Director, Advanced Analytics

Summary

Join Brightspeed's growing team as a Director, Advanced Analytics! Optimize sales campaign performance and provide actionable insights to drive critical business decisions in a fast-paced telecom environment. Leverage expertise in advanced analytics, speech and text analytics, and propensity modeling. Build and implement propensity models, utilize machine learning, and conduct A/B testing. Collaborate with cross-functional teams and lead a high-performing analytics team. This role requires extensive experience in advanced analytics and leadership within the telecom industry.

Requirements

• 10+ years of experience in advanced analytics, with at least 5 years in a leadership role within telecom or a related industry, with a proven track record of driving impactful data-driven strategies
• Bachelor’s degree in Analytics, Statistics, Data Science, Marketing, or a related field
• Be proficient in tools like Python, R, SQL, Tableau, Adobe Analytics, and speech analytics platforms (e.g., Call Miner, Verint, NICE)
• Have expertise in building and deploying propensity models for customer acquisition and churn prediction
• Possess strong skills in machine learning, predictive modeling, and NLP techniques
• Excel at translating complex data into actionable insights and establishing performance metrics
• Demonstrate exceptional leadership, communication, and interpersonal skills with the ability to inspire and influence teams and stakeholders
• Bring critical thinking abilities and in-depth knowledge of telecom industry trends, including customer acquisition, churn reduction, pricing strategies, and digital marketing

Responsibilities

• Apply advanced modeling techniques to understand customer behaviors, preferences, and lifetime value, enabling targeted engagement and retention strategies
• Develop analytics to enhance sales channel effectiveness and identify growth opportunities in underperforming markets
• Leverage text and speech analytics to extract insights from customer interactions, refine call drivers, and address root causes of customer issues to improve operations and marketing
• Build and implement propensity models to predict customer acquisition likelihood and churn, driving proactive engagement strategies
• Utilize machine learning, predictive modeling, and NLP to forecast trends, analyze customer preferences, and enhance competitive positioning
• Conduct A/B testing and analyze results to understand pricing and promotional elasticity, informing key stakeholder decisions
• Assess market and competitive dynamics that influence customer migration and switching behavior
• Analyze market trends, pricing strategies, and competitive landscapes to uncover opportunities for differentiation and growth
• Collaborate with network and field operations teams to evaluate their impact on marketing and sales performance
• Partner with data engineering and IT to ensure data pipeline optimization, accuracy, and accessibility
• Develop advanced analytics frameworks for evaluating ROI, customer segmentation, and marketing effectiveness
• Implement KPIs, dashboards, and reporting tools to monitor and improve campaign and customer acquisition performance
• Lead and mentor a high-performing analytics team, fostering a culture of innovation and continuous improvement

Preferred Qualifications

Master’s or MBA

Benefits

• Competitive compensation
• Comprehensive benefits
• Competitive medical, dental, vision, and life insurance
• An employee assistance program
• A 401K plan with company match
• A host of voluntary benefits
• Paid time off programs