Director of Account Management managing B2B relationships and strategic initiatives at Progressive Leasing. Leading account management teams to optimize client relationships and drive growth.
About the role
- Account Manager in Business Analytics focusing on banking and marketing sectors. Delivering insights and managing project delivery while collaborating with clients and teams.
Responsibilities
- Lead and manage analytics projects focused on banking/financial sectors.
- Marketing analytics experience, managed and optimized marketing campaigns
- Utilize strong Python skills to develop analytical models and tools.
- Collaborate with cross-functional teams to identify business challenges and deliver actionable insights.
- Engage with clients to understand their needs, present findings, and recommend solutions.
- Oversee project timelines, budgets, and resources to ensure successful project delivery.
- Mentor and guide junior team members in analytics methodologies and tools.
- Stay updated on industry trends and best practices to enhance service offerings.
Requirements
- Bachelor's degree in a related field (e.g., Computer Science, Data Science, Business Analytics).
- Approximately 2 years of experience in banking analytics and/or marketing analytics.
- Strong proficiency in Python for data analysis and/or model development.
- Excellent problem-solving skills with a proven ability to tackle complex business challenges.
- Experience in client management and effective presentation of analytical findings.
- Strong project management skills with a track record of delivering projects on time and within budget.
- Exceptional communication skills, both written and verbal.
- Comprehensive marketing experience from targeting, campaign execution, insight generation through a measurement framework and subsequent optimization skill is good to have
- Experience with exploratory data analysis, feature engineering, pivots, and data summarization is required.
- Understanding basic statistical techniques like t-tests, chi-square tests, hypothesis testing, A/B testing, regression analysis, etc.
- Familiarity with statistical analysis and machine learning concepts.
- Understanding of banking and financial services.
- Experience of programing in PySpark is good to have.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Job title
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