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1 month ago
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Sigmoid·SaaS·1 month ago
1 month ago

Associate Manager- Presales

Bengaluru, IndiaFull-timeMid · 5-7 yearsSales Engineer

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Must-have skills for this role

  • data analytics
  • data engineering
  • data architecture
  • data pipelining

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Apply faster with autofill FREESigmoid uses Greenhouse - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

About this role

Job Description

Are you passionate about data analytics and helping large enterprises to leverage data to drive business success? If so, Sigmoid is seeking a dynamic and results-driven Sales Consultant to join our team. As a Presales consultant, you will play a pivotal role in engaging with prospective clients, understanding their unique challenges, and showcasing how our data analytics services can address their specific needs.

Key Responsibilities

  • Client Engagement: Build and maintain strong relationships with prospective clients by understanding their business objectives and challenges.

  • Needs Analysis: Collaborate with clients to identify their data analytics needs and requirements and translate them into tailored solutions.

  • Solution Presentation: Develop and deliver compelling presentations and demonstrations that showcase the value of our data analytics services in addressing client pain points.

  • Technical Expertise: Leverage your deep understanding of data analytics technologies and methodologies to provide expert guidance to clients.

  • Collaboration: Work closely with our Sales and Technical teams to ensure seamless transition from pre-sales to implementation.

  • Customization: Identify opportunities for customization and optimization of ourservices to meet the unique requirements of the clients.

  • Competitive Analysis: Stay up to date with industry trends and competitors' offerings to effectively position our services.

  • Proposal Creation: Prepare detailed proposals, including scope, pricing, and timelines, in alignment with client needs.

  • Knowledge Sharing: Keep the team informed about industry’s best practices, client feedback, and emerging trends.

Qualifications

  • Bachelor's degree in a related field (e.g., Business, Data Science, Computer Science) and MBA with Overall, 5-7 years of experience.

  • Proven experience in a consulting role, preferably in data analytics.

  • Strong understanding of data analytics technologies, tools, and methodologies.

  • Strong exposure to Data Engineering concepts like Data Architecture, Data Pipelining etc.

  • Excellent communication and presentation skills.

  • Ability to translate technical concepts into non-technical language.

  • Exceptional problem-solving and analyticalskills.

  • Ability to work collaboratively in a fast-paced, dynamic environment.

  • Familiarity with the CPG, BFS, and Life Sciences industry is a plus.

  • Willingness to travel as required.

Why Join Sigmoid?

  • Be part of a dynamic and innovative team at the forefront of data analytics for large enterprises.

  • Opportunity to work with leading enterprise accounts and shape the future of their data-driven strategies.

  • Competitive compensation package, including performance-based incentives.

  • Ongoing training and professional development opportunities.

  • Collaborative and inclusive company culture.

If you are passionate about data analytics, have a knack for understanding client needs, and want to play a key role in helping large enterprises thrive in a data-driven world, we encourage you to apply for the position of Sales Consultant at Sigmoid.

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

SaaS

Company

SigmoidSaaS
Bengaluru, India

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Sigmoid's careers site·first seen 28 Jul 2026·last verified 8 Sept 2026·How we source jobs

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