Data Analytics Senior Consultant I

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analytics Senior Consultant I based in the United States.

This role sits at the intersection of advanced analytics, forecasting, and business decision support, with a strong focus on improving claims demand and capacity planning through predictive modeling. You will design and maintain medium to high-complexity analytical models that directly influence operational efficiency and workforce planning outcomes. The position requires a blend of technical depth and business partnership, translating complex datasets into actionable insights for stakeholders across claims operations. You will also play a key role in modernizing analytical workflows through automation, scalable Python solutions, and enhanced data visualization. Operating in a highly collaborative environment, you will help improve how data is consumed and leveraged across teams. This is a hands-on role for someone who enjoys building models, optimizing processes, and driving measurable business impact through data.

• Develop, maintain, and enhance predictive models and forecasting tools supporting claims demand and capacity planning.
• Build and support Python-based workflows for forecasting, reporting, automation, and scalable analytics solutions.
• Query, clean, and transform large datasets using Python and SQL to create reliable analytical and feature-ready datasets.
• Perform data validation, reconciliation, and anomaly detection to ensure accuracy and integrity of outputs.
• Automate manual reporting and spreadsheet-based processes to improve efficiency and scalability.
• Translate business needs into analytical solutions and deliver clear insights to stakeholders and product teams.
• Design and implement improvements in forecasting methodologies and operational analytical processes.
• Support knowledge sharing and cross-training to strengthen team capability and analytical consistency.

Requirements:

• 2+ years of hands-on experience in data analytics, reporting, or predictive modeling environments.
• Strong proficiency in Python for data analysis, workflow development, feature engineering, and model building.
• Advanced SQL skills, including joins, aggregations, window functions, and complex querying.
• Experience working with large and complex datasets in enterprise or production environments.
• Solid understanding of forecasting concepts, demand planning, or capacity modeling (preferred).
• Experience troubleshooting, debugging, and optimizing analytical workflows and data pipelines.
• Strong knowledge of data visualization, reporting tools, and business intelligence practices.
• Advanced Excel skills, with the ability to build complex formulas and perform structured analysis.
• Strong communication skills with the ability to explain technical findings to non-technical stakeholders.
• Excellent organization, time management, and collaboration skills in virtual team environments.

Benefits:

• Competitive annual salary ranging from $70,100 to $121,475, depending on experience and qualifications.
• Comprehensive medical, dental, and vision insurance coverage.
• Retirement savings plan with employer contributions.
• Paid time off and generous leave policies.
• Remote work setup with provided technology equipment (laptop, headset, monitors, peripherals).
• Monthly internet and home connectivity reimbursement for eligible remote employees.
• Access to learning opportunities and professional development support.
• Inclusive workplace culture focused on innovation, impact, and continuous improvement.