Associate Data Developer

Aptiv • USA Walnut Creek, CA

7d

About The Position

As an Associate Data Developer, you will support Wind River’s enterprise data warehouse and analytics platform, helping deliver data, metrics, dashboards, and actionable business insights across the organization. You will work with business and executive stakeholders to understand requirements and help design data paths from ingestion through modeling and visualization. The role combines data development, analytics, business intelligence, and automation, with a focus on scalable solutions and data engineering and analytics best practices.

Requirements

• Bachelor's degree in Computer Science.
• At least 1 year of experience with Tableau or another modern BI tool.
• At least 1 year of SQL experience.
• At least 1 year of experience with dbt.
• At least 2 years of Python development experience.
• Strong analytical and problem-solving skills, with the ability to take ownership and initiative.
• Ability to work independently and collaborate effectively with cross-functional and global teams.
• Fluent written and verbal communication skills.
• Must meet the applicable authorization and security requirements associated with the position.

Nice To Haves

• Emphasis in Data Engineering in a Computer Science degree program.
• Snowflake SQL experience.
• Semantic layer experience.
• Experience with enterprise systems such as Workday, Oracle Business Suite (OBI/HRIS), Salesforce, Jira, Adaptive, or Anaplan.
• HTML and JavaScript experience related to Looker.

Responsibilities

• Analyze complex data and deliver actionable business insights to cross-functional teams.
• Gather requirements from stakeholders and translate business needs into data and analytics solutions.
• Build dashboards and visualizations using Tableau or other modern BI tools.
• Support data flows from ingestion through transformation, modeling, and visualization.
• Perform data cleaning and modeling when required data is unavailable in the visualization layer.
• Develop and maintain solutions using SQL, Python, and dbt.
• Create tools, processes, and automation that reduce the burden on the data stack and support stakeholder requirements.
• Monitor new analytics initiatives, identify barriers to adoption, and support corrective actions.
• Promote data engineering and analytics best practices and collaborate with junior engineers.

Benefits

• Holiday Pay.
• Learning and development opportunities.
• Discount programs with various manufacturers and retailers.
• Opportunities to join social events, including sport groups and celebrations.
• Recognition for innovation and excellence.
• Opportunities to give back to the community.
• Competitive benefits package supporting family, physical health, and mental health.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level