Data Analyst

About the role

We are looking to hire a Data Analyst for our Consumer Protection Team to transform operational analytics for the consumer protection team and analyze customer and internal data, improving both what our products deliver and how they are delivered. Drive efficiency of the CP organization and enhance effectiveness and reliability of CP products through scalable data pipelines, AI-powered insights, and real-time monitoring.

Responsibilities

• Design comprehensive data metrics from telemetry and user data for threat analysis and UX optimization.
• Drive and optimize data insights and solutions leveraging AI/ML.
• Design solutions to combine data sources, external and internal, to drive enhanced consumer experience.
• Develop scalable ETL pipelines processing large-volume telemetry across heterogeneous systems.
• Build real-time dashboards for monitoring product health and operational issues, while ensuring data quality and integrity.
• Ensure seamless AI integration across a polyglot codebase (Android, iOS, macOS, Windows).

Requirements

• 5+ years of Data Analysis experience and 1+ year of hands-on AI/ML experience.
• Experience with Spark, Kafka, ETL pipelines, and data warehouse like Databricks.
• Experience with databases: SQL and NoSQL (PostgreSQL, MongoDB, Redis).
• Knowledge of cloud platforms: AWS, Azure, or GCP with a focus on AI/ML services.
• Experience in API development (REST, GraphQL) and real-time systems.
• Cybersecurity platform knowledge and MCP implementation experience.
• Critical thinking skills to evaluate trade-offs, solve complex data problems.

Qualifications

• Experience with Python, R, or similar programming languages.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience with cloud-based data storage and management services.
• Experience with agile methodologies and software development practices.

Skills

• Data analysis and interpretation.
• AI/ML modeling and implementation.
• Data pipeline design and management.
• Data visualization and reporting.
• Cloud computing and infrastructure.
• API development and integration.
• Problem-solving and critical thinking.

Benefits

• Bonus Program
• 401k Retirement
• Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
• Paid Parental Leave
• Social Programs
• Flexible Work Hours
• Family-Friendly Benefits
• 14 Paid Company Holidays
• Unlimited Paid Time Off for Exempt Employees
• 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees

Pay

The anticipated compensation for this position is USD $93,370.00/Yr. - USD $153,400.00/Yr. depending on experience and qualifications.