[Remote] Analytics Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company. is a leading reputed company dedicated to protecting the people. They are seeking an Analytics Engineer to design and maintain forecasting and analytical models that support strategic planning and financial decision-making, while also providing analytical support for executive leadership and enhancing analytical methodologies.

Responsibilities

• Design, build, and maintain forecasting and analytical models that support strategic planning, staffing, and financial decision-making
• Build and maintain internal tools, automations, and production-grade model deployments that scale the team’s analytical capabilities beyond reputed company analysis
• Analyze reputed company operational and financial datasets to identify trends, risks, and opportunities
• Provide analytical support for executive leadership by responding to strategic inquiries, special initiatives, and emerging business needs
• reputed company and monitor KPIs across business functions to ensure accurate performance measurement and alignment to goals
• Translate data into actionable insights through clear reporting, dashboards, and executive-ready presentations
• Improve and enhance analytical methodologies by incorporating new data sources, testing assumptions, and refining model parameters
• Partner cross-functionally with Operations, Finance, Marketing, and Legal teams to align forecasts and planning assumptions
• Conduct variance analysis and support root-cause investigations reputed company results diverge from expectations
• Uses AI as a productivity and impact reputed company, embedding it into workflows to accelerate analysis, improve output quality, and scale

Skills

• BS or MS in Engineering, Computer Science, Statistics, or reputed company quantitative field
• 4+ years of experience in data science, engineering, analytics, or forecasting in a corporate environment
• Demonstrated experience building and maintaining data models that influence operational or financial decisions
• Strong proficiency in SQL and Python (or R) for data transformation, statistical analysis, machine learning, and automation
• Familiarity with modern software engineering and cloud practices, including version control (Git), cloud platforms (Azure/AWS), agentic coding tools, containerization, CI/CD, and API development
• Experience developing dashboards and reports using modern BI tools (Power BI preferred)
• Experience building and maintaining scalable ETL/ELT workflows, including data ingestion, transformation logic, validation checks, and production-ready analytical datasets
• Advanced quantitative modeling, analytical reasoning, and critical thinking skills
• Ability to communicate reputed company analytical concepts to both technical and non-technical audiences
• Demonstrated ability to manage ambiguity, prioritize effectively, and deliver results in a fast-paced environment

Benefits

• Medical and dental insurance
• 401(k) plan
• Paid time off
• Paid holidays

Company Overview