Elaine Lu

Senior Data Analyst at Pleo
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Contact Information
us****@****om
(386) 825-5501
Location
Berlin, Berlin, Germany, DE
Languages
  • Chinese Native or bilingual proficiency
  • English Full professional proficiency
  • German Limited working proficiency

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Bio

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Experience

    • Denmark
    • Financial Services
    • 700 & Above Employee
    • Senior Data Analyst
      • May 2023 - Present

    • Data Analyst
      • Feb 2022 - Present

      Pleo is a B2B SaaS company that offers a spending solution. I work as a CX Data Analyst to support and craft customer experience strategies with CX teams.- Own and maintain success SaaS metrics, i.e., churn rate, retention rate, MRR, NRR (both GARR/LARR).- Create customer health score, churn prediction model to reduce customer churn, boost customer engagement.- Work with product teams in improving Pleo's product from a customer experience perspective, advising them using existing trends/patterns and connecting those to customer touch points- Work with business stakeholders for measuring our overall business performance, advising on the strategic roadmap. Show less

    • Germany
    • Retail
    • 700 & Above Employee
    • Data Scientist/Data Analyst
      • Oct 2019 - Feb 2022

      I work in the Consumer insights & Segmentation team and have a strong customer-oriented mindset. Since October 2020, I took over a role to initiate analytic framework for our customer care team (previously Excel based). Skills are across building ETL pipelines, exploratory and statistical data analysis and machine learning modelling - Set up all the data groundwork for the customer care team to be more data-driven. • Work closely with data engineers to build data pipelines (Exasol) and establish reporting landscapes (Tableau). • Create and maintain customer service KPIs to track performance and promote impact. • enable end-users to use more data and to make data-driven decisions. - Conduct data analysis and hypothesis testing to facilitate data driven decisions. • Analysis on customer behaviors, e.g., customers' first 30 days, voucher usage analysis, etc. • Develop predictive machine learning models such as lead scoring model (regression/classification), customer contact forecast (time-series). • Generate insights, answer business-related question, present and communicate to stakeholders in a clear and actionable way. - Migrate team's manual-scheduled ETL pipline to Airflow. • Build dependencies between tables and ensure the successful automation. Show less

    • Germany
    • Software Development
    • 700 & Above Employee
    • Data Analyst (Working Student)
      • Oct 2017 - Jun 2019

      • Analyzed SAP tools' usage data & testing data in SAP HANA and SAP Analytics Cloud to support the internal development process: - Used SQL and graphical editor to create calculation views in SAP HANA Studio - Created and maintained dimensional models and analytical dashboard reports in SAP Analytics Cloud according to various departments’ data needs • Liaised with collaborators from other departments to discuss further analytics on the dashboard, incl. presenting dashboards in relative department's regular meeting • User management in SAP HANA Studio and SAP Analytics Cloud - Analyzed and resolved customer inquiries and problem messages - Created knowledge base documentation for users to access SAP HANA Studio and SAP Analytics Cloud Show less

    • Taiwan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Student Internship
      • Jan 2016 - Feb 2016

      • BI developer in MIS department • Designed customized functions such as new query conditions by JAVA, SQL and HTML according to the customers’ need for CRM system. • Fixed bugs and updated data to ERP and CRM systems while obtaining deep knowledge of Genesis’s services and products. • BI developer in MIS department • Designed customized functions such as new query conditions by JAVA, SQL and HTML according to the customers’ need for CRM system. • Fixed bugs and updated data to ERP and CRM systems while obtaining deep knowledge of Genesis’s services and products.

Education

  • University of Mannheim
    Master of Science - MS, business informatics
    2016 - 2019
  • Fachhochschule Dortmund
    Bachelor of Business Administration - BBA, International Business
    2014 - 2015
  • National Changhua University of Education
    Bachelor's degree, Management Information Systems, General
    2012 - 2016

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