Partnerships Analytics & Operations Senior Analyst

Partnerships Analytics & Operations Senior Analyst

As 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.

1. 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

Experience

• 3–8 years in analytics, strategy, Biz Ops, 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 → insight → 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

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