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Presale Analyst Jobs (NOW HIRING)

The AI & Data Presales Expert leads the full presales lifecycle for data, analytics, and AI opportunities: from early qualification through discovery, solution shaping, proposal creation, and ...

... analysis and design * Gather business requirements, conduct needs assessments, and develop ... Lead presales by gathering high-level requirements, writing statements of work, and facilitating ...

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FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100 ... Acting as a Presales Solutions Consultant within FICO's B2B Scores business, you will partner ...

We help companies connect, protect, analyze, and act on their data and applications wherever they ... The Presales Systems Consultant serves as a trusted technical advisor supporting HPE Networking ...

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Presale Analyst information

What is a presale analyst?

Presale Analysts are professionals who support sales teams by analyzing client requirements, preparing technical and business proposals, and ensuring solutions meet customer needs before a sale is finalized. They work closely with both internal departments and clients to gather information, demonstrate product capabilities, and tailor solutions to specific client challenges. Their work helps bridge the gap between customer needs and the company’s offerings, increasing the likelihood of successful sales. Presale Analysts often participate in presentations, respond to RFPs (Requests for Proposals), and help address technical questions during the sales process.

What are the key skills and qualifications needed to thrive as a presale analyst?

To thrive as a Presale Analyst, you need strong analytical abilities, business acumen, and a background in sales or technical fields, often supported by a relevant degree. Familiarity with CRM platforms like Salesforce, data analysis tools, and proficiency in creating presentations and proposals is typical. Excellent communication, problem-solving, and collaboration skills help distinguish top performers in this role. These capabilities are crucial for effectively bridging client needs and solutions, supporting sales teams, and driving successful business outcomes.

How does a presale analyst typically collaborate with sales and technical teams during the proposal process?

As a Presale Analyst, you will work closely with both sales and technical teams to develop tailored proposals and solutions for potential clients. Your role often involves gathering client requirements, analyzing data, and translating business needs into technical specifications that the technical team can address. Effective communication and coordination are key, as you’ll participate in meetings, clarify requirements, and ensure that proposals meet both client expectations and company capabilities. This collaborative approach helps deliver compelling, accurate proposals that drive sales success.

What cities are hiring for Presale Analyst jobs?

Cities with the most Presale Analyst job openings:

What states have the most Presale Analyst jobs?

States with the most job openings for Presale Analyst jobs include:

What are popular job titles related to Presale Analyst jobs?

For Presale Analyst jobs, the most frequently searched job titles are:

Infographic showing various Presale Analyst job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 80% Physical, 8% Hybrid, and 12% Remote job distribution.

AI & Data Presales Expert / I

Warsaw, IN • On-site

$150 - $200/hr

Other

Re-posted 16 hours ago


Job description

The AI & Data Presales Expert leads the full presales lifecycle for data, analytics, and AI opportunities: from early qualification through discovery, solution shaping, proposal creation, and handover to delivery. The role combines strong client-facing skills, technical literacy in modern data/AI platforms, and the ability to craft compelling value cases and solution narratives. It requires close collaboration with Specialized Sales, Solution Architects, and SMEs to build winning proposals and guide customers toward clear, measurable outcomes.

Key Responsibilities Opportunity Qualification & Deal Shaping
  • Assess opportunity fit, customer readiness, stakeholder landscape, decision process, risks, and next steps together with Specialized Sales.
  • Shape commercial options, scope boundaries, delivery models, and risk/assumption clarity.
Customer Discovery & Requirements Definition
  • Prepare and lead discovery workshops and interviews with business and technical stakeholders.
  • Capture functional and non-functional requirements, constraints, success metrics, and KPIs.
  • Translate findings into a structured use-case backlog and MVP definition.
  • Build and maintain the solution storyline, including phased roadmap, trade-offs, and alternative options.
  • Coordinate Solution Architects and SMEs to define the solution approach, sizing inputs, delivery model, and risk/assumptions register.
  • Produce high-quality presales artifacts: executive presentations, proposals/SoWs, RFP responses, and compliance matrices.
  • Ensure clarity, structure, and consistency across all written materials.
  • Drive internal reviews, bid cadence, and readiness checkpoints to ensure alignment between Sales and Architecture.
Value Engineering & Business Case Development
  • Create and update ROI/TCO models, benefit hypotheses, and measurement plans.
  • Align value case with customer KPIs and strategic priorities.
Profile
  • Proven ability to lead the end-to-end presales process: qualification discovery solution narrative proposal handover.
  • Strong workshop facilitation and requirements‑shaping skills.
  • Demonstrated value engineering capability (ROI/TCO, benefits narrative, measurement frameworks).
  • Experience owning proposal and RFP processes, including compliance matrices and structured responses.
  • Solid technical literacy in AI and Data (data platforms, analytics, AI/ML concepts) to engage credibly with clients.
  • Experience in commercial shaping with sales teams (scope options, packaging, estimates, risk/assumptions).
  • English & Polish (C1)
Additional Qualifications
  • Deep expertise in one or more industries (e.g., manufacturing, retail, financial services, public sector).
  • Strong specialization in cloud and data platforms (Azure, AWS, GCP, Databricks, Snowflake, Fabric) and reference architectures.
  • Knowledge of advanced GenAI patterns (RAG optimization, evaluation, guardrails, agent/tool-calling).
  • Understanding of governance and risk frameworks (Responsible AI, privacy, data residency, sector compliance).
  • Experience building reusable assets (accelerators, templates, demo kits, discovery playbooks).
  • Marketing skills to craft compelling offers and value propositions.
About Inetum

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.

Globally, Inetum operates in 19 countries and employs over 28,000 professionals. The company focuses on four key areas:

  • Consulting (Inetum Consulting): Strategic advisory services that help organizations define and implement innovative solutions.

  • Infrastructure and Application Management (Inetum Technologies): Designing and managing IT systems tailored to clients’ individual needs.

  • Software Implementation (Inetum Solutions): Deploying partner solutions from industry leaders like Microsoft, SAP, Salesforce, and ServiceNow.

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