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Weekend Data Analytics Jobs in Philadelphia, PA (NOW HIRING)

Senior Data Analyst

Crum Lynne, PA ยท On-site

$90K - $150K/yr

As part of the Data Analytics Team, you will help with development of TransUnion's IP Geolocation technology, leveraging IP network topology.You will be working with other Data Analytics Team members ...

It serves as a key operational contributor to the Data, Analytics & Applied AI team, enabling data-driven decision-making and sustaining the quality and reliability of ECRI's data assets. ESSENTIAL ...

This might include weekend and off hours support. Candidates should be local to the office. Mandatory: 1. Strong Data Profiling and Analysis skills 2. Strong SQL knowledge 3. Strong Data Mapping and ...

Required Knowledge and Experiences * 7+ years of experience in data analytics, data strategy, product analytics, data acquisition, or related disciplines with demonstrated success driving business ...

Required Knowledge and Experiences * 7+ years of experience in data analytics, data strategy, product analytics, data acquisition, or related disciplines with demonstrated success driving business ...

Data Analyst

Trenton, NJ ยท On-site

$45 - $50/hr

Data Analyst Location: Trenton, NJ ( Hybrid ) 3 days onsite and 2 days remote Duration: Contract Interview Type: In Person Interview Short Description: Data Analyst provides technical analysis ...

Data Analyst

Trenton, NJ ยท On-site

$80 - $100/hr

Data Analyst Location: Trenton, NJ (Hybrid) 3 days onsite and 2 days remote Duration: Contract Interview Type: In Person Interview Short Description: Data Analyst provides technical analysis ...

Data Analyst

Philadelphia, PA ยท On-site

$65K - $85K/yr

Data Analyst Location: Onsite, Philadelphia, PA Position Summary The Data Analyst supports the Client's Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that ...

Data Analyst

Dresher, PA ยท On-site

$60 - $80/hr

This position reports directly to the Analytics Manager and will be responsible for data gathering, analysis, and reporting. What a day in the life of a Data Analyst looks like: * Acquire data from ...

Data Analyst Location: Trenton, NJ Job Type: Contract - 11 Months (Possibility of extension) Interview: Both Web Cam and In Person Interview Work Mode: Hybrid for 3 days onsite and 2 days remote ...

Loading transformed data into storage and reporting structures such as data warehouses, real-time reporting systems and analytics applications * Drawing conclusions from data analysis and assessing ...

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Showing results 41-60

Weekend Data Analytics information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do weekend data analytics jobs pay per year?

As of Sep 7, 2026, the average yearly pay for weekend data analytics in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may occasionally work on weekends to meet project deadlines or analyze time-sensitive data. Weekend work is more common in roles with urgent reporting needs or in industries that operate 24/7, and it often depends on the company's policies and project requirements.

What are the most commonly searched types of Data Analytics jobs in Philadelphia, PA?

The most popular types of Data Analytics jobs in Philadelphia, PA are:

Actuarial Data Science Analyst (Insurance Hybrid role)

PA Compensation Rating Bureau.

Philadelphia, PA โ€ข On-site

Full-time

Re-posted yesterday


Job description

Job Summary:

This position supports actuarial research, business intelligence, and data analytics initiatives through statistical analysis, data engineering, and analytical model development. The employee is responsible for designing and maintaining data pipelines, performing actuarial and statistical analyses, developing analytical tools and dashboards, and communicating research findings and recommendations to technical and non-technical audiences.

The position works with large datasets using programming languages such as Python and R, SQL, and Snowflake to automate processes, conduct research, and support strategic business decisions. Responsibilities include developing reports and visualizations, evaluating emerging analytical methods, and participating in multiple concurrent projects, including research studies, data integration, predictive analytics, and business intelligence initiatives.

Essential Responsibilities:

  • Responsible for statistical analyses, actuarial and/or research models
  • Design and maintain data pipelines, analytical models, and automated processes using Python, R, SQL, Snowflake, or other programming languages.
  • Extract, validate, and analyze data from multiple sources to support research and business initiatives.
  • Drawing inferences, developing reports, and presenting analysis and recommendations to technical and non-technical audiences.
  • Participates in multiple research, business intelligence, and data analytics projects simultaneously

Requirements:

 Education: Bachelor’s Degree – B.A. / B.S. Mathematics, Statistics, Economics or Computer Science strongly preferred. A degree in Actuarial Science or a Masters in Data Science related field a plus. 

 Experience: 3 to 6 years experience in related field. 

Skills Required: Strong organizational, communication, written, and analytical skills with the ability to work independently and manage multiple priorities. Programming proficiency in Python and R is a core requirement, including experience with data manipulation, statistical analysis, and process automation. Experience with SQL, Snowflake, and advanced Excel is required. Experience with business intelligence platforms such as Pyramid, Power BI, or Tableau is preferred. The candidate must communicate effectively with all levels of personnel and external contacts.

Preferred Qualifications

  • Actuarial background or experience in the property & casualty insurance industry is a plus.

 Work Hours:

Normal PCRB hybrid Flex time is available. Employee must be flexible when needed as projects or deadlines may sometimes necessitate extended hours.