Senior Analytics Engineer

Company: Velocity Global
Location: Palo Alto
Posted on: February 4, 2025

Job Description:

Velocity Global offers the most unified, tech-enabled, and customer service-driven global workforce management, ensuring smooth, reliable operations across countries, roles, and workforce types so businesses can navigate complexity with confidence, deliver strong results, and stay ahead. We help you expand your business into new markets without the complexity of setting up entities. We hire, pay, and manage your workforce across 185+ countries with our AI-powered global Workforce Technology platform.We are looking for a Sr. Analytics Engineer to join our dynamic BI team. You will use your expertise in data analytics, data modeling, transformation, and reporting to deliver scalable, reliable, and insightful data solutions. You will shape our analytics infrastructure, guide data-driven decision-making, and ensure that teams across the organization have access to accurate data. This position is ideal for someone who loves transforming raw data into actionable insights and building reporting solutions that empower teams and meet the needs of multiple partners.This role is a hybrid model from our Palo Alto, CA office.You Will:

• Investigate system data issues and perform data cleanup across multiple data sources.
• Develop automation solutions for data manipulation tasks, improving efficiency and accuracy.
• Collaborate with teams to meet data requirements for different departments.
• Gain expert-level knowledge of our data systems, ensuring data quality and integrity.
• Create ETL processes from different data sources, analyzing data completeness and accuracy.
• Work with the Business Intelligence team to provide clean datasets and support data-intensive applications.
• Design and implement machine learning model test and deployment strategies.
• Contribute to the implementation of engineering best practices, including unit tests and integration tests in a CI/CD environment.
• Help develop data-intensive web applications within a microservices architecture.You Have:
  • 5+ years of experience in an analytics engineering, data engineering, or similar role.
  • 3+ years hands-on experience with dbt for data transformation.
  • Proficiency in SQL and with building reports and dashboards using Looker, Tableau, or Power BI.
  • An understanding of data modeling concepts and best practices for building scalable reporting solutions.
  • Experience collaborating with teams to create data solutions that meet our needs.
  • Familiarity with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and modern data stack (Fivetran, Atlan, Airflow, and Monte Carlo).
  • Experience communicating updates and resolutions to customers and other partners and experience turning complex data into easy-to-understand insights.Our job titles may span more than one career level. The base pay depends upon many factors, such as training, transferable skills, work experience, business needs, and market demands. The base pay range is subject to change and may be modified.Annualized Pay Range: $145,000 - $173,000 USDWe are dedicated to fostering diversity and inclusion across our organization, embracing the rich tapestry of cultures, backgrounds, and perspectives that our global team brings together in offices around the world. Velocity Global is an Equal Opportunity Employer committed to empowering individuals from all walks of life to achieve their professional goals with us, regardless of race, religion, gender, gender identity, pregnancy, disability, sexual orientation, age, national origin, citizenship status, or genetic information. We actively seek and encourage applications from diverse candidates, including those with disabilities, and offer accommodations throughout the selection process upon request.Velocity Global offers a range of benefits tailored to the location and type of role. A general benefits overview is below:
    • Health and Dental Insurance
    • Retirement Savings + Employee Incentive Plan
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Keywords: Velocity Global, Cupertino , Senior Analytics Engineer, Engineering , Palo Alto, California