Data Analyst 5

Cypress HCM; San Jose (CA); Hybrid; USD 97,024; Full time

Job summary

A leading tech company based in San Jose is seeking a Senior Business Intelligence Engineer to join their Data Science Team. This role focuses on creating scalable data solutions, dashboards, and optimizing data pipelines to enhance product decision-making. Candidates should have substantial experience in data infrastructure, project management, and a strong command of tools like Python and SQL. This position offers competitive compensation of $70.43 per hour and a hybrid work environment.

Qualifications

• 6-10 years of hands-on experience working with large scale data.
• Experience with cloud environments.
• Demonstrated ability to drive projects independently.

Responsibilities

• Build and maintain dashboards to track product and user health.
• Identify usage trends and communicate relevant insights.
• Automate and optimize data pipelines using SQL and Python.

Skills

Python

SQL

Business Intelligence platforms

Data warehousing

Data modeling concepts

Problem-solving skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Power BI

Tableau

Looker

Airflow

MuleSoft

SnapLogic

Databricks

Job description

Overview

• The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a Senior Business Intelligence Engineer who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light. Working alongside a robust team of Data Scientists and Data Engineers, you will build a data architecture that supports accurate and efficient decision making. Stitching a large volume of data together across multiple sources, you will develop and implement scalable data pipelines, and self-service dashboards that highlight actionable insights.
• The ideal candidate for this role will have strong data infrastructure and data architecture skills, proven success working with large datasets across multiple business units, solid project management skills, and a vision for driving BI services in a fluid environment. If you are looking to impact the creative software of the future through data, join our team!

Job Details

• Role: Data Analyst 5 (Contract)
• Location: San Jose, CA 95110 (Hybrid)
• Duration: 2/02/2026 to 6/05/2026
• Team: Photoshop Prd Mgmt

About The Role

• The Digital Imaging (Photoshop and Lightroom) Data Science Team is looking for a Senior Business Intelligence Engineer who is passionate about data and driving the direction of products that allow millions of people bring their creativity to light. Working alongside a robust team of Data Scientists and Data Engineers, you will build a data architecture that supports accurate and efficient decision making. Stitching a large volume of data together across multiple sources, you will develop and implement scalable data pipelines, and self-service dashboards that highlight actionable insights.
• The ideal candidate for this role will have strong data infrastructure and data architecture skills, proven success working with large datasets across multiple business units, solid project management skills, and a vision for driving BI services in a fluid environment. If you are looking to impact the creative software of the future through data, join our team!

Key Responsibilities

• Build and maintain dashboards to track product and user health.
• Proactively identify usage trends and communicate relevant insights to assist product decision-making.
• Partner closely with Product Management, Product Marketing, and Growth to drive actionable data requirements.
• Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks.
• Maintain technical standards and platform documentation (i.e., data dictionary, style guide, ERD).
• Assist in growing the business’ usage of Business Intelligence tools to drive efficiency in reporting.
• Diagnose platform performance gaps and provide recommendations to improve scale.

Required Skills & Qualifications

• Bachelor\'s degree or equivalent experience in Computer Science, Information Technology, or a related field.
• 6-10 years of hands-on experience working with large scale data, developing innovative data solutions in a cloud environment.
• Demonstrated experience incepting and driving projects independently.
• Strong proficiency in Python and SQL.
• Extensive experience with BI platforms (i.e., Power BI, Tableau, Looker).
• Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic).
• Ability to optimize and tune data pipelines for performance and scalability.
• Knowledge of data modeling concepts and database design methodologies.
• Excellent problem-solving skills and attention to detail.
• Strong communication and presentation skills.
• Experience with modern cloud platforms (i.e., Azure, AWS, GCP).
• Experience with Databricks (on Azure or AWS) is a plus.
• Experience with web analytics platforms (i.e., Adobe Analytics, Google Analytics) is a plus.

Compensation

• $70.43 per hour.