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Business Process Analyst
Job in
San Jose, Santa Clara County, California, 95199, USA
Listed on 2026-03-14
Listing for:
netPolarity, Inc. (Saicon Consultants, Inc.)
Full Time
position Listed on 2026-03-14
Job specializations:
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Title :
Business Process Automation Analyst
Location:
San Jose, CA
Duration: 6+ Months (Possibly extend)
Note :
Looking for those who can work on W2
Client is looking for IT is seeking a Business Systems Analyst with strong experience supporting marketing and sales workflows, including Salesforce based ecosystems, and hands on experience using AI assisted delivery techniques (e.g., vibe coding, agentic AI). Success in this role requires the ability to operate across business, data, and automation layers—bringing clarity, speed, and measurable outcomes to complex Lead to Cash workflows.
WhatYou’ll Do
- Partner with Marketing and Sales business stakeholders to define future state “Lead to Cash” workflows across Direct, Inside Sales, Channel, and eCommerce channels—minimizing manual touchpoints and enabling scalable growth.
- Enable solutions to assist sales teams with marketing automation, sales enablement, intelligent lead routing, assignment & scoring, and account and contact data enrichment capabilities.
- Leverage AI-assisted delivery techniques (including ‘vibe coding’/rapid prototyping) to validate concepts quickly with users and accelerate iteration.
- Design and leverage AI agents and workflow orchestration capabilities to automate complex end-to-end business processes with built-in governance, exception handling, security/access controls, and operational oversight.
- Establish success metrics to measure cycle time reduction, elimination of handoffs, user adoption, and process compliance.
- Assess upstream/downstream impacts across integrated systems, document system interactions, data dependencies, and exception paths.
- Translate business needs into clear functional specifications, process flows, user stories, and acceptance criteria—including agent-ready rules and guardrails.
- Drive UAT readiness, including test planning, end-to-end validation, and stakeholder coordination to ensure solutions meet business expectations.
- Collaborate with Development, QA, Info Sec, and Enterprise Architecture to ensure solutions are secure, scalable, and aligned to enterprise standards.
- 8+ years of Business Systems Analyst experience supporting large-scale enterprise applications.
- Deep experience with Salesforce based application ecosystems, including Sales Cloud, Marketing Cloud, CPQ, and marketing applications like Marketo / Hub Spot/ Pardot.
- Hands-on experience with enterprise marketing automation, lead management, sales enablement, intelligent routing, and account/contact data enrichment platforms, with strong understanding of end to end Lead to Cash process orchestration, analytics, and AI assisted automation.
- Experience designing and executing marketing automation and end to end campaign life cycles, spanning lead capture, nurture through MQL/SQL handoff, using trigger based and behavioral engagement models.
- Strong understanding of end to end sales processes, including Quote to Cash, order management, and billing and revenue recognition.
- Ability to build consensus among cross functional stakeholders at multiple organizational levels on approach and outcomes, enabling delivery of robust, scalable technology solutions.
- Experience working in Agile / iterative delivery environments, including backlog refinement, sprint planning, incremental releases, and rapid feedback loops.
- Hands-on experience using rapid prototyping or AI-assisted development techniques (e.g., Vibe Coding, low code/no code, or similar approaches) to accelerate validation and delivery.
- Experience designing and leveraging AI agents and workflow orchestration to automate end to end business processes.
- Excellent communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences.
- Comfortable driving clarity and outcomes in fast-moving, ambiguous situations.
- Bachelor’s or Masters’s degree in Systems Engineering, Computer Science, Management Information Systems (MIS), Software Engineering, Marketing
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