Sr. Advanced Analytics and Reporting Analyst

Adobe • Washington, DC

1d

About The Position

Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Job Description Adobe is hiring a Data Informatics Analyst / Data Science Engineer to join our Solution Utilization Management and Data & Analytics efforts. This role will architect and operationalize enterprise-scale data solutions that power consumption analytics, entitlement mapping, compensation models, and machine learning initiatives. You will design data pipelines for DBX ingestion, build calculation tables and feature stores for algorithms, author Splunk queries for operational telemetry, and lead cross-functional programs that drive strategic decisions across the company. Success in this role requires strong technical depth, hands-on engineering experience, and the ability to translate complex data into actionable business outcomes.

Requirements

• Core data engineering skills: Expert SQL and Python; hands-on experience with Spark, Databricks/Delta Lake, and robust ETL/ELT design.
• Machine learning and analytics: Feature engineering, building calculation/feature tables, model prototyping, and familiarity with MLOps for productization.
• BI and observability: Deep experience with Power BI back-end connections and semantic models; Splunk query and dashboard development; strong data visualization.
• Integration and automation: Orchestration and CI/CD for data pipelines (Airflow, Databricks Jobs, or similar), API integrations, and scalable automation.
• Leadership and communication: Proven ability to lead cross-functional, enterprise-scale projects; translate technical results into clear, actionable recommendations for product, finance, and business leaders.
• Experience and education: 4+ years in data engineering, data science, analytics engineering, or related roles; Bachelor’s in Computer Science, Data Science, Statistics, or equivalent (MS preferred).

Nice To Haves

• Advanced degree (MS in Analytics, Statistics, Computer Science, Applied Economics) or equivalent.
• Domain experience in B2B software sales analytics, consumption-based pricing, or compensation modeling.
• Familiarity with dbt, MLflow, Spark SQL optimizations, and cloud data platforms (Azure, AWS, or GCP).
• Experience with large-scale entitlement/licensing systems and reconciliation processes.

Responsibilities

• Architect and optimize data pipelines for DBX ingestion, ETL/ELT workflows, and complex ATS queries to enable reliable, scalable analytics.
• Build calculation tables and feature stores that power algorithms, machine learning models, and compensation/consumption calculations.
• Author SQL queries and back-end BI connections, maintain Power BI semantic models, and deliver high-performance dashboards and reports.
• Drive AI readiness and ML productization, including feature engineering, model prototyping, deployment, and monitoring.
• Lead major cross-functional programs (e.g., Consumption Gaps, SOT, Minerva), coordinating engineering, product, finance, and business stakeholders.
• Deliver enterprise-scale analytics and actionable insights, translate results into prioritized recommendations, and communicate findings to product, service, and business leaders.

What This Job Offers

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