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Entry Level Statistical Programmer Jobs in New York

Dhalite Inc.

Entry-Level Business Analyst

Manhattan, NY · On-site

Collaborate with Business Analysts, Developers, QA Engineers, Product Owners, and Project Managers ... Statistics , or a related field. * 0-2 years of experience in Business Analysis, Data Analysis ...

Gain America

Entry Level Data Scientist

Hicksville, NY · On-site

$70K/yr

... Statistics background Technical and Soft Skills Required Experience in Python programming and understanding of the software development life cycle Knowledge of Linear Algebra, Statistics, and ...

WSP

Early Career Structural Engineer

Manhattan, NY · On-site

Perform routine engineering functions and provide entry-level technical assistance on various ... location data, statistical documentation, engineering studies and surveys, and construction.

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Entry Level Statistical Programmer information

What does an entry level statistical programmer do?

An Entry Level Statistical Programmer assists in analyzing data using statistical software, such as SAS or R, primarily in industries like pharmaceuticals, healthcare, or research. They are responsible for coding, cleaning, and organizing datasets, generating tables, listings, and figures, and ensuring data accuracy. These programmers work closely with statisticians and data managers to support clinical trials or research projects. The role serves as a foundation for more advanced programming and data analysis positions.

What are the key skills and qualifications needed to thrive as an entry level statistical programmer?

To thrive as an Entry Level Statistical Programmer, you need a solid understanding of statistics, programming (especially in SAS, R, or Python), and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with data analysis tools, statistical software (like SAS or R), and version control systems is typically required, and SAS certification can be an advantage. Attention to detail, problem-solving ability, and effective communication are valuable soft skills for this role. These skills and qualities are crucial for accurate data analysis, efficient collaboration, and producing reliable results in data-driven environments.

What are some common challenges faced by entry level statistical programmers when transitioning from academic projects to real-world clinical trial data?

Entry level statistical programmers often find the transition to industry challenging due to the complexity of real-world clinical trial data, strict regulatory requirements, and the need to adhere to standardized processes like CDISC. Unlike academic projects, the work environment emphasizes collaboration with statisticians, data managers, and clinical teams, making communication and teamwork vital. Additionally, maintaining high-quality documentation and learning to use industry-specific tools and programming standards are crucial for success. Seeking mentorship and being proactive in learning these processes can help new programmers adapt more quickly.

What is the difference between Entry Level Statistical Programmer vs Data Analyst?

AspectEntry Level Statistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; basic programming skills (SAS, R)Bachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical or clinical research settings; focus on data processing and programmingVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsagePharmaceutical companies, CROs, biotech firmsCorporations, consulting firms, healthcare organizations

While both roles involve working with data, Entry Level Statistical Programmers primarily focus on programming and data management within clinical or research settings, whereas Data Analysts interpret data to inform business decisions across various industries.

What are the most commonly searched types of Statistical Programmer jobs in New York?

The most popular types of Statistical Programmer jobs in New York are:

What are popular job titles related to Entry Level Statistical Programmer jobs in New York?

For Entry Level Statistical Programmer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Statistical Programmer jobs in New York look for?

The top searched job categories for Entry Level Statistical Programmer jobs in New York are:

Entry Level Statistical Programmer jobs near you
Infographic showing various Entry Level Statistical Programmer job openings in New York as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Entry-Level Business Analyst

Manhattan, NY • On-site

Dhalite Inc.
11 - 50 employees
Learn more about Dhalite Inc.external

Other

Re-posted 20 days ago

Job description

Entry-Level Business Analyst

Location: New York, NY, USA
Job Type: Full-Time
Experience: 0–2 Years

Job Description

We are seeking a motivated and detail-oriented Entry-Level Business Analyst to join our team. This position is ideal for entry level candidates and early-career professionals interested in building a career in business analysis, data analytics, and technology.

The Business Analyst will work with business stakeholders and technical teams to gather requirements, analyze business processes and data, prepare documentation, and support projects and data-driven business decisions.

Key Responsibilities

  • Gather, analyze, and document business requirements from stakeholders.

  • Translate business needs into functional requirements, user stories, and acceptance criteria.

  • Analyze business processes and identify opportunities for process improvement.

  • Prepare and maintain Business Requirement Documents (BRDs), functional requirements, process flows, and project documentation.

  • Analyze business and operational data using Microsoft Excel and SQL.

  • Assist with creating reports, dashboards, and KPI presentations using Power BI or Tableau.

  • Support User Acceptance Testing (UAT), test case preparation, and requirement validation.

  • Track requirements, project activities, issues, action items, and deliverables.

  • Collaborate with Business Analysts, Developers, QA Engineers, Product Owners, and Project Managers.

  • Participate in Agile ceremonies, stakeholder meetings, and project discussions.

  • Perform ad hoc business and data analysis as required.

  • Present findings and recommendations to technical and non-technical stakeholders.

Required Qualifications

  • Bachelor's degree in Business Administration, Business Analytics, Information Systems, Computer Science, Finance, Economics, Mathematics, Statistics, or a related field.

  • 0–2 years of experience in Business Analysis, Data Analysis, Reporting, Operations, or a related area.

  • Strong analytical and problem-solving skills.

  • Good written and verbal communication skills.

  • Basic understanding of business analysis concepts and requirements gathering.

  • Proficiency in Microsoft Excel.

  • Basic knowledge of SQL.

  • Strong attention to detail and organizational skills.

  • Ability to work independently and collaboratively in a team environment.

Preferred Skills

  • Familiarity with Power BI or Tableau.

  • Knowledge of JIRA and Confluence.

  • Understanding of Agile/Scrum methodologies.

  • Basic understanding of SDLC.

  • Experience creating user stories, BRDs, FRDs, or process flow diagrams.

  • Knowledge of UAT and test documentation.

  • Basic Python knowledge is a plus.

  • Relevant internship, academic project, or certification in Business Analysis or Data Analytics is a plus.

Ideal Candidate

The ideal candidate is a recent graduate or early-career professional with strong communication skills, analytical thinking, attention to detail, and a willingness to learn. Candidates with relevant academic projects, internships, or experience in business, operations, customer service, or data analysis are encouraged to apply.

Skills

Business Analysis, Requirements Gathering, SQL, Microsoft Excel, Power BI, Tableau, Agile, Scrum, SDLC, JIRA, Confluence, Data Analysis, Reporting, UAT, BRD, FRD, User Stories, Process Improvement

Equal Opportunity

We are an equal opportunity employer and consider qualified candidates without regard to legally protected characteristics.

Apply