Data Analyst/Engineer

POSITION: Data Analyst/Engineer

Who We Are:

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

What You Will Do:

• Perform root cause analysis on processes and data to identify opportunities for improvement and answer questions
• Build processes that support data transformation, workload management, data structures, dependency and metadata
• Perform data validation checks, identify and rectifying errors, and maintaining a quality standard throughout the data's lifecycle.
• Explore datasets to identify trends, patterns, and insights.
• Perform analysis for stakeholders and other non-technical professionals. Build models to generate actionable insights for making efficient business decisions. ‍
• Build data pipelines that clean, transform, and aggregate data from disparate sources
• Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
• Streamline data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models
• SQL proficient (Snowflake), Tableau, Able to do prompt engineering
• DL (data lakes), ingest the data and transform
• be able to deal with large volumes of data
• ML classification, anomalies, annotation, prediction

What You Will Bring:

• Create and improve data visualization tools like Tableau & ThoughtSpot
• Work with Snowflake & it’s built in infrastructure, SQL, Python, Excel, & Numbers
• Experience presentation/project management Tools like Quip, Keynote, Miro, Slack
• Experience and understanding of machine learning tools like datarobot
• Project Management experience
• to provide support to a wide variety of business teams
• Good Interpersonal, relationship building, communication and presentation skills

Pay Range: $105,000 - $110,000 per year

Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.

Work Requirements: This role is considered an on-site position located in Sunnyvale, CA.

• You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.
• Shop floor environment, which may include but not limited to extensive walking, and ability to lift up to 40 lbs.

Travel Requirements: Due to the nature of the work, no travel is required.

Benefits:

• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance
• Employer paid Life Insurance, Short- & Long-Term Disability

• Create and improve data visualization tools like Tableau & ThoughtSpot
• Work with Snowflake & it’s built in infrastructure, SQL, Python, Excel, & Numbers
• Experience presentation/project management Tools like Quip, Keynote, Miro, Slack
• Experience and understanding of machine learning tools

As applicable