Business Intelligence Analyst

Adobe’s Customer Solutions (ACS) organization is seeking a Business Intelligence Analyst, Advanced Analytics and Reporting. This role involves designing, building, and scaling intelligent analytics solutions to drive actionable insights across the Digital Experience business. The analyst will work hands-on across data engineering, advanced analytics, and AI/ML to deliver trusted reporting, predictive insights, and next-generation intelligence, focusing on improving customer adoption, retention, and value realization.

Must Have

• Own end-to-end development of advanced analytics, dashboards, and data products focused on customer success metrics.
• Translate complex datasets into clear, compelling narratives and actionable recommendations.
• Design, build, and maintain scalable data pipelines integrating large datasets.
• Ensure data quality, consistency, and governance.
• Develop and deploy predictive and prescriptive models.
• Build and operationalize ML- and LLM-powered insight workflows.
• Create executive-ready dashboards and reports using Power BI (and related tools).
• Partner closely with Customer Success, Engineering, Professional Services, Sales Operations, and Product teams.
• Act as a trusted analytics advisor, influencing decisions through data.
• Continuously improve analytics processes, performance, and scalability.
• Bachelor’s or graduate degree in Computer Science, Data Science, Business, or a related field.
• 3+ years of hands-on experience in advanced analytics, data science, business intelligence, or data engineering roles.
• Strong expertise in SQL, Python, Spark, and cloud platforms (Azure, AWS, or GCP).
• Demonstrable experience in building scalable data pipelines, advanced dashboards, and executive-level reporting (Power BI, Tableau, Adobe Workspace).
• Demonstrated track record of developing and deploying ML/AI models in production environments.
• Solid understanding of SaaS business models and Customer Success domains (renewals, adoption, churn, value realization).
• Superb communication skills with the ability to clearly explain complex analysis to senior and non-technical audiences.
• Strong organizational skills with the ability to manage multiple initiatives and deliver outcomes in fast-paced environments.

Perks & Benefits

• Exceptional work environment recognized around the world.
• Surrounded by colleagues committed to helping each other grow through a unique Check-In approach.
• Opportunity to make an impact.
• Meaningful benefits offered.
• Equal Employment Opportunity employer.
• Accommodation for disabilities or special needs.

The Opportunity

Adobe’s Customer Solutions (ACS) organization is looking for an Business Intelligence Analyst, Advanced Analytics and Reporting to design, build, and scale intelligent analytics solutions that drive actionable insights across our Digital Experience business.

In this role, you will work hands-on across data engineering, advanced analytics, and AI/ML to deliver trusted reporting, predictive insights, and next-generation intelligence that improves customer adoption, retention, and value realization. You will operate as an inspiring leader, partnering closely with business and technical customers to turn complex data into clear, decision-ready insights.

What You’ll Do

Advanced Analytics & Insights

• Own end-to-end development of advanced analytics, dashboards, and data products focused on customer success metrics such as renewals, adoption, churn risk, NDR, and value realization.
• Translate complex datasets into clear, compelling narratives and actionable recommendations for senior leaders and partners across multiple functions.

Data Engineering & Architecture

• Design, build, and maintain scalable data pipelines integrating large datasets across subscription, services, usage, and customer health domains.
• Ensure data quality, consistency, and governance to support reliable, enterprise-grade analytics and reporting.

AI / ML Engineering

• Develop and deploy predictive and prescriptive models to surface churn risk, expansion signals, and consumption health.
• Build and operationalize ML- and LLM-powered insight workflows and agents that automate analysis and enable next-best-action recommendations.

Visualization & Storytelling

• Create executive-ready dashboards and reports using Power BI (and related tools), optimized for clarity, performance, and decision-making.
• Embed advanced metrics, forecasting, and insights generated by machine learning directly into analytics experiences.

Collaboration Within Multi-Functional Teams

• Partner closely with Customer Success, Engineering, Professional Services, Sales Operations, and Product teams to align analytics solutions with business priorities.
• Act as a trusted analytics advisor, influencing decisions through data rather than formal authority.

Operational Excellence

• Continuously improve analytics processes, performance, and scalability.
• Contribute to standards, procedures, and reusable frameworks across the analytics ecosystem.

What You’ll Need to Succeed

• Bachelor’s or graduate degree in Computer Science, Data Science, Business, or a related field.
• 3+ years of hands-on experience in advanced analytics, data science, business intelligence, or data engineering roles.
• Strong expertise in SQL, Python, Spark, and cloud platforms (Azure, AWS, or GCP).
• Demonstrable experience in building scalable data pipelines, advanced dashboards, and executive-level reporting (Power BI, Tableau, Adobe Workspace).
• Demonstrated track record of developing and deploying ML/AI models in production environments.
• Solid understanding of SaaS business models and Customer Success domains (renewals, adoption, churn, value realization).
• Superb communication skills with the ability to clearly explain complex analysis to senior and non-technical audiences.

Strong organizational skills with the ability to manage multiple initiatives and deliver outcomes in fast-paced environments.

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 $109,000 -- $200,700 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 $138,600 - $200,700 In New York, the pay range for this position is $138,600 - $200,700

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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