Brightspeed · 6 hours ago

Director, Advanced Analytics

Charlotte, NC

Full-time

Remote

Director/Executive

10+ years exp

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Hiring Manager

Sheenah Smith

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Advanced analyticsSpeech analyticsText analyticsPropensity modelingMachine learningPredictive modelingNLPPythonRSQLTableauAdobe AnalyticsCall MinerVerintNICEData-driven strategiesCustomer segmentationTelecom industry knowledge

Required

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

Proficient in tools like Python, R, SQL, Tableau, Adobe Analytics, and speech analytics platforms (e.g., Call Miner, Verint, NICE)

Expertise in building and deploying propensity models for customer acquisition and churn prediction

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