circumstances of each position and candidate. #LI-Hybrid

Equal Opportunity Employer

Church & Dwight is proud to be an Equal Opportunity Employer/Veterans/Individuals with Disabilities.

Company Background

For more information on our company, our brands and our culture visit us at http://www.churchdwight.com/ Church & Dwight is a world-leader in household and personal care products. Our global brands include ARM & HAMMER®, Batiste, OxiClean, Trojan, XTRA, Nair, First Response, Spinbrush, Orajel, vitafusion, Li’l Critters, Water Pik and FLAWLESS®. Founded in 1846, we have operations globally and are listed in the S&P 500.

#J-18808-Ljbffr

What Church & Dwight employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom