Sr. Advanced Analytics and Reporting Analyst

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.

What you'll do

• 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 you need to succeed

• 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).

Preferred qualifications

• 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.

Why this role matters

This role sits at the intersection of data engineering, analytics, and product strategy. You will enable data-driven decisions that directly impact revenue recognition, compensation fairness, product roadmap prioritization, and operational efficiency across Adobe. If you enjoy building robust data foundations, shipping scalable analytics, and influencing cross-functional strategy, this role offers high visibility and measurable impact.

Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $112,400 -- $226,550 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

In California, the pay range for this position is $156,500 - $226,550

In New York, the pay range for this position is $156,500 - $226,550

In Washington, the pay range for this position is $143,500 - $207,700

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices

California

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts

Massachusetts Legal Notice

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more.

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