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Job Summary The Associate Director of Operational Analytics is responsible for overseeing the execution of data analysis and analytics strategy across the organization. This role serves as a bridge between the technical analytics team and senior leadership, ensuring that analytics initiatives align with business goals. The Associate Director will play a key role in driving insights from data, managing analytics teams, and implementing best practices in data analytics.
Strategy & Leadership:
- Collaborate with the Director of Analytics and senior leadership to define and refine the analytics strategy.
- Drive the execution of data-driven projects that support business objectives across various functions (e.g., marketing, sales, product, finance).
- Lead the development of analytics frameworks that ensure actionable insights are derived from data and aligned with strategic goals.
Team Leadership & Management:
- Lead and manage a team of data analysts, providing guidance, mentoring, and support to help them succeed in their roles.
- Manage workload distribution, setting priorities, and ensuring timely delivery of analytics projects.
- 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:
- Develop and execute operational analytics strategies to support the business objectives of various departments (e.g., marketing, finance, operations).
- Design and implement analytics frameworks that drive data-driven decision-making.
- Oversee the design and implementation of reports, dashboards, and ad hoc analysis to monitor key performance metrics (KPIs).
- Develop predictive models and advanced analytics solutions to address business challenges and identify growth opportunities.
Process Improvement:
- 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
- Customer Experience Design providing future journey outlook and touch-points
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.
Data Governance & Quality Assurance:
- Ensure data integrity, accuracy, and consistency across analytics projects.
- Implement best practices for data management, reporting, and visualization.
- Help define and enforce data governance standards to ensure the quality of analytics outputs.
Reporting & Performance Monitoring:
- Develop key performance indicators (KPIs) and work with data team to develop and implement dashboards to monitor business performance.
- 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.
Innovation & Improvement:
- Stay up-to-date with the latest analytics tools, technologies, and industry trends.
- Continuously evaluate and improve analytics processes and methodologies.
- Introduce new technologies and practices to enhance the company's data capabilities.
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 2 years 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 $70,000 - $130,000 and is commensurate with experience.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
