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Weekend Data Analyst Jobs in Trumbull, CT (NOW HIRING)

Point72 is a leading global alternative investment firm, and they are seeking a Business Intelligence Analyst to design, build, and deploy intelligent workflows that transform multimodal data into ...

The Business Intelligence Analyst will design, build, and deploy intelligent workflows that transform multimodal data into actionable insights while collaborating with stakeholders to enhance ...

Master's degree in data science, decision science, I/O psychology, or a related quantitative field. * 3+ years of experience in a data analyst, business analyst, or technical product role.

Master's degree in data science, decision science, I/O psychology, or a related quantitative field. * 3+ years of experience in a data analyst, business analyst, or technical product role.

Responsibilities * conduct engineering analysis and research designs and methods of data center ... weekends, and holidays, within a 24/7/365 operational environment #J-18808-Ljbffr

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Weekend Data Analyst information

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$33.4K

$81.1K

$133.4K

How much do weekend data analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for weekend data analyst in Trumbull, CT is $81,085.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $95,200.00 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 are the most commonly searched types of Data Analyst jobs in Trumbull, CT?

The most popular types of Data Analyst jobs in Trumbull, CT are:

What are popular job titles related to Weekend Data Analyst jobs in Trumbull, CT?

For Weekend Data Analyst jobs in Trumbull, CT, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst jobs in Trumbull, CT look for?

The top searched job categories for Weekend Data Analyst jobs in Trumbull, CT are:

What cities near Trumbull, CT are hiring for Weekend Data Analyst jobs?

Cities near Trumbull, CT with the most Weekend Data Analyst job openings:

Global Master Data Coordinator

UBE Corporation America Inc.

Naugatuck, CT • On-site

Full-time

Posted 29 days ago


Job description

Description

Department: Information Technology

Hiring Manager:  IT Director

FLSA Status:  Exempt

Working Status:  Full-Time


JOB SUMMARY

We are seeking a hands-on highly skilled and experienced Global Master Data Coordinator to support and coordinate global master data operations, governance, analytics, and process execution across business functions during the SAP S/4HANA implementation and ongoing operations. This role is responsible for helping maintain the integrity, accuracy, and consistency of master data, including material/product, customer, supplier, finance, and bill of materials (BOM) data across North America while collaborating with global teams to promote standardized processes. The position works closely with cross-functional stakeholders to support digital transformation initiatives, data quality, and reporting needs by applying knowledge of SAP, CRM, and master data management practices, along with strong organizational, communication, and collaboration skills.

Requirements

Data Leadership & Governance

  • Coordinate the implementation of master data standards, governance processes, policies, and procedures to support organizational objectives.
  • Partner with business process owners, regional teams, and IT to help maintain consistent master data quality and support aligned processes across U.S. and APAC regions.
  • Organize and facilitate cross-regional master data meetings and working groups, track action items, assist with resolving data issues, and support alignment with business priorities.
  • Establish and monitor key performance indicators (KPIs) to track master data quality, compliance, and governance effectiveness.
  • Monitor and report on key performance indicators (KPIs) related to master data quality, compliance, and governance, identifying trends and escalating issues as needed.

Implementation & Transformation

  • Coordinate master data activities for SAP S/4HANA, CRM, and related system implementations, supporting data modeling, cleansing, enrichment, migration, validation, and go-live readiness.
  • Collaborate with SAP functional and technical teams, system integrators, and data stewards to ensure seamless data flows and integrity during design, testing, and deployment phases.
  • Support the migration of master data from legacy systems to SAP S/4HANA by assisting with data mapping, validation, and cutover activities.
  • Participate in SAP testing cycles, including User Acceptance Testing (UAT) and integration testing, by validating master data, identifying data quality issues, documenting defects, and supporting process improvements.

Process & Data Quality Management

  • Support the development and maintenance of master data processes, including data creation, change management, hierarchy management, governance checkpoints, and data retirement procedures.
  • Coordinate the use of master data tools, workflows, and automation solutions (e.g., SAP MDG, SAP Data Intelligence, or equivalent) to promote data quality and streamline business processes.
  • Collaborate with analytics and business intelligence teams to support accurate master data for operational reporting, dashboards, and analytical initiatives.
  • Assist with continuous improvement efforts by identifying process enhancements, monitoring data quality trends, and supporting initiatives to improve efficiency and reduce processing times.

Stakeholder Management & Communication

  • Collaborate with project stakeholders and business leaders to provide updates on master data activities, identify risks, and support project objectives.
  • Work with regional and functional teams to gather business requirements, document data standards, and assist in implementing scalable master data solutions.
  • Develop and deliver training materials, process documentation, and user support resources to promote consistent adoption of master data practices across project teams.

KEY SKILLS & COMPETENCIES:

Technical Skills

  • Strong functional knowledge of SAP master data domains including Material / Product/ Customer/ Supplier/ Finance, as well as SAP S/4HANA and MDG capabilities.
  • Experience with data migration tools, data integration, and transformation frameworks (e.g., SAP BODS, LTMC, Signavio, SAP Information Steward).
  • Proficiency in data quality, data modeling, and data lifecycle management best practices.
  • Analytical mindset with demonstrated experience working with data analytics, reporting, and predictive modeling capabilities.

Leadership & Interpersonal Skills

  • Exceptional communication skills with ability to engage both technical and non-technical stakeholders.
  • Strong organizational skills with meticulous attention to detail and ability to manage multiple priorities in a fast-paced global environment.
  • Proven leadership, team building, and collaborative skills across regions and functions.
  • Change-oriented mindset with ability to influence without authority and drive adoption of best practices.

BASIC QUALIFICATIONS:

  • Bachelor's degree in Information Technology, Data Science, Business, Engineering, or related field
  • Minimum 3 years of experience in master data management roles with SAP S/4HANA implementations.
  • Demonstrated success in master data coordination, SAP MDG and SAP ERP environments, preferably within manufacturing or supply chain contexts.

PREFERRED QUALIFICATIONS:

  • Master's Degree Bachelor's degree in Information Technology, Data Science, Business, Engineering, or related field
  • Certification in SAP MDG, SAP S/4HANA, PMP, or associated master data/data governance credentials.
  • Experience with chemical or manufacturing processes and understanding of industry-specific compliance and data requirements.
  • Prior experience managing remote and multi-cultural teams.

Equal Opportunity Employer Statement: UBE is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, or status as a qualified individual with a disability.