Lead the generation of insightful reports aimed at providing leadership with a comprehensive understanding of sales and customer data, with a particular focus on enhancing customer experience and NPS (Net Promoter Score) initiatives.
Drive strategic recommendations derived from thorough analysis to guide decision-making processes and improve overall business performance.
Champion the exploration of data to uncover meaningful insights that can inform strategic initiatives and drive organizational growth.
Collaborate with key stakeholders to develop and implement strategies that leverage insights to enhance customer satisfaction, loyalty, and NPS scores.
Take a proactive approach to identify areas of improvement through continuous monitoring and analysis of NPS scores and customer feedback.
Facilitate discussions and presentations with leadership teams to communicate findings, insights, and actionable recommendations effectively.
Serve as a trusted advisor to leadership, providing expert guidance on leveraging data to drive business outcomes and optimize customer experience initiatives.
Act as a catalyst for change by advocating for data-driven decision-making and fostering a culture of continuous improvement based on insights gleaned from analysis.
Continuously evaluate and refine reporting processes to ensure the delivery of timely, relevant, and impactful insights to leadership stakeholders.
Build tactical projects using data science to solve business problems.
Work with the team and global stakeholders to implement projects to drive NPS strategies.
Use functional understanding to build new capabilities and models to support the business.
Be on a continuous lookout to streamline, digitize and transform the NPS process.
Responsible to leading a team of 5-7 team members.
Coach, mentor and plan the career growth of his/her team members. Get involved in upskilling team members and recruiting the right candidates who match the culture of ABI
Has good experience in project management.
Expert level understanding of tools like Medallia, Customer Gauge, etc.
Understanding of KPIs like: NPS, CSAT, CES, Customer Churn Rate, Customer Retention
Drive customer retention, reduce churn, and increase customer satisfaction.
Map the customer journey and identify opportunities to proactively intervene on the client s behalf.
Test new strategies for driving customer value.
Analyze large amounts of information to discover trends and patterns
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to business challenges
Collaborate with engineering and product development teams
Experience in data mining
Understanding of machine-learning and operations research
Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
Analytical mind and business acumen
Strong math skills (e.g. statistics, algebra)
Problem-solving aptitude
Excellent communication and presentation skills
BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Senior Data Scientist - CP&A

Job Description

Required Skills