Data Analyst III

This is a fully remote position, open to applicants in United States.

📋 Description

• Perform exploratory analyses on extensive, intricate, and varied datasets.

• Discover significant trends, patterns, anomalies, and opportunities concealed within the data.

• Create clear and persuasive narratives that link analytical insights to business results.

• Convert complex analytical outcomes into actionable recommendations for both technical and non-technical audiences.

• Develop and assess predictive models, forecasting techniques, segmentation frameworks, and advanced analytical solutions.

• Design and implement statistical analyses, hypothesis tests, experiments, and measurement frameworks.

• Support machine learning projects by preparing data, validating results, and assessing performance.

• Build and sustain executive dashboards and self-service analytics solutions on the ATLAS platform.

• Generate intuitive visualizations that clarify complex datasets and aid in strategic decision-making.

• Enhance reporting frameworks, visualization standards, and analytical methodologies.

• Extract, transform, and analyze data from APIs, databases, cloud platforms, and external systems.

• Construct reproducible analytical workflows utilizing SQL, Python, Git, and modern analytics tools.

• Contribute to scalable data models and analytical infrastructure.

• Collaborate closely with clients and internal stakeholders to address business challenges.

• Assist in strategic planning initiatives through quantitative and qualitative research.

• Act as a trusted analytical advisor for both internal teams and external partners.

• Identify opportunities to enhance existing processes, methodologies, products, and analytical frameworks.

• Assess emerging technologies, AI tools, and analytical techniques.

• Help define the future roadmap of the ATLAS platform.

⛳️ Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, Engineering, or a related quantitative field.

• 5–8+ years of experience in analytics, business intelligence, data science, consulting, or related areas.

• Proficient in SQL with experience in querying and optimizing large datasets.

• Strong expertise in Python, R, or both.

• Comprehensive understanding of statistical methods, experimental design, and hypothesis testing.

• Experience in building dashboards and visual analytics solutions.

• Outstanding problem-solving skills and analytical thinking.

• Excellent communication and storytelling abilities with the capacity to present complex findings clearly.

🏝️ Benefits

• Competitive compensation.

• Health, dental, and vision insurance.

• Short-term and long-term disability coverage.

• 401(k) with company match.

• Wellness program.

• Professional development opportunities.

• Flexible hybrid work environment.

• Significant career growth potential.