drjobs Senior Data Analyst

Senior Data Analyst

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1 Vacancy
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Job Location drjobs

Seattle - USA

Monthly Salary drjobs

$ 104582 - 177789

Vacancy

1 Vacancy

Job Description

Position Purpose

The Customer Analytics Lead will be responsible for leveraging data and analytical techniques to understand customer behavior and drive business growth. They will work closely with cross-functional teams including marketing product management and customer service to provide actionable insights that enhance customer acquisition retention and lifetime value.


Essential Functions:


Customer Segmentation

  • Use analytics techniques to segment the customer base and develop strategies for each segment.
  • Develop personas to support targeted marketing and product development strategies.
  • Utilize customer data to segment customers into groups based on behaviors and preferences.
  • Identify cross-sell and up-sell opportunities through customer behavior analysis.
  • Partner with marketing product and customer service teams to optimize customer experience.


Data Analysis

  • Analyze customer data from various sources to derive insights and trends on customer behavior and preferences.
  • Provide data-driven recommendations to improve product offerings and marketing campaigns.
  • Develop dashboards reports and presentations to communicate key insights to leadership

Predictive Modeling

  • Analyze data to derive insights and trends on customer behavior and preferences.
  • Apply statistical techniques to predict customer behavior such as churn lifetime value and cross selling opportunities.
  • Provide data-driven recommendations to improve product offerings and marketing campaigns.
  • Stay abreast of industry trends emerging technologies and data analytics tools. Continuously look for innovative ways to apply data-driven insights to business challenges.


Customer Engagement

  • Evaluate the effectiveness of marketing campaigns and use findings to help optimize future campaigns.
  • Collect and analyze customer feedback from surveys social media and other sources. Use insights to recommend improvements to products and marketing and customer experience.
  • Define track and report on key performance indicators (KPIs) related to customer satisfaction engagement and profitability.


Required Qualifications:

  • Bachelors degree in Business Economics Mathematics Statistics Data Science or a related field required.
  • Minimum of 8 years of hands-on experience in customer analytics or data science within the banking or broader financial services industry with a proven track record of influencing customer engagement retention and product adoption strategies.
  • Extensive experience with data querying and manipulation tools (e.g. SQL Excel Python R SAS) especially in the context of customer segmentation channel performance and lifecycle analytics in regulated environments.
  • Demonstrated expertise in data visualization and business intelligence (e.g. Tableau Power BI Cognos or similar platforms) to deliver actionable insights to business stakeholders.
  • Proficient with cloud-based data platforms and databases (e.g. Snowflake Azure AWS) including integration of banking customer data across structured and unstructured sources
  • Experience with CRM platforms (specifically Salesforce and Hubspot) and customer data platforms (CDPs) to drive personalized customer experiences marketing campaign effectiveness and cross-sell strategies.
  • Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.
  • Strong attention to detail and ability to work with large complex datasets including transactional behavioral and engagement data from multiple banking channels.


Preferred Qualifications

  • A Masters degree or certifications degree or certifications in advanced analytics financial analytics or customer data platforms (e.g. CDP CRM analytics) is preferred.
  • Experience developing or applying machine learning models or AI-driven customer analytics tools (e.g. churn prediction next-best-offer credit risk models) in a banking environment.
  • Familiarity with banking products and services including savings accounts loans mortgages credit cards and digital banking platforms.

Physical Requirements:

The work requires the ability to operate office machines and equipment such as personal computers printers copying machines and telephones. The work requires the ability to communicate clearly with customers coworkers and others in person and on telephones. Work activities involve combinations of sitting/standing for extended periods.


Pay Range

Employment Type

Full-Time

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