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Part Time Statistics information

What is the difference between Part Time Statistics vs Part Time Data Analyst?

AspectPart Time StatisticsPart Time Data Analyst
Required CredentialsTypically a degree in statistics, mathematics, or related fieldOften a degree in data analysis, statistics, or computer science
Work EnvironmentResearch firms, government agencies, educational institutionsBusinesses, tech companies, consulting firms
Industry UsageUsed in research, academia, government projectsApplied in business analytics, marketing, finance
Common Search IntentUnderstanding statistical roles, part-time opportunities in statisticsPart-time data analysis jobs, data analyst roles

Part Time Statistics focuses on roles centered around statistical theory and research, often in academic or research settings. Part Time Data Analyst involves analyzing data to support business decisions, typically in corporate environments. While both roles require analytical skills, their work environments and industry applications differ significantly.

What is a part-time statistician?

Part-time statistics jobs involve working fewer hours than a full-time role, often offering flexible schedules suitable for students, professionals seeking side income, or those balancing other commitments. These positions typically require analyzing data, creating statistical models, and interpreting results to support business decisions or academic research. Duties may include gathering data, using statistical software, and preparing reports. Part-time statistics jobs can be found in sectors like education, healthcare, government, and private industry.

What are some typical challenges faced by part-time statistics professionals, and how can they effectively manage their workload?

Part-time statistics professionals often navigate challenges such as balancing project deadlines with limited working hours and managing multiple assignments simultaneously. They may also encounter difficulties staying fully integrated with full-time teams and accessing ongoing project updates. To manage these challenges, clear communication with supervisors, setting realistic expectations, and making efficient use of data analysis tools are key. Regular check-ins and proactive time management can help ensure successful project delivery and maintain a collaborative team environment.

Are part time statisticians still in demand?

Part-time statisticians are still in demand as organizations seek flexible data analysis support for projects, especially those skilled in statistical software like R or SAS. Opportunities exist across industries such as healthcare, finance, and marketing, often requiring strong analytical skills and the ability to work independently. The demand for part-time roles depends on industry needs and the ability to deliver timely insights.

What are the key skills and qualifications needed to thrive as a part-time statistician?

To thrive as a Part-Time Statistician, you need a strong background in statistics, mathematics, and data analysis, usually supported by a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, and proficiency in spreadsheet tools like Excel, are commonly required. Strong attention to detail, analytical thinking, and effective communication skills help you interpret data accurately and share insights with non-technical stakeholders. These skills ensure reliable data-driven decision-making and contribute to successful project outcomes.
What are the most commonly searched types of Statistics jobs in New York? The most popular types of Statistics jobs in New York are:
Part Time Statistics jobs near you
Infographic showing various Part Time Statistics job openings in New York as of July 2026, with employment types broken down into 76% Full Time, 18% Part Time, 3% Temporary, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Statistical Programming Assistant

Claims Conference

Manhattan, NY • On-site

Full-time, Part-time

Re-posted 29 days ago

Job description

The Conference on Jewish Material Claims Against Germany (Claims Conference), a nonprofit organization with offices in New York, Israel, Germany and Austria, secures material compensation for Holocaust survivors around the world. Founded in 1951 by representatives of 23 major international Jewish organizations, the Claims Conference negotiates for and disburses funds to individual survivors and organizations and seeks the return of Jewish property stolen during the Holocaust. As a result of negotiations with the Claims Conference since 1952, the German government has paid more than $95 billion in indemnification to individuals for suffering and losses resulting from persecution by the Nazis. In 2025, the Claims Conference distributed approximately $530 million in compensation for survivors globally and $960 million for survivors' welfare needs such as home care, medicine and food.
We are seeking a motivated and technically skilled part-time Statistical Programming Assistant to support research, data analysis, and statistical programming on projects related to the study of Holocaust survivor demography and population research.
This part-time role focuses on statistical computing in R, data validation, research data preparation, analysis and modeling activities while working closely with senior research staff on active research projects. The position is well-suited for students or early-career professionals with formal training in statistics, biostatistics, econometrics, demography or related quantitative field in the social sciences. The work involves careful construction and cleaning of real-world datasets, implementation of statistical models, and production of reproducible research outputs in collaboration with senior research staff.
Note: This is a part-time remote role, 15 hours per week.
Responsibilities
  • Assist with data cleaning, restructuring, and validation;
  • Write and maintain R code for data preparation and applied statistical modeling;
  • Prepare datasets for modeling and analysis;
  • Create reproducible analysis workflows (R scripts, documentation, organized outputs);
  • Prepare summary tables, statistical outputs, and visualizations;
  • Assist with data extraction and wrangling from SQL-based databases.

Required Qualifications
  • Current or recent student in statistics, biostatistics, econometrics, demography, public health, quantitative social sciences, or related field;
  • Proficiency in R for statistical computing (e.g., tidyverse, modeling functions, data manipulation);
  • Coursework in regression analysis and statistical inference;
  • Experience cleaning and preparing data for analysis;
  • Strong analytical and problem-solving skills;
  • Ability to work independently and collaboratively.

Preferred Qualifications
  • Interest in Holocaust studies, Jewish studies, history, demography, or related research areas;
  • Experience with statistical modeling;
  • Comfort working with relational data and SQL queries;
  • Experience working with longitudinal or administrative data;
  • Interest in applied research and population studies.

What This Role Is
  • Applied statistical programming in a research setting
  • Hands-on work with real, complex datasets
  • Focused on inference, modeling, and careful data construction
  • Collaborative, mentored research experience

What This Role Is Not
  • A machine learning engineering position
  • A business intelligence/dashboarding role
  • A product analytics or AI development role

Application Materials
  • Resume/CV
  • Brief statement of interest
  • (Optional) Sample code, portfolio, or GitHub lin

The Claims Conference offers generous benefits, opportunities for professional growth, and competitive salaries based on geographic location. Our PT hourly rate for Data Science & Statistical Programming Assistant in the New York City market is $25. This represents Claims Conference's good faith and reasonable estimate of the range of possible compensation for this role at the time of posting. The final salary for this role will be determined based on careful consideration of a variety of factors, such as the candidate's exact location, experience in similar roles, and expertise related to the qualifications. This information is offered in support of our commitment to transparency.
I acknowledge by proceeding with my application that if employed I will abide by the Claims Conference Statement of Values which can be found at this link.
The Claims Conference is an equal opportunity employer and values diversity. We do not discriminate on the basis of any category protected by law, including (without limitation) race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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