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Weekend Data Analyst information
See Freeport, NY salary details
$34.7K - $44.2K
4% of jobs
$44.2K - $53.6K
7% of jobs
$53.6K - $63.1K
13% of jobs
$63.7K is the 25th percentile. Wages below this are outliers.
$63.1K - $72.6K
18% of jobs
The median wage is $77K / yr.
$72.6K - $82K
16% of jobs
$82K - $91.5K
13% of jobs
$95K is the 75th percentile. Wages above this are outliers.
$91.5K - $101K
9% of jobs
$101K - $110.4K
5% of jobs
$110.4K - $119.9K
9% of jobs
$119.9K - $129.4K
3% of jobs
$129.4K - $138.8K
2% of jobs
$34.7K
$84.4K
$138.8K
How much do weekend data analyst jobs pay per year?
As of Sep 1, 2026, the average yearly pay for weekend data analyst in Freeport, NY is $84,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,800.00 and $99,000.00 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?
| Aspect | Weekend Data Analyst | Part-Time Data Analyst |
|---|---|---|
| Credentials | Bachelor's in Data Science, Statistics, or related field; often some experience | Similar credentials; may require less experience or specific certifications |
| Work Environment | Typically on-site or remote, working during weekends or specific hours | Flexible hours, can work weekdays or weekends, often remote |
| Employer & Industry | Businesses needing weekend analysis, retail, healthcare, or finance | Various industries, including retail, marketing, and consulting |
| Search & Comparison Intent | Looking for weekend-specific data roles | Seeking 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.
More about Weekend Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Freeport, NY?
The most popular types of Data Analyst jobs in Freeport, NY are:
What job categories do people searching Weekend Data Analyst jobs in Freeport, NY look for?
The top searched job categories for Weekend Data Analyst jobs in Freeport, NY are:
What cities near Freeport, NY are hiring for Weekend Data Analyst jobs?
Cities near Freeport, NY with the most Weekend Data Analyst job openings:
Job description
Job Description
Position: Data Analyst.
Duration: 3+ Years
Location: Brooklyn, New York 11201.
REQ ID: 06022017-2DA
PROJECT SCOPE: NYCERS seeks at minimum two (2) Data Analysts to work with the Information Technology (IT) Division for a period up to 36 months. NYCERS reserves the right to hire the candidate(s) as an employee, at no additional cost, after a period of six (6) months The Data Analyst will primarily be responsible for detailed field level analysis, profiling and mapping of the current IBM zVSE Mainframe VSAM files. The Data Analyst will create and maintain the master data dictionary and mapping to NYCERS mission critical applications and inventory of its components.
The Data Analyst must be available to work a minimum of 40 hours per week.
Justification:
The Data Analyst's role is to create a master Data Dictionary and Source-to-Target mappings for all NYCERS Mainframe fields extant in VSAM files and embedded in COBOL program code. This is critical to establishing the entire universe of Mainframe fields and data currently in use and understanding the nature and purpose of each field for the data profiling/cleansing exercise. NYCERS IT will leverage the Data Dictionary and Source-to-Target mappings in automated processes that retrieve Mainframe data and prepare it for Legacy Replacement initiative and sharing with existing non-mainframe applications.
1. Mandatory Skills: Candidate must meet all the requirements below to be considered for the for this position:
Must have excellent interpersonal, communication, presentation, writing, analytical, problem solving, and information gathering skills along with fundamental technique troubleshooting abilities.
Ability to facilitate sessions and one-on-one meetings with developers and managers, meet deadlines, and work well under pressure.
Minimum of five (5) years of source-to-target data mapping experience in a mixed Mainframe, relational database and object storage environment.
Experience creating data dictionary documentation and data definitions/domains.
Experience mapping/converting VSAM data to SQL databases and object relational databases.
Experience extracting field references and calculated data from COBOL programs.
Understanding of data structures and their relationship to applications.
Ability to work in multiple development environments or systems: IBM Mainframe, Windows Server and SQL Server.
Experience extracting field references from C# and Java application code.
2. Preferred Experience:
Experience with legacy and unstructured data.
Experience with ETL and Data Quality/Profiling tools.
4
Experience extracting business rules from the existing legacy code.
Experience creating automated inventory of mainframe components.
Experience with MS Visual Studio and .NET.
3. Assumptions Regarding Consultant Tasks and Deliverables
The Data Analyst shall provide NYCERS' Data Management with technical expertise for the completion of Data Quality, Data Profiling and Data Cleansing effort as well as NYCERS' ongoing process improvement programs. The following deliverables shall apply:
Participate in identification, inventory, and classification of NYCERS critical data
Work with data SME's to document data quality rules and definitions
Transform business rules into technical specifications to cleanse the data prior to the migration
Provide technical and analytical support to NYCERS data integrity and quality initiatives
Collaborate with data SME's and technical leads in identifying and addressing data quality gaps
Work with IT partners to remediate identified gaps using both manual and automated solutions
Support processes that proactively detect, correct, and prevent invalid data values.
Additional Information
All your information will be kept confidential according to EEO guidelines.
About Ask IT Consulting
Sourced by ZipRecruiter
Ask IT Consulting, based in Holtsville, NY, US, is a dynamic player in the IT and business solutions industry. Their services portfolio, as outlined on their official website (askitc.com), spans across a broad spectrum which includes IT consulting, talent management, digital and technology solutions. Founded with the goal to provide clients with the highest quality IT services, the company has steadily evolved and expanded as a leading resource, maintaining a powerful presence in the fields of information technology and business solutions alike. Ask IT Consulting believes firmly in its core values, which pivots upon integrity, excellence, respect, commitment, and diversity. As part of its mission, the company strives to deliver innovative and effective solutions for their clients that are tailored to meet their unique needs and objectives.
Industry
It services
Company size
51 - 200 Employees
Headquarters location
Holtsville, NY, US
Year founded
2008