Business Intelligence Analyst
Listed on 2026-01-12
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
The Opportunity
Business Intelligence Analyst, Advanced Analytics and Reporting – Adobe’s Customer Solutions (ACS) organization is looking for a dedicated analyst to design, build, and scale intelligent analytics solutions that drive actionable insights across our Digital Experience business.
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.
- 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.
- 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.
- 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.
- 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.
- Continuously improve analytics processes, performance, and scalability.
- Contribute to standards, procedures, and reusable frameworks across the analytics ecosystem.
- 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 building scalable data pipelines, advanced dashboards, and executive‑level reporting (Power BI, Tableau, Adobe Workspace).
- 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.
U.S. pay range for this position: $109,000 – $200,700 annually (varies by work location and experience). In California and New York the pay range is $138,600 – $200,700.
State‑Specific NoticesCalifornia:
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
If this role is open to hiring in Colorado, the application window will remain open until at least the stated open date in Pacific Time.
Massachusetts:
It is unlawful in Massachusetts to require or administer a lie‑detector test as a condition of employment or continued employment.
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.
AccessibilityAdobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call (408) 536‑3015.
Seniority LevelMid‑Senior level
Employment TypeFull‑time
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