It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Job Summary

The Senior Manager of Operational Analytics is responsible for analyzing business operations, optimizing processes, and driving data-driven decision-making. This individual will use advanced analytics and business intelligence to identify trends, assess performance, and implement solutions that improve the efficiency and effectiveness of the company's operations.

Operational Optimization:

• Identify areas for process improvements, cost reductions, and increased efficiency through data-driven analysis. Develop and implement optimization strategies.
• Team Leadership & Development: Manage and mentor a team of analysts. Foster a collaborative and data-driven culture within the analytics department.
• Cross-Department Collaboration: Partner with stakeholders in various departments (e.g., operations, supply chain, finance, HR) to gather data, understand challenges, and align on operational strategies.

Advanced Analytics & Tools:

• Utilize advanced analytical tools, such as machine learning, predictive analytics, and automation, to improve business processes and outcomes.

Project Management:

• Oversee operational analytics projects from inception to completion, ensuring timely delivery and alignment with organizational priorities.

Team Leadership & Management:

• Lead and manage a team of data analysts, providing guidance, mentoring, and support to help them succeed in their roles.
• Foster a collaborative, high-performance environment within the analytics team.
• Conduct performance reviews, set goals, and provide professional development opportunities for team members.

Analytics Strategy & Execution:

• Analyze and operationalize data across various departments to monitor performance, identify trends, and develop actionable insights
• Oversee operational analytics projects from inception to completion, ensuring timely delivery and alignment with organizational priorities
• Develop and execute operational analytics strategies to support the business objectives of various departments (e.g., marketing, finance, operations).
• Develop predictive models and advanced analytics solutions to address business challenges and identify growth opportunities.
• Map clients' strategic and core customer experience processes
• Deliver effective process gap identification activities to detect improvement and opportunity areas systematically and proactively
• Provide quantified (with ROI) and actionable recommendations to improve operational performance on KPIS.
• Journey map and re-design, focus on identifying opportunities to re-design the customer journey and better fulfill customer and client needs

Cross-Functional Collaboration:

• Work closely with business internal and external stakeholders across various departments to understand their data needs and translate them into actionable insights.
• Partner with product, marketing, sales, and finance teams to identify key business questions and deliver relevant data-driven solutions.
• Communicate findings, insights, and recommendations clearly to non-technical stakeholders and senior leadership.
• Will work with Operations to implement and measure recommendations.
• Stakeholder Communication: Present findings and recommendations to executives and key stakeholders, simplifying complex data insights into clear and actionable business recommendations.

Reporting & Performance Monitoring:

• Track and report on the effectiveness of data-driven initiatives.
• Regularly report on the effectiveness of analytics initiatives, providing clear, actionable insights to senior leadership.
• Monitor and evaluate the performance of analytics models and tools, ensuring they meet business needs and goals.

Qualifications and Education Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• BPO Experience Required
• 5 years of experience in data analytics or business intelligence, with at least 1 year in a management role.
• Proven experience in delivering actionable insights from large datasets and building reports and dashboards.
• Strong understanding of analytics tools and technologies, such as SQL, Python, R, Tableau, Power BI, etc.
• Leadership and team management skills, with a track record of leading analytics projects.
• Excellent communication and presentation skills, with the ability to simplify complex data insights for non-technical audiences.
• Deep understanding of data architecture, data governance, and business intelligence systems.
• Experience with data visualization, statistical modeling, and business intelligence platforms.
• Strong problem-solving skills and the ability to think strategically about data applications.
• Expertise in using machine learning algorithms, predictive modeling, and statistical analysis to support business initiatives.

This description portrays in general terms the type and level(s) of work performed and is not intended to be all-inclusive, nor the specific duties of any one incumbent.

Work Type: Full-Time

Location: Remote, anywhere in the United States

Salary: For candidates residing in CA, WA, NV, CO, IL, MD, MA, MN, NJ, NY, RI, VT, or CT, annual salary ranges between $60,000 - $120,000 and is commensurate with experience.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!