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Weekend Data Analyst Jobs in Derry, PA (NOW HIRING)

... Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting, dashboard development ...

... analytical, problem-solving, and attention-to-detail skills • Strong communication and ... Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively ...

... analytical, problem-solving, and attention-to-detail skills • Strong communication and ... Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively ...

You'll partner with cross-functional teams to build a governance framework that supports trusted data products, data mesh principles, and enterprise analytics initiatives. Your work will empower the ...

Work with stakeholders to understand business and technical requirements, using a variety of data analysis and organization tools. * Engage with stakeholders and team members to address the changing ...

Work with stakeholders to understand business and technical requirements, using a variety of data analysis and organization tools. * Engage with stakeholders and team members to address the changing ...

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Weekend Data Analyst information

See Derry, PA salary details

$30.2K

$73.5K

$121K

How much do weekend data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for weekend data analyst in Derry, PA is $73,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Data Analyst jobs in Derry, PA? The most popular types of Data Analyst jobs in Derry, PA are:
What cities near Derry, PA are hiring for Weekend Data Analyst jobs? Cities near Derry, PA with the most Weekend Data Analyst job openings:

Data & Analytics Senior Analyst

S and T Bank

Indiana, PA • On-site

$48K - $115K/yr

Full-time

Re-posted 2 days ago


Job description

Location:
800 Philadelphia Street
Indiana, Pa 15701
or
358 N Shore Drive
Pittsburgh, Pa 15212
Hours:
Monday - Friday: 8AM-5PM
(Additional hours as necessary to meet the objectives of the department)
Function: The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and analytical needs of their designated business partners. Delivers solutions including reporting, dashboard development, predictive analytics, and ad hoc projects while serving as a subject matter expert for designated reports/data.
Duties and Responsibilities:
• Delivers analytical solutions, in a timely and accurate manner, with some direction from their respective Team Leader, that address the needs of their assigned business partner(s).
• Accountable for the ongoing production and maintenance of reports and dashboards within an independent capacity and with minimal oversight; serves as a subject matter expert for designated reports/data and responds efficiently to end user questions.
• Acquires knowledge and expertise to builds an increasing understanding of assigned business areas with an increased focus on identifying opportunities to further create value through applied analytics.
• Effectively collaborates and communicates with business partners, focusing on conveying outcome-based results from the gathering and reporting of analytics.
• Develops an effective working knowledge of the underlying bank data, effectively navigating, with limited direction, the Bank's data to deliver analytical assignments.
• Effectively leverages analytical platforms (e.g., BIC, Tableau) to efficiently fulfill analytical assignments; increasingly applies advanced analytical techniques in support of predictive analytics and makes recommendations to further enhance dashboards and reporting capabilities.
• Demonstrates a deep understanding of the inherent risk of managing data assets and ensures compliance of appropriate bank policies and regulatory requirements while delivering business results.
• Maintains a good working relationship with Bank employees. Demonstrates a strong ability to work independently, as well as motivated to work as a team player to contribute to the success of the department and in turn, the organization.
• Performs additional duties as assigned.
Education:
Requires a four-year degree in data science, computer science, applied mathematics, statistics, business, economics, and/or quantitative discipline preferred.
Experience:
Two to five years general experience with two to five years specialized experience in analytics and financial services.
Physical Demands:
Operates a keypad device: 90% of the day; operates office equipment: 90% of the day. Must be able to occasionally lift and/or move up to 10 lbs. Use of manual dexterity skills for typing up to 90% of the business day. Specific vision requirements include close vision of 18"-20", distance vision and depth perception for computer work. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c)
Salary Range:
$48,000.00 - $115,500.00