The RoleAs a Partnerships Analytics & Operations Senior Analyst, you will build the analytics, insights, and operational processes that power Adobe's Partnerships strategy and execution.
You will work on high-impact problems across partner performance, deal effectiveness, and ecosystem dynamics - turning data into clear insights and helping ensure decisions are executed effectively.
This role is hands-on and execution-focused: you will own analyses end-to-end, build tools and dashboards, and help operationalize how the Partnerships organization runs.
What You'll Do1. Build Analytics and Generate Insights (Core Focus)
- Develop dashboards and analyses to track:
- Partner performance
- Deal outcomes
- Ecosystem and competitive trends
- Translate data into clear, actionable insights that inform:
- Partner prioritization
- Investment decisions
- Deal optimization
- Support development of evaluation frameworks for partner and ecosystem decisions
2. Enable Decision-Making Through Structured Analysis
- Break down ambiguous questions into structured analyses and clear outputs
- Identify key drivers, trends, and tradeoffs
- Present insights in a clear, concise, and decision-oriented way
3. Build and Improve Operational Processes
- Support design and execution of processes across:
- Partner planning
- Pipeline tracking
- Deal tracking and reporting
- Help ensure data is accurate, consistent, and usable across teams
- Identify inefficiencies and propose improvements to how the organization operates
4. Support Ecosystem Intelligence and Experimentation
- Track partner and ecosystem developments (product, GTM, competitive moves)
- Contribute to lightweight competitive intelligence efforts
- Support early-stage analyses and pilots to evaluate new partnership opportunities
What You Need to SucceedExperience
- 3-8 years in analytics, strategy, BizOps, consulting, or similar roles
- Strong track record of solving problems using data and structured thinking
- Experience working in cross-functional environments
Analytics & Technical Skills (Critical)
- Strong analytical skills with experience in:
- Data analysis (SQL, Excel, Python, or similar)
- Dashboarding tools (e.g., Tableau, Power BI, etc.)
- Ability to go from raw data 12 insight 12 recommendation
AI proficiency required:
- Comfortable using AI tools (LLMs) to accelerate analysis and workflows
- Familiarity with "vibe coding" / rapid prototyping using AI tools
(e.g., building simple dashboards, scripts, or automations)
Communication
- Ability to clearly communicate insights and recommendations
- Comfortable presenting to stakeholders
- Structured thinking and concise storytelling
Mindset
- Detail-oriented with strong ownership
- Curious and proactive - digs into problems without waiting for direction
- Comfortable operating in ambiguity and evolving priorities
- Focused on impact, not just analysis
Expected Pay Range: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 $110,000 -- $202,250 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 $139,700 - $202,250In New York, the pay range for this position is $139,700 - $202,250In Washington, the pay range for this position is $127,700 - $184,850
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.
