Data Analytics Senior Consultant I [Remote]

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.

Accountabilities:

• 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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.