Customer Insights Manager Resume
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Charles Bloomberg
Austin, USA
charlesbloomberg@gmail.com
(621) 799-5548
in/cbloomberg
PROFESSIONAL SUMMARY
Experienced Customer Insights Manager with a proven track record in utilizing data analytics and market research to drive business growth and improve customer satisfaction.
PROFESSIONAL Experience
Customer Insights Manager | Company A
January 2021 — Present, Seattle, USA
• Led a team of 10 analysts to develop customer insight reports, resulting in a 15% increase in customer satisfaction by leveraging SQL and Python.
• Designed and implemented customer segmentation strategies that boosted targeted marketing efficiency by 25%, enhancing ROI through advanced data analytics tools like Tableau.
• Conducted over 50 focus groups and surveys annually to gather qualitative data, improving product offerings based on direct customer feedback.
• Managed and optimized large-scale CRM data using Salesforce, leading to a 20% increase in retargeting campaign effectiveness.
• Collaborated with cross-functional teams to integrate customer insights into business strategies, contributing to a 10% growth in overall sales.
• Designed and implemented customer segmentation strategies that boosted targeted marketing efficiency by 25%, enhancing ROI through advanced data analytics tools like Tableau.
• Conducted over 50 focus groups and surveys annually to gather qualitative data, improving product offerings based on direct customer feedback.
• Managed and optimized large-scale CRM data using Salesforce, leading to a 20% increase in retargeting campaign effectiveness.
• Collaborated with cross-functional teams to integrate customer insights into business strategies, contributing to a 10% growth in overall sales.
Senior Market Research Analyst | Company B
July 2017 — December 2020, Redmond, USA
• Conducted thorough market research and compiled data-driven reports that informed marketing strategies, resulting in a 12% increase in lead generation.
• Utilized advanced statistical tools such as R and SPSS to analyze data trends, providing actionable insights that reduced churn rate by 8%.
• Developed and launched a customer satisfaction survey program that gathered responses from over 10,000 customers, significantly improving product support services.
• Presented findings to executive leadership on a monthly basis, informing decision-making processes and budget allocations for product development.
• Utilized advanced statistical tools such as R and SPSS to analyze data trends, providing actionable insights that reduced churn rate by 8%.
• Developed and launched a customer satisfaction survey program that gathered responses from over 10,000 customers, significantly improving product support services.
• Presented findings to executive leadership on a monthly basis, informing decision-making processes and budget allocations for product development.
Market Research Analyst | Company C
March 2015 — June 2017, Chicago, USA
• Analyzed market data using tools like Excel and SAS, providing recommendations that led to a 5% increase in market share.
• Designed and distributed quantitative surveys reaching over 5,000 participants, gaining key metrics to guide business strategy.
• Produced detailed competitive analysis reports that identified industry trends and opportunities, enhancing strategic planning.
• Designed and distributed quantitative surveys reaching over 5,000 participants, gaining key metrics to guide business strategy.
• Produced detailed competitive analysis reports that identified industry trends and opportunities, enhancing strategic planning.
Data Analyst | Company D
June 2012 — February 2015, New York, USA
• Managed datasets comprising over 100,000 records with accuracy, utilizing SQL databases and maintaining data integrity.
• Assisted in developing predictive models using machine learning algorithms in Python, improving forecasting accuracy by 15%.
• Ensured high data quality through meticulous data cleaning and validation processes, enhancing reliability of insights presented to stakeholders.
• Assisted in developing predictive models using machine learning algorithms in Python, improving forecasting accuracy by 15%.
• Ensured high data quality through meticulous data cleaning and validation processes, enhancing reliability of insights presented to stakeholders.
Education
Bachelor of Science in Marketing | University of Illinois at Urbana-Champaign
May 2012
Expert-Level Skills
Data Analysis, Market Research, SQL, Python, R, Tableau, SPSS, Salesforce, Quantitative Surveys, Customer Segmentation, CRM, Focus Groups, Predictive Modeling, Machine Learning, Stakeholder Presentation, Cross-functional Collaboration, Strategic Planning, Problem-solving, Communication