Netflix

Data Analyst, Customer Service

Netflix

full-time

Posted on:

Location Type: Office

Location: Mexico CityMexico

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About the role

  • Responsible for the creation and maintenance of Global Customer Service dashboards and reports for both internal stakeholders and vendor partners within various BI tools such as Tableau
  • Partner with the Netflix Data Visualization team to migrate ad hoc Tableau dashboards into Netflix's custom data visualization tools
  • Extract, manipulate, and analyze large datasets from various sources to identify patterns, trends, and anomalies in customer service data
  • Provide tier-one support to vendor partners data consumers.
  • Collaborate with Data engineering teams to ensure timely resolution of data integrity issues
  • Educate and train users on how to most effectively utilize and interpret reports and data
  • Create and maintain up-to-date documentation, including data dictionaries, report definitions, and best practices
  • Partner closely with multiple cross-functional teams to understand reporting requirements, business processes, and KPIs
  • Prepare and deliver periodic exec-level updates on status, insights, and trends to help inform and guide critical business decisions
  • Develop and implement comprehensive and consistent strategies, tools, and processes related to dashboard maintenance and reporting support

Requirements

  • Bachelor’s degree in Math, Statistics, Business, Information Technology, or other demonstrated experience in a quantitative field or equivalent work experience accepted
  • 5+ years of data analysis, reporting, and business intelligence, preferably in a customer service or related operational context
  • Proficiency in data manipulation and analysis using data visualization tools like Tableau, Power BI, or similar.
  • Demonstrated experience in designing and generating complex reports, dashboards, and visualizations that provide actionable insights to drive operational improvements
  • Experience working with large datasets and performing data cleansing, transformation, and validation to ensure data accuracy and integrity.
  • Use Python and PySpark for large-scale data wrangling, cleaning, and transformation.
  • Project/program management, process development, influencing, modeling, and consulting skills
  • Communication, partnership, and interpersonal skills – ability to communicate complex concepts in simple terms, keeping diverse audiences in mind to drive results.
Benefits
  • Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.
  • We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisreportingbusiness intelligencedata manipulationdata visualizationdata cleansingdata transformationPythonPySparkdashboard design
Soft skills
project managementprocess developmentinfluencingmodelingconsultingcommunicationpartnershipinterpersonal skills