AI Summary / Key Details

  • Role: Remote Operations Research Analyst – Remote – Drive Data-Driven Decision Making
  • Compensation: $25 - $45 / hr
  • Location: Remote
  • How to apply: Click the Apply Now button on this page to submit your resume.
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Are you a data‑driven problem solver looking to make an impact from anywhere in the world? We are seeking an Operations Research Analyst to join our remote team, where you will transform complex data into actionable insights that optimize operations and boost performance.

Company Overview

At DataDrive Solutions, we empower teams to make data‑driven decisions that reshape industries, and we pride ourselves on a culture of curiosity and collaboration.

About the Role

In this position, you will serve as the analytical backbone of our operations team, leveraging quantitative methods to improve efficiency, reduce costs, and enhance decision‑making across all business units. You will collaborate with cross‑functional stakeholders to define key performance indicators, build predictive models, and recommend data‑based strategies that align with our strategic objectives. The ideal candidate thrives in a fast‑paced, remote environment and is passionate about turning raw data into competitive advantage. You will work closely with senior leadership to align analytical initiatives with corporate goals.

Key Responsibilities

  • Develop and apply mathematical models, simulations, and optimization techniques to solve complex operational challenges.
  • Analyze large datasets to identify trends, bottlenecks, and opportunities for process improvement.
  • Collaborate with product, engineering, and finance teams to translate analytical findings into actionable recommendations.
  • Design and maintain dashboards and reporting tools that provide real‑time insights for decision makers.
  • Continuously refine forecasting methods to increase accuracy and support strategic planning.
  • Evaluate the impact of proposed changes through sensitivity analysis and scenario planning.

Requirements

  • Master’s degree in Operations Research, Industrial Engineering, Statistics, or a related quantitative field; or equivalent practical experience.
  • Proficiency in Python, R, or SQL for data manipulation and statistical analysis.
  • Strong understanding of optimization algorithms, linear programming, and simulation techniques.
  • Ability to interpret complex data sets and communicate insights clearly to non‑technical audiences.
  • Proven track record of delivering data‑driven solutions in a remote or distributed team setting.
  • Excellent written and verbal communication skills for presenting findings to senior leadership.

Preferred Qualifications

  • PhD in a quantitative discipline or certification such as INFORMS Certified Analytics Professional.
  • Experience with machine learning libraries such as scikit‑learn or TensorFlow.
  • Familiarity with cloud platforms like AWS or Azure for scalable analytics solutions.
  • Prior work in manufacturing, logistics, or supply chain analytics is a plus.
  • Experience with big data frameworks such as Apache Spark or Hadoop.

Benefits

  • Competitive salary with performance‑based bonuses and equity options.
  • Comprehensive health, dental, and vision coverage for you and your dependents.
  • Flexible working hours and the freedom to work from any location.
  • Annual professional development budget for courses, conferences, and certifications.
  • Generous paid time off and wellness programs.
  • Remote work stipend for home office setup and ergonomic furniture.

Salary Range

Based on industry standards and the scope of responsibility, the annual salary for this position is estimated between $65,000 and $95,000 USD, commensurate with experience and qualifications. These figures are indicative and may vary based on location and experience.

How to Apply

If you are ready to shape the future of operations through data science, please submit your résumé and a brief cover letter outlining your relevant experience to careers@datadrivesolutions.com. We will review applications on a rolling basis and contact qualified candidates for an interview. We are an equal opportunity employer and value diversity in all its forms.