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Weekend Data Analyst Jobs in Summit, NJ (NOW HIRING)

Building proactive analysis through data mining to identify trends and opportunities for product optimization. * Finding areas of opportunity to drive revenue in a digital advertising campaign.

Data Analyst

New York, NY · On-site

$80K - $90K/yr

The Data Analyst contributes to this mission through database creation, management, analysis, reporting, and collaboration with a diverse array of programs and central departments. The Data Analyst ...

Data Analyst Location: Newark NJ Duration: 1 year Provide analytical and functional support in the area of work integration, business plan development, budgets, and the balanced scorecard process.

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting ...

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

Data Analyst

New York, NY · On-site +1

$97K/yr

Our Data Analysts work with diverse data - criminal justice data both raw and processed from across the country, reports and policy documents from government agencies, and much more - to develop our ...

Data Analyst

Manhattan, NY · On-site

$100K - $135K/yr

As a Data Analyst for Laufer Group International, your work will directly influence how we optimize operations, improve performance, and scale smarter through data. In this role, you will partner ...

As a Data Analyst, you will collect, process, and perform statistical analyses on large datasets to help organizations make informed business decisions. You will be responsible for transforming data ...

Data Analyst

Jersey City, NJ · On-site

$85K - $110K/yr

AvePoint is seeking a highly analytical Data Analyst to support and scale our global partner business. In this role, you will analyze data across our partner ecosystem-including sales performance ...

WebMD/MD Alert is currently seeking a Client Data Analyst responsible for understanding data process flow and reporting requirements. This role will vet requirements; identify data handoffs ...

... analysis, profiling, and mapping of VSAM files into relational/dimensional SQL tables. - Lead and support data conversion and validation as part of an enterprise-wide legacy system replacement ...

The Data Analyst will work directly with Dr. Horwitz, the Director of the Division of Healthcare Delivery Science and the Center for Healthcare Innovations and Delivery Science, as well as the Rapid ...

Data Analyst

New York, NY · On-site

$135K - $180K/yr

You will perform critical analysis and implement data driven solutions that enable our engineering, product and leadership teams to deliver transformative software to the healthcare providers. What ...

Data Analyst

Woodbridge, NJ · On-site

$27.50 - $31.25/hr

Analyze large sets of operational and business data using Excel and other reporting tools to identify trends, exceptions, and opportunities. * Gather information from multiple sources, organize ...

Data Analyst

Manhattan, NY · On-site

$80K - $90K/yr

The Data Analyst contributes to this mission through database creation, management, analysis, reporting, and collaboration with a diverse array of programs and central departments. The Data Analyst ...

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical support by preparing data, delivering insights, and creating dashboards that inform strategic reporting ...

Data Analyst

New York, NY · On-site

$118K/yr

About the Role Capgemini is seeking an experienced Data Analyst to support a strategic Financial Services engagement. This role will be responsible for supporting enterprise data solutions ...

Serve as a data analyst to the Center of Surgical and Transplant Applied Research (CSTAR), using a range of data sources including: Electronic health records (NYU Epic); Community-basedhealth and ...

Showing results 21-40

Weekend Data Analyst information

See Summit, NJ salary details

$36.1K

$87.8K

$144.5K

How much do weekend data analyst jobs pay per year?

As of Aug 18, 2026, the average yearly pay for weekend data analyst in Summit, NJ is $87,813.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,400.00 and $103,100.00 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 Summit, NJ?

The most popular types of Data Analyst jobs in Summit, NJ are:

What job categories do people searching Weekend Data Analyst jobs in Summit, NJ look for?

The top searched job categories for Weekend Data Analyst jobs in Summit, NJ are:

What cities near Summit, NJ are hiring for Weekend Data Analyst jobs?

Cities near Summit, NJ with the most Weekend Data Analyst job openings:

Infographic showing various Weekend Data Analyst job openings in Summit, NJ as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $87,813 per year, or $42.2 per hour.

Data Analyst

Sundaysky

New York, NY • On-site

Full-time

Re-posted 19 days ago


Job description

SundaySky has a unique and exciting opportunity to join an analytics group for a rapidly growing startup. Our product combines digital technology, advertising, consumer relationship management, and big data for the most recognizable brand names across multiple industries. We are seeking an energetic, self-starter that combines an analytical mind with creative problem-solving skills to use data to drive success. The ideal candidate approaches analysis as a path to strategic thinking that culminates in actionable insights. If you're the kind of person who obsesses over details, thrives in a dynamic, fast-paced collaborative startup environment, wants an opportunity to make a significant impact and jumps at the opportunity to take on new challenges, SundaySky is the place for you.
In a fast paced, ever-changing environment, you will be involved in the following -
  • Building proactive analysis through data mining to identify trends and opportunities for product optimization.
  • Finding areas of opportunity to drive revenue in a digital advertising campaign.
  • Proving value to strategic clients by developing data-driven stories in dynamic presentations.
  • Discovering best practices to reduce subjectivity, display industry leadership, and further develop our product.
  • Developing a reporting platform to provide a unified view of results through dashboards and reports that will be accessed by all levels within SundaySky.
  • Maintaining data integrity working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify both data and operational issues.
  • Packaging and presenting analytical findings and clearly communicating (both written and verbal) program results and complex concepts to success managers, marketing, sales team, and the end client in both statistical and non-statistical terms.
  • Supporting sales and success management teams by providing data-driven industry overviews, information on research products, assisting with trouble-shooting issues, and answering questions that may arise from data issues and reports.
  • Become an expert in industry, customer and SundaySky measurement methodologies.

Requirements:
The ideal candidate will have the following experience and skillset:
  • Minimum 3 years of experience in business analytics or digital advertising environment
  • Competency in statistical analytic techniques such as: time series data analysis, forecasting segmentation, univariate & multivariate statistical analysis, various metrics and key performance indicators, research & test design, significance testing, hypothesis testing, variance and growth calculations, return on investment
  • Project management skills, including the abilities to handle multiple projects in a fast-paced environment and work effectively with colleagues and clients in diverse departments, geographic locations, and time zones. Balances desire for quantitative rigor with realities of inconsistent business data
  • Critical thinking: capable of generating consistently accurate, useful reports as well as enthusiasm for translating data into actionable insight relevant to marketing program objectives
  • Experience with the following tools:
  • MS Office: Advanced Excel (Pivot tables, advanced macros, etc.) and PowerPoint
  • BI & Analytics Tools (Tableau, MicroStrategy, SAS)
  • Web analytics tools: Google Analytics, Omniture, DART, Coremetrics, etc.
  • Open source statistical software: R or Python (similar to SAS, SPSS, etc.)
  • Database (SQL, MySQL, NoSQL, Splunk, etc.)
  • Experience with data visualization and/or an eye for design
  • Proactive, independent thinker with high energy and positive attitude
  • Bachelor's degree (B.A. or B.Sc.) or equivalent.
  • Experience with ecommerce / digital advertising best practices
  • Willingness to take coaching for continuous personal development
  • Experience working with a distributed team of Sales managers, project managers and technical support.
  • Must be authorized to work in the US