Senior Analytics Engineer - Customer Engineering

September 16

Apply Now

Receive Emails with Similar Jobs

Adobe

WebsiteLinkedInAll Job Openings

Software • Creative Cloud • Digital Marketing • Web Experience Management • Digital Media

10,000+

💰 Venture Round on 1984-09

Description

• Create and maintain complex data models and queries to support cross-AEP analytics, dashboards, and self-serve tools. • Collaborate with partners to understand business requirements and translate them into data insights reporting & analytics solutions. • Establish data modeling standards and patterns; ensure these models accurately measure metrics, and supporting details. • Build and maintain data pipelines and infrastructure for efficient data processing and analysis. • Collaborate with partners to understand business requirements and translate them into technical solutions; enable and support partners to access and analyze data effectively. • Optimize data processing and storage solutions for performance and cost efficiency. • Develop automated processes for data validation, cleaning, and transformation. • Implement data governance and quality standards; document for data models, code, and standards. • Serve as a domain expert on data models and address questions quickly and accurately. • Approve data model changes as a reviewer and code owner for specific database schemas. • Integrate AI/ML models into data warehousing and analytics workflows. • Advocate for data quality programs and trusted data initiatives. • Lead major strategic data projects spanning six (6) months or more. • Lead, guide, and mentor junior team members to grow their skills and impact.

Requirements

• 5-7+ years’ experience in analytics engineering or related data engineering roles. • Expert proficiency in SQL and data modeling. • Proficiency in statistical programming languages like Python or R. • Experience with data warehousing technologies and cloud platforms (e.g., AWS, Azure). • Expertise in analytics and data engineering concepts, tools, and technologies. • Proficiency in data transformation tools like dbt (data build tool). • Experience with data orchestration platforms (e.g., Airflow, Glue). • Knowledge of dimensional modeling and star/snowflake schemas. • Understanding of business processes, preferably in healthcare or related industries. • Experience managing or mentoring junior team members. • Good interpersonal skills for communicating data insights to partners. • Experience with data visualization tools like Tableau, Power BI. • Knowledge of data governance and quality standards. • Familiarity with AI/ML concepts and their application in analytics.