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Weekend Data Analyst Jobs in Maine (NOW HIRING)

Data Analyst

Augusta, ME · On-site

$62K/yr

The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs ...

Data Analyst

Augusta, ME · Hybrid

$62K/yr

The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs ...

Master Data Analyst Location: : Scarborough, Maine Duration: 12 Months - 100% Onsite role. Skills Looking For: * Data Management experience; SAP experience * Creating new parts in SAP (Part number ...

Business Analyst - ETL Job Type: Full Time Experience Needed: 7+ years Contract: Long Term - with ... Develop complex ETL processes and streaming data solutions for multiple source systems * Develop ...

Business Analyst

Portland, ME · On-site

$85K - $100K/yr

Analyze current-state processes, workflows, and data structures; develop future-state designs that improve efficiency, clarity, and standardization. * Support software selection efforts including RFP ...

Analyze current-state processes, workflows, and data structures; develop future-state designs that improve efficiency, clarity, and standardization. * Support software selection efforts including RFP ...

Analyze current-state processes, workflows, and data structures; develop future-state designs that improve efficiency, clarity, and standardization. * Support software selection efforts including RFP ...

Analyze current-state processes, workflows, and data structures; develop future-state designs that improve efficiency, clarity, and standardization. * Support software selection efforts including RFP ...

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Weekend Data Analyst information

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.

What are Weekend Data Analysts?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

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 are the most commonly searched types of Data Analyst jobs in Maine? The most popular types of Data Analyst jobs in Maine are:
What are popular job titles related to Weekend Data Analyst jobs in Maine? For Weekend Data Analyst jobs in Maine, the most frequently searched job titles are:
What cities in Maine are hiring for Weekend Data Analyst jobs? Cities in Maine with the most Weekend Data Analyst job openings:
Data Analyst

$62K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Job description

Job Type
Full-time
Description
Primary Purpose: The Data Analyst role is responsible for data management and analysis for MaineHousing and its programs. The position will collect, analyze, and present data relevant to understanding housing needs, conditions, and trends in Maine, as well as the impact of MaineHousing programs. This position is responsible for internal and external requests for data, dashboard development and maintenance, compiling housing statistics, and assisting with program software adoption, program evaluation, and other research activities.
Core Functions:
Data Stewardship.
o Promote interdepartmental data literacy and appreciation by providing expertise and leadership to the Data Stewardship Team.
o Develop and improve systems for the collection and maintenance of data from all MaineHousing programs and activities.
o Support the development and ongoing improvement of comprehensive data governance procedures to support the quality, integrity, and security of all MaineHousing data.
o Develop and maintain a database of publicly available data (e.g. HUD, Census, Maine Revenue Service) and subscription data (e.g. MLS and Claritas data) to support MaineHousing's strategic interests.
o Facilitate interdepartmental integration of data, where possible.
Data Analysis
o Assist in the design and creation of new data methods and tools to track and assess affordable housing needs by region and target population.
o Provide basic technical assistance and analytical expertise to departments for data analysis, program monitoring, and performance measurement.
o Support department directors' efforts to identify cost effective and reliable methods for measuring client satisfaction, needs, and trends for their programs and products.
o Develop a working knowledge of programs and priorities to proactively develop, maintain, and interpret data that will advance MaineHousing's strategic interests.
o Flag significant changes in indicators and indices and assist in investigating the cause of such anomalous variation.
Data Coordination and Communication
o Work with department directors and the director's team to create at-a-glance views of key performance indicators relevant to individual programs or agency objectives.
o Manage regular updates to all data dashboards, indices, and maps.
o Develop and maintain process guides for collecting, updating, managing, and using data for all of PnR's ongoing internal and external uses.
o Respond to requests for programmatic and other housing data from state agencies, researchers, municipalities, and the public; provide context and interpretation, as appropriate.
o Collect and curate data needed for grant applications and MaineHousing reports.
o Support departmental process improvement initiatives with data expertise and insights.
o Work with the PnR Coordinator to analyze survey data collected in support of department and agency initiatives.
Other duties as assigned
Requirements
Education and Experience: Education, experience, and training, in any combination, relating to data science, statistics, economics, or a related field.
Skills and Knowledge:
Required
• Information gathering and analytical problem solving.
• Ability to organize and interpret complex data from multiple sources.
• Ability to present data using online tools such as Tableau and mapping applications.
• Strong PC skills using various software (spreadsheet, word processing, database).
• Ability to manage a fast-paced environment with shifting priorities across a range of work products with limited supervision.
• Organizational skills and ability to prioritize and manage multiple and varied tasks.
• Demonstrated skills in self-direction, attention to detail, and troubleshooting.
• Ability to establish and maintain good working relationships with internal and external business partners.
Preferred
• Demonstrated programming ability in SQL, R, or similar packages.
• Experience with GIS software (ArcGIS or similar).
Working Conditions: Fast paced environment with multiple priorities, interruptions & deadlines. A hybrid schedule may be considered, if appropriate, after 6 months employment.
Reports To: Director of Planning & Research Supervises: No one
The starting annual salary for this position is $62,932, plus a comprehensive benefits package, including, but not limited to, health, dental and vision, retirement options with employer match, life insurance, short and long-term disability, employee assistance, generous earned time and all major federal holidays. Employment is eligible for the Public Service Loan Forgiveness Program.
**Position will remain open until a suitable candidate is found**
Salary Description
62,932 per year