Senior Data Analyst / Informaticist

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

This role combines advanced data analytics, predictive modeling, optimization, and AI to solve complex business challenges. You will translate complex datasets into actionable insights that influence strategic and operational decisions. The position works closely with analytics, technology, business teams, and subject matter experts across the organization. You will develop and validate analytical solutions designed to improve programs, products, consumer experiences, and business outcomes. The role offers significant autonomy, with opportunities to influence analytical best practices and departmental strategy. You will communicate findings to diverse audiences, including senior leadership, and help drive decisions with potentially significant financial impact. This is an opportunity to work in a data-driven, continuously improving environment where advanced technology and analytical thinking create meaningful business value.

Accountabilities:

• Apply advanced data analytics, statistical, predictive, AI-enabled, and optimization techniques to address complex business problems and forecast behaviors.
• Mine and analyze complex datasets to identify patterns, opportunities, risks, and insights that support strategic and operational decision-making.
• Develop, test, and validate analytical and predictive models that improve program outcomes, product performance, consumer experiences, and business value.
• Use AI and automation technologies to increase analytical efficiency, uncover new insights, and enhance decision-making processes.
• Translate analytical findings into clear, actionable recommendations for technical, business, and senior leadership audiences.
• Contribute innovative approaches to financial and operational modeling while developing a strong understanding of business context and objectives.
• Coordinate with analytics, IT, business teams, and subject matter experts to ensure projects incorporate relevant organizational knowledge and insights.
• Make decisions regarding technical approaches for project components while operating with minimal direction and considerable autonomy.
• Contribute to analytical strategy, methodologies, and best practices across the department.
• Present findings and recommendations to senior leaders and stakeholders, clearly explaining implications and potential business impact.

Requirements

• Bachelor’s degree with 5+ years of data analytics experience, or a master’s degree with 3+ years of relevant experience.
• Demonstrated experience in data mining, predictive modeling, and using data to influence business outcomes and decisions.
• Proficiency in at least one programming language such as Python, Java, Scala, C, or R.
• Strong knowledge of analytical methodologies, with experience in areas such as forecasting, simulation, predictive modeling, or related techniques.
• Experience leveraging data, analytics, and technology to solve complex business problems.
• Excellent written and verbal communication skills, with the ability to articulate analytical findings and present insights to senior leadership.
• Strong attention to detail and the ability to manage moderately complex to complex analytical assignments.
• Intermediate proficiency with Microsoft Office applications, particularly Word, Excel, and PowerPoint.
• Passion for contributing to an organization focused on continuously improving consumer experiences.
• An advanced degree is preferred.
• Experience using AI-assisted technologies to support business analysis, requirements gathering, data analytics, documentation, or software development is a plus.
• Six Sigma certification is preferred.
• Experience with technologies such as Databricks, Azure, Copilot, Claude, SQL, Python, Power BI, or similar platforms is highly desirable.

Benefits

• $97,900–$133,500 per year in starting base pay, with the actual offer varying based on geographic location, skills, experience, education, certifications, and other job-related factors.
• Eligibility for a bonus incentive plan based on organizational and/or individual performance.
• Full-time schedule of 40 hours per week in a remote, nationwide position.
• Medical, dental, and vision coverage.
• 401(k) retirement savings plan.
• Paid time off, company and personal holidays, and paid parental and caregiver leave.
• Short-term and long-term disability coverage.
• Life insurance and additional whole-person well-being benefits.
• Remote work support, including telephone equipment appropriate for business requirements.
• Internet service requirements of at least 25 Mbps download and 10 Mbps upload; eligible employees working from home in California, Illinois, Montana, or South Dakota receive a bi-weekly internet expense payment.
• Occasional travel to offices may be required for training or meetings.
• Dedicated, interruption-free workspace required to protect member PHI and HIPAA information.
• Opportunities to work with advanced analytics, AI, automation, and data technologies in a mission-driven environment.

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!

Why Apply Through Jobgether?

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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