Analyst - Advanced Analytics

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an Analyst - Advanced Analytics in the United States.

This role offers the opportunity to leverage data science and analytics to drive actionable insights and optimize decision-making. You will focus on analyzing complex datasets, developing predictive signals, and supporting advanced programs that directly impact client and business outcomes. Working in a collaborative, fast-paced environment, you will partner with cross-functional teams to translate business needs into analytical solutions, while gaining hands-on experience with machine learning, data engineering, and advanced reporting. This is an ideal position for someone who thrives on problem-solving, continuous learning, and applying technical expertise to real-world business challenges. Your contributions will enhance strategic initiatives and improve outcomes for both internal teams and clients.

Accountabilities

• Analyze data from multiple sources to identify, create, and validate actionable alerts and signals for business users
• Collaborate with business partners and technology teams to design and implement the most impactful solutions
• Partner with various analytics functions to ensure consistency, gather feedback, and refine analytics products
• Develop working prototypes of machine learning or AI solutions to test and validate concepts
• Conduct ad-hoc analyses to support priority business projects and respond to executive-level questions
• Continuously explore new data sources, analytical methods, and workflow enhancements to improve program outcomes

Requirements

• Bachelor’s degree in Decision Information Science, Engineering, Mathematics, Finance, Economics, or related field
• 2+ years of experience in advanced analytics, data science, or a related quantitative role
• 2+ years of programming or scripting experience (e.g., Python, R)
• 2+ years of experience with relational databases (SQL Server, Oracle, Snowflake), distributed technologies (Hadoop, Spark), and cloud platforms (AWS, Azure)
• Strong problem-solving skills with the ability to identify issues, develop hypotheses, and execute robust quantitative analyses
• Excellent collaboration, communication, and stakeholder management skills
• Preferred: experience building or working with machine learning models and predictive analytics

Benefits

Competitive salary range: $69,718 – $116,197 per year (varies based on experience, location, and qualifications)

Comprehensive health benefits including medical, dental, and vision coverage

401(k) retirement plan with matching contributions

Employee stock options and incentive programs

Paid time off and volunteer time off

Opportunities for professional development and growth in advanced analytics and data science

Flexible and collaborative work environment supporting innovation and continuous improvement

Why Apply Through Jobgether?

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.

#LI-CL1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.