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Statistical Programmer Analyst Jobs Near Me

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Marketing Analytics Manager

Columbus, OH · On-site

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

iSpace, Inc

Data Engineer/Analyst

Raymond, OH · On-site

$57/hr

Data Analyst / Engineer Location: Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote ... Familiarity with Python, R, SQL, Tableau/PowerBI knowledge of statistical analysis techniques.

micro1 AI

Director of Biostatistics

Columbus, OH · Remote

$60 - $65/hr

Solid understanding of statistical methods used in confirmatory trials, including survival analysis, mixed models, covariate adjustment, multiplicity control, and estimand and missing-data strategies ...

Monitise

AI Engineer

Columbus, OH · On-site

... statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat analysts, and infrastructure teams to transform large-scale ...

Fiserv, Inc.

AI Engineer

Columbus, OH · On-site

... statistical techniques to detect, prevent, and respond to cyber threats. You will work closely with cybersecurity engineers, threat analysts, and infrastructure teams to transform large-scale ...

City Auto Glass, inc.

Lead Data Scientist

Columbus, OH · On-site

$100 - $130/hr

Advanced experience with top statistical programming languages (R or Python). * Experience working in cloud‑based analytics environments. * Hands‑on experience building regression, classification ...

Kemper

Data Science Manager

Columbus, OH · Hybrid

Graduate degree in Mathematics, Statistics, Engineering, or other STEM field with 6-8 years of experience in insurance industry or related industry in a data science/analytics environment. * PhD in ...

Munich Re

Data Scientist

Columbus, OH · On-site +1

... DevOps. Skills / Knowledge / Experience: * Develop and project manage modeling projects and statistical analyses. * Effectively communicate results to business partners and help drive business ...

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How much do statistical programmer analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for statistical programmer analyst in the United States is $100,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,000.00 and $126,500.00 per year, depending on experience, location, and employer.

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Statistical Programmer Analyst jobs near you
A map of the United States highlighting the number of Statistical Programmer Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Statistical Programmer Analyst job openings in each state, with California having the most at 2 and Alaska the least at 0.

Lead Data Engineer (Senior Programmer/Analyst)

STAFFXPERT LLC

Columbus, OH • On-site

$107K - $128K/yr

Other

Posted 10 days ago

Job description

Job Title Lead Data Engineer (Senior Programmer/Analyst)

Location Columbus, OH (Onsite)

Job Summary

STAFFXPERT LLC is seeking a Lead Data Engineer on behalf of our client in Columbus, OH. This role is ideal for a highly skilled data professional with extensive experience designing, building, and optimizing enterprise-scale data pipelines and data platforms. The successful candidate will work closely with business stakeholders, data scientists, analysts, and governance teams to deliver scalable data solutions that support analytics, reporting, and data-driven decision-making.

This position requires strong expertise in modern data engineering practices, cloud-based technologies, data architecture, and large-scale data integration.

Key Responsibilities

  • Design, develop, and maintain scalable and efficient data pipelines and data integration solutions.

  • Architect and implement enterprise data platforms that support business intelligence, analytics, and data science initiatives.

  • Collaborate with data scientists, business analysts, and stakeholders to gather requirements and deliver data solutions aligned with business objectives.

  • Build, optimize, and manage data ingestion, transformation, and processing workflows across diverse data sources.

  • Ensure data quality, consistency, governance, and compliance across data assets.

  • Partner with data governance teams to promote reusable and governed data products.

  • Implement data testing, monitoring, and performance optimization strategies.

  • Support DevOps and CI/CD practices, including version control, automated testing, deployment, and release management.

  • Mentor junior team members and provide technical leadership across projects.

  • Lead cross-functional initiatives and contribute to enterprise data strategy and best practices.

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, Engineering, or a related field.

  • 7+ years of experience in Data Engineering, Data Integration, Data Management, or related disciplines.

  • 7+ years of hands-on experience with database development, SQL programming, ETL/ELT processes, and advanced analytics environments.

  • Strong experience designing, building, and optimizing large-scale data pipelines and data architectures.

  • Experience working with large, complex, and heterogeneous datasets.

  • Solid understanding of data modeling, data governance, data quality, and data management best practices.

  • Experience with cloud-based data engineering technologies and platforms.

  • Knowledge of DevOps methodologies, CI/CD pipelines, version control systems, and automated testing practices.

  • Strong analytical, problem-solving, and communication skills.

  • Proven ability to lead initiatives and collaborate effectively with technical and non-technical stakeholders.

Preferred Qualifications

  • Master’s degree in Computer Science, Statistics, Data Science, or a related field.

  • Hands-on experience with data testing and validation frameworks.

  • Experience with data preparation and data wrangling tools.

  • Strong experience with AWS data engineering services, including AWS Glue, AWS Lambda, Amazon Athena, Amazon S3, and Amazon Redshift.

  • Experience with business intelligence and reporting tools such as Power BI, Tableau, or similar platforms.

  • Familiarity with open-source and commercial data science platforms.

  • Experience working in Agile delivery environments.

  • Demonstrated success leading cross-functional teams and mentoring junior professionals.

  • Experience within the Financial Services, Banking, Insurance, or FinTech industry is highly preferred.

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