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Statistical Modeling Analyst Jobs (NOW HIRING)

Bachelors in a quantitative discipline (Economics, statistics, finance, data science or analytics, math, physics, or related field) * 3+ years of experience in modeling or analytics * Ability to ...

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Statistical Modeling Analyst information

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$30K

$70.5K

$117.5K

How much do statistical modeling analyst jobs pay per year?

As of Jul 1, 2026, the average yearly pay for statistical modeling analyst in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

What types of projects or team collaborations can a Statistical Modeling Analyst expect in this role?

As a Statistical Modeling Analyst, you will often work on projects such as developing predictive models, analyzing large datasets, and creating reports to guide business strategies. Collaboration is common, as you'll frequently partner with data engineers, business analysts, and stakeholders from departments like marketing or finance to define modeling objectives and interpret results. You may be involved in regular meetings to discuss data trends, troubleshoot issues, and present your findings to both technical and non-technical audiences. This dynamic, team-oriented environment fosters learning, exposure to diverse business problems, and opportunities for career growth as your expertise increases.

What is a Statistical Modeling Analyst job?

A Statistical Modeling Analyst uses mathematical and statistical techniques to analyze data and create predictive models that help organizations make informed decisions. They work with large datasets, identify patterns, and develop models to forecast trends or optimize business processes. This role often requires expertise in programming languages like Python, R, or SQL and proficiency in machine learning techniques. Analysts collaborate with cross-functional teams to translate data insights into actionable strategies. Industries such as finance, healthcare, marketing, and technology rely heavily on their expertise to drive data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Statistical Modeling Analyst position, and why are they important?

To thrive as a Statistical Modeling Analyst, you need a solid foundation in mathematics, statistics, and data analysis, typically supported by a degree in a quantitative field such as statistics, mathematics, or economics. Proficiency in statistical software tools like SAS, R, Python, and data visualization platforms is highly valued, along with relevant certifications such as SAS Certified Specialist or similar. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for translating complex data into actionable insights. These abilities allow Statistical Modeling Analysts to provide accurate analyses, facilitate better business decisions, and collaborate effectively with cross-functional teams.

More about Statistical Modeling Analyst jobs
What states have the most Statistical Modeling Analyst jobs? States with the most job openings for Statistical Modeling Analyst jobs include:
What job categories do people searching Statistical Modeling Analyst jobs look for? The top searched job categories for Statistical Modeling Analyst jobs are:
Infographic showing various Statistical Modeling Analyst job openings in the United States as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Statistical Programming Assistant

Statistical Programming Assistant

Claims Conference

Manhattan, NY โ€ข On-site

Other

Posted 8 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.