
Senior Business Analytics Specialist
4 days ago
We are seeking a skilled Senior Consultant to join our team in Marketing Analytics.
This role is crucial in developing response rate models and measuring campaign performance for consumer and small business banking products.
The ideal candidate will have a strong analytical mindset, with experience in statistical modeling, data analysis, and data visualization.
- Develop and refine statistical models to predict response rates for marketing campaigns using techniques such as logistic regression, decision trees, and machine learning algorithms to enhance model accuracy.
- Design and implement methodologies to assess the effectiveness of marketing campaigns, track and analyze key performance indicators (KPIs) to evaluate ROI and overall impact.
- Analyze marketing and customer data to identify trends, patterns, and opportunities, providing actionable insights to optimize campaign strategies and improve response rates.
- Work closely with marketing, product, and IT teams to integrate analytics into marketing strategies, ensuring alignment with business goals and effective use of analytical models.
- Continuously monitor and validate model performance, making adjustments as necessary to maintain accuracy and relevance.
Key Responsibilities:
- Response Rate Modeling: Develop and refine statistical models to predict response rates for marketing campaigns.
- Campaign Performance Measurement: Design and implement methodologies to assess the effectiveness of marketing campaigns.
- Data Analysis: Analyze marketing and customer data to identify trends, patterns, and opportunities.
- Collaboration: Work closely with marketing, product, and IT teams to integrate analytics into marketing strategies.
- Model Validation: Continuously monitor and validate model performance.
Qualifications and Requirements:
- Education: Bachelor's degree in Finance, Marketing, Data Science, Statistics, Economics, or a related field. Advanced degree (Masters or PhD) is a plus.
- Experience: Minimum of 4 years of experience in banking analytics with a focus on response rate modeling and campaign performance measurement.
- Modeling Skills: Expertise in developing and implementing statistical models and predictive analytics.
- Technical Skills: Proficiency in programming languages such as SQL, Python, or R, experience with data visualization tools (e.g., Tableau, Power BI), and analytics platforms.
- Analytical Skills: Strong ability to analyze complex data sets and extract actionable insights, skilled in statistical analysis and data interpretation.
- Communication Skills: Excellent verbal and written communication skills with the ability to present complex data in a clear and understandable manner.
- Project Management: Ability to manage multiple projects and meet deadlines in a fast-paced environment.
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