Need : Job Title || B2B Sales Enablement & Revenue Operations (RevOps) Analyst || Malvern, PA , Hybrid

[Mohd Dilshad Alam]

Only H1B with PP number

Title: B2B Sales Enablement & Revenue Operations (RevOps) Analyst

Location : Malvern, PA 

Duration: Contract

Job Description;

Platform Expertise: Prior experience extracting data from Adobe Experience/Marketing Cloud and feeding targeted intelligence/signals into Microsoft Dynamics CRM is highly preferred.

AI Native (Good to have): Prior exposure to utilizing Large Language Models (specifically Anthropic’s Claude) to summarize unstructured text, categorize customer intent, or write backend prompts for CRM automation.

 

SKILL CATEGORY

HIRING MANAGER EXPECTATIONS

Years of Experience

Proficiency

B2B Sales & Marketing Ops

Next-Best-Action & Lead Enablement: Experience turning marketing web activity, email engagements, or third-party intent data (e.g., Bombora) into structured, prioritized sales workflows.

 

 

Sales CRM Platform Alignment

Microsoft Dynamics CRM: Sourcing, mapping, and routing structured intent and lead data natively inside Microsoft CRM to facilitate clean client engagement for reps.

 

 

Marketing Platform Integration

Adobe Experience/Marketing Cloud: Comfort extracting client behavioral metrics from Adobe platforms to analyze content/campaign success.

 

 

AI & Large Language Models

AI / LLM Customization (Claude Preference): Real-world experience integrating LLM prompts (specifically Claude) to filter, summarize, or translate unstructured data into CRM summaries.

 

 

"Translator" Core Skill

Data to Sales Translation: Proven capability to bridge gaps between complex technical data science models and daily sales behaviors. No generic dashboard

creators.

 

 

Agile Pilot Experience

Rapid Prototyping: Clear examples of launching and proving the value of dynamic, small-scale pilot programs rather than standard reports. High comfort with ambiguity.

 

 

 

 

We’re looking for a data/business analyst who can turn Signals data into clear, actionable sales insights and help us build and test next-best-action use cases.

• Domain + Business Understanding: understands Workplace Solutions business and Sales process (pipeline, RFPs, retention, cross-sell) with the ability to  connect data to real business outcomes (not just analysis)
• Strong Translator: take messy, disparate, and ambiguous data and turn it into clear and simple sales insights. This is not a “report builder”—this is a translator between data and sales
• Bias for action (not perfection): comfortable with ambiguity who is willing to: test, pilot, iterate quickly.
• Comfort with multiple data sources: able to work across CRM, marketing,  external intent, and business intelligence data finding data connections to guide leads evolutions.
• Strong communication: can explain insights simply: “Here’s what the data is telling us and here’s how we should leverage it avoiding overcomplicated analysis.
• Partnership mindset: works closely with product, sales, marketing, data scientist to focus on solving problems together.
• Ownership mentality: takes responsibility for: helping define use cases, driving pilots, showing results while not waiting for direction.

 

 

Key Responsibilities:

1. Improve data clarity and usability: identify gaps in: data quality, missing fields, confusing signals, and recommend improvements

• Output: Clear list of what data needs to be fixed or enhanced.

1. Connect data to real sales use cases: take business intelligence & Signals data (engagement, intent, activity, bombora, product defend/grow, etc.) and map the data so we can translate it into clear use cases for sales
   • Output: Clear use case definitions tied to sales behavior
2. Build “art of possible” pilots: partner with product + sales to design small, testable pilots, focus on proving value quickly (not perfection) Potential example pilots: next best action triggers, lead prioritization signals, client intent summaries
   • Output: 2–4 working pilots that show business impact.
3. Map data to lead quality: identify which business and Signals data improve lead relevance & context, timing of outreach, conversion.

• Output: Clear mapping of: X data sets improve this type of lead/use case.

1. Create client-level insights: pull together data across sources (internal &external Signals) and build a single view of client intent / interest.

• Output: Simple, usable client summaries (what sales should do next)/

1.  Partner directly with sales: work with sales teams to understand what they need, what’s useful vs. noise, and then iterate based on real feedback

• Output: Insights that create sales opportunities and drive sales effectiveness.

1. Support roadmap decisions: help product team decide what data to prioritize, what use cases to build next, bring data-backed recommendations:

• Output: Input into Signals roadmap and prioritization.

Thanks & Regards 

Mohd Dilshad Alam 

Next Level Business Services, Inc. 

Talent Solutions | Digital Transformation | Data Analytics  

Linkdin : https://www.linkedin.com/in/mohd-dilshad-b5980a258/ 

"An ISO 27001 and 20000-1 Certified & Minority Business Enterprise(CMBE) “"?