Description
As a Data Analytics Engineer at Meta Reality Labs' Customer Experience (CX) team, you'll be part of a global team that unlocks the power of customer feedback and insights to drive business improvements. Your background and experience in analytics will help us better understand our customers' needs, preferences, and behaviors, enabling us to deliver exceptional customer experiences. You'll also contribute to the development of data governance policies, data quality standards, and data visualization best practices, ensuring that our data assets are accurate, reliable, and actionable. We’re looking for a Data Analytics Engineer with demonstrated technical skills and functional understanding and background in customer experience insights with the focus on customer support and operations. This role will partner with various functions across the end-to-end customer journey to build and scale data and advanced analytics solutions to enhance customer satisfaction and build brand loyalty, while identifying opportunities to improve data foundations and analytics maturity. By analyzing complex data sets and identifying trends, patterns, and correlations, you'll help shape the future of our products and services. To be successful in this role, you'll have a passion for data, experience managing multiple projects concurrently, and enjoy a fast-moving organization. You’ll identify ways to tell a compelling story with data and design principles. You will thrive within cross-functional teams, excel at building and managing relationships with internal partners and stakeholders, and exhibit proven organizational and presentation skills.
Data Analytics Engineer Responsibilities
- Design, develop, integrate, launch and maintain collections of data models, queries, reports and visualizations that support multiple use cases across customer journeys
- Work with various data sources, including customer interactions, feedback, and behavioral data, to identify trends, patterns, and provide actionable insights
- Build and deploy predictive models to forecast customer behavior, identify potential issues, and optimize support processes
- Create interactive and dynamic data visualizations that communicate complex insights to stakeholders
- Work closely with customer service and operations, product, and engineering teams to integrate data insights into business decisions and drive customer experience improvements
- Develop and track key performance indicators to measure the effectiveness of customer experience initiatives
- Continuously update knowledge of advanced analytics techniques, tools, and methodologies to ensure best practices are applied
Minimum Qualifications
- Master's degree in Computer Science, Statistics, Mathematics, or related field
- 5+ years of experience in data analytics, Business intelligence, data science, or related fields
- Background and knowledge of CX and VoC space
- Proficiency in programming languages such as Python, R, or SQL
- Experience with machine learning concepts and experience working with machine learning libraries and frameworks (e.g. scikit-learn, TensorFlow)
- Experience creating interactive dashboards with Tableau, Power BI, and others, with proven communication and presentation skills to deliver actionable insights
- Experience managing time-sensitive projects through to completion while balancing evolving priorities and a diverse range of stakeholders
- Experience working with operations functions
Preferred Qualifications
- Knowledge of natural language processing (NLP) techniques
- Familiarity with customer support software (e.g., Salesforce)
- Certification in data science or related field (e.g., Certified Data Scientist)
- Familiarity with agile development methodologies and version control systems such as Git.
- Familiarity with agile development methodologies and version control systems such as Git
- Experience working in the high-volume consumer electronics industry
- Experience working with operations functions, preferably in the customer experience or customer support operations space
For those who live in or expect to work from California if hired for this position, please click here for additional information.
Locations
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$124,000/year to $176,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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