Advanced Analytics & Reporting Analyst 3
Advanced Analytics & Reporting Analyst 3
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Job Description
Our Company
Changing the world through digital experiences is what Adobes all about. We give everyonefrom emerging artists to global brandseverything they need to design and deliver exceptional digital experiences! Were passionate about empowering people to create beautiful and powerful images videos and apps and transform how companies interact with customers across every screen.
Were 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!
Senior Analyst Enterprise Sales Analytics (IC)
Location: Onsite/Hybrid 3 days per week in office at NOIDA
Team: Sales Operations & Enablement
- Employment: Fulltime
Change how we sell forecast and retainusing firstprinciples analytics.
Were scaling the analytics backbone that powers a global SaaS business. As a Senior Analyst (IC) youll turn messy gotomarket data into clear decisiondriving insightsimproving forecast accuracy accelerating pipeline velocity and reducing churn. Youll collaborate with BI Sales Finance Marketing and Product to move the metrics that matter.
What youll do (outcomes over activities)
Own the revenue intelligence foundation
- Model the system: Build clean reusable datasets and semantic layers across CRM customer and product signals. Define metric logic (pipeline coverage conversion forecast error churn risk) with clear durable definitions.
- Quantify risk and upside: Apply statistical methods and ML where they add signaltimeseries for forecasting classification/uplift for deal and renewal prioritization survival analysis for churn.
- Automate the feedback loop: Productionize data quality checks anomaly detection and alerting so insights flow into weekly operating rhythms without manual chase.
Turn analysis into operating decisions
- Forecast with precision: Diagnose variance and bias and propose specific changes to rollups cadence and judgment overlays that improve commit reliability.
- Fix funnel friction: Identify stagetostage dropoffs recommend process changes (enablement handoffs definitions) and quantify impact via pre/post or controlled tests.
- Craft compelling narratives and visuals suitable for executives ensuring clarity and ease of reuse during QBRs.
Influence without authority
- Partner across the aisle: Work with Sales leaders Finance and Marketing to land metric contracts and action owners.
- Improve: Mentor peers on analytical structure code hygiene and communication craft; contribute templates queries and documentation others can build on.
What you bring
Foundational skills (the musthaves)
- Data engineering: Strong SQL; experience crafting schemas for analytics (slowly changing dimensions surrogate keys latearriving facts) building reliable pipelines/orchestration and versioncontrolling code and data definitions.
- Statistics: Comfort with inference and experimentation (A/B diffindiff power) regression/timeseries uncertainty communication and translating assumptions into business guardrails.
- Machine learning (pragmatic): Handson with supervised learning for classification/regression and survival/retention modelling; ability to choose simple explainable models when they outperform complexity.
- Business and communication: You map models to money (quota coverage conversion churn) and package insights into crisp executiveready narratives.
Experience
- 58 years in SaaS Sales/Revenue Operations analytics; proven impact through measurable results.
- Proven track record operating across modern data stacks (warehouse transformation notebooks BI)specific tools are less important than the architectural thinking and craft you bring.
- Education: or Advanced degree in Math CS or Statistics MBA or equivalent experience from a reputable institution.
Nice to have
- Experiment development in go-to-market settings (policy changes enablement tests pricing/packaging experiments).
- Exposure to MLOps concepts (feature hygiene drift checks monitoring) and documentation culture (readmes metric contracts data dictionaries).
How well measure success (Year 1 targets)
- Increase sales manager quota attainment by 30% through enhanced forecasting models.
- Reduce pipeline leakage by 20% via AI-powered deal prioritization.
- Cut customer churn by 15% through predictive retention analytics.
Adobe is proud to be anEqual Employment Opportunityemployer. 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.
Adobe 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 emailor call .
Required Experience:
IC
Employment Type
Full-Time
