Accountabilities:
The Quantitative Analyst will support data-driven decision-making by analyzing performance trends, developing analytical solutions, and identifying opportunities to improve contact center outcomes. Key responsibilities include:
Analyze operational and financial performance metrics to identify process gaps, inefficiencies, revenue opportunities, and areas for profitability improvement.
Develop actionable recommendations based on quantitative analysis and collaborate with business leaders to prioritize and implement optimization initiatives.
Create and maintain performance measurement frameworks, dashboards, and automated reporting solutions that provide visibility into key business indicators.
Design and optimize analytics workflows using SQL-based solutions to extract, transform, and analyze large-scale production data.
Build and maintain stored procedures, data transformations, and reporting processes that support operational monitoring and decision-making.
Apply statistical analysis, experimentation frameworks, and A/B testing methodologies to evaluate business opportunities and measure impact.
Translate complex analytical findings into clear insights and recommendations for executive and operational stakeholders.
Partner with cross-functional teams to understand business challenges, define analytical approaches, and deliver solutions that improve performance.
Continuously identify new opportunities to leverage data, automation, and analytics to enhance contact center effectiveness.
Requirements:
The ideal candidate is a quantitative and analytical professional with strong technical skills, business understanding, and experience applying data insights to operational challenges. Qualifications include:
5+ years of experience in quantitative analytics, preferably within a call center, contact center, operations, or similar performance-driven environment.
Advanced proficiency with SQL, including complex T-SQL queries, stored procedures, data extraction, transformation, and analysis.
Experience using data visualization tools such as Power BI, Tableau, or similar business intelligence platforms.
Strong analytical problem-solving skills with the ability to translate complex business questions into measurable quantitative solutions.
Experience designing experiments, A/B testing frameworks, and evaluating business performance through data.
Ability to analyze KPIs and operational metrics to identify revenue opportunities, process improvements, and efficiency gains.
Strong communication skills with the ability to present complex analyses clearly to both technical and executive audiences.
Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field preferred.
Strong attention to detail, curiosity, and the ability to work independently in a fast-moving environment.
Benefits:
Competitive annual compensation range of $130,000 - $150,000.
Fully remote work opportunity.
401(k) retirement plan.
Health insurance coverage.
Dental and vision insurance.
Life insurance and disability insurance.
Paid time off and 12 paid holidays per year.
Paid training opportunities.
Employee discount programs.
Employee referral bonus opportunities.
Opportunity to work on high-impact analytics initiatives that directly influence business performance.
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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