Senior Analyst, Marketing

About MCU:

At Municipal Credit Union, we believe that an incredible culture helps create a happy and motivated team that works hard to achieve the best results for themselves and their members. For more than 100 years, MCU has provided affordable financial products and convenient services to a membership base that is now comprised of over 600,000 individuals. With each new generation we have the pleasure of interacting with, we maintain the credit union promise of people helping people.

Our Mission:

To help hard-working New Yorkers build better tomorrows

Our Vision:

Be New York's most loved financial institution by helping our members build their best financial futures

Overview: Reporting to the Director of Strategic Insights, the Senior Analyst will be responsible for analyzing disparate data sources to provide recommendations that guide MCU’s member-centric growth strategy. Using both structured and unstructured data, this senior analyst will be responsible for applying a variety of analytic techniques to uncover growth segments, guide product development, and support personalization efforts. The analyst will help develop clear, actionable recommendations and deliver results to senior leaders.

Responsibilities:

Specific duties include, but are not limited to, the following:

• Identity and prepare structured and unstructured data for analysis
• Conduct in-depth analysis to inform member segments, product development, and personalization efforts
• Work with business partners and the Director of Strategic insights to identify and prioritize projects with the greatest potential for impact.
• Translate analysis results into business-oriented action items
• Communicate results to marketing and other business leaders
• Develop processes and methods for tracking impact of recommendations
• Serve as a ‘data end user’ SME to identify areas of improvement for data processes and systems

Requirements:

• Bachelor’s degree in Math, Statistics, Data Science, Engineering, or other quantitative field
• 3+ years in data analytics
• Proven ability to aggregate and synthesize larger data sets from multiple sources
• Working knowledge of Python, R, or other analytic language
• Proficiency with Power BI, Tableau, or other BI tools
• Familiarity with statistical and machine learning modeling algorithms
• Strong presentation skills and ability to communicate complex ideas simply

Competencies:

• Proficiency in Microsoft Office Suite
• Excellent member service skills
• Excellent research and problem-solving skills