Data Analyst 5

<p></p><h3>Overview </h3><ul><li>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. </li><li>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! </li> </ul><h3>Job Details </h3><ul><li>Role: Data Analyst 5 (Contract) </li><li>Location: San Jose, CA 95110 (Hybrid) </li><li>Duration: 2/02/2026 to 6/05/2026 </li><li>Team: Photoshop Prd Mgmt </li> </ul><h3>About The Role </h3><ul><li>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. </li><li>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! </li> </ul><h3>Key Responsibilities </h3><ul><li>Build and maintain dashboards to track product and user health. </li><li>Proactively identify usage trends and communicate relevant insights to assist product decision-making. </li><li>Partner closely with Product Management, Product Marketing, and Growth to drive actionable data requirements. </li><li>Automate and optimize data pipelines using SQL and/or Python-based ETL Frameworks. </li><li>Maintain technical standards and platform documentation (i.e., data dictionary, style guide, ERD). </li><li>Assist in growing the business’ usage of Business Intelligence tools to drive efficiency in reporting. </li><li>Diagnose platform performance gaps and provide recommendations to improve scale. </li> </ul><h3>Required Skills &amp; Qualifications </h3><ul><li>Bachelor\'s degree or equivalent experience in Computer Science, Information Technology, or a related field. </li><li>6-10 years of hands-on experience working with large scale data, developing innovative data solutions in a cloud environment. </li><li>Demonstrated experience incepting and driving projects independently. </li><li>Strong proficiency in Python and SQL. </li><li>Extensive experience with BI platforms (i.e., Power BI, Tableau, Looker). </li><li>Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic). </li><li>Ability to optimize and tune data pipelines for performance and scalability. </li><li>Knowledge of data modeling concepts and database design methodologies. </li><li>Excellent problem-solving skills and attention to detail. </li><li>Strong communication and presentation skills. </li><li>Experience with modern cloud platforms (i.e., Azure, AWS, GCP). </li><li>Experience with Databricks (on Azure or AWS) is a plus. </li><li>Experience with web analytics platforms (i.e., Adobe Analytics, Google Analytics) is a plus. </li> </ul><h3>Compensation </h3><ul><li>$70.43 per hour. </li> </ul> <p></p> #J-18808-Ljbffr