Let’s change the world
of service together

Technology and customer expectations are evolving fast, and service teams cannot keep pace. At Aquant, our mission is to enable service organizations to thrive in the future, using AI to harness customer data and the hidden knowledge of their service workforce. Aquant’s Service Co-Pilot empowers service organizations and their customers to make the best, most efficient decision for every service challenge.

As a Data Pre-Sales Engineer you will be the owner of the data processing and analysis process in our sales funnel, partnering with our Sales team to lead Pre-Sales activities providing proof of concept to prospective clientele using data analysis. You will balance multiple tasks simultaneously by leveraging your interpersonal skills and technical acumen to provide an exceptional experience throughout the Pre-Sales process.

Responsibilities:

• Write code to prepare, process, and analyze data to help Sales articulate Aquant’s unique value proposition in data related terms and build supporting material for engagements with C-level executives and senior technical and service leaders at global companies
• Understand prospect’s current service related data flow, how data is being collected and maintained in order to identify data gaps and provide recommendations on customer data qualification
• Perform data review, data transformation, demo environment setup, identify demo scenarios and create analyses to support a business case as part of a proof of concept process during the sales funnel (ie. “7-day challenge”) 
• Collaborate closely with Account Executives to build customer demos and business case through the analysis of customer data, contributing to accomplishing sales goals
• Maintain an in-depth understanding of Aquant's products and features required to support sales activities

What you bring to the table: 

• 2+ years of experience as data analyst or data engineer, or similar role
• BA/B.Sc. in in industrial/information systems engineering, statistics or related fields or equivalent practical experience in data engineering or analytics role
• Hands-on experience with Python (pandas), preferably creating ETL
• Hands-on Excel experience  
• Team player, with excellent collaboration skills
• Excellent verbal and written communication skills with the ability to relate technical concepts to clients with varying technical backgrounds
• Strong sense of ownership
• Fluent English
• Hands-on SQL experience (preferred)
• Business Intelligence (BI) experience (preferred)

It's not enough to have a cool product, join us because you share our values:

These guiding values inspire every Aquant employee. They are how we operate and enable our company as a whole to have greater impact and achieve our vision.

• Be Humble and Respectful: We are one team, where collective success is more important than individual ego. Treat your colleagues with respect and empathy, act with good intent and value everyone’s contributions.  
• Be Curious: Keep learning, and asking questions to understand complex situations. Embrace new challenges. Keep an open mind, and be receptive to feedback. 
• Take Ownership: Focus on achieving measurable and meaningful outcomes. Take decisive action, solve problems proactively, and take ownership for projects and results.
• Act with Integrity: Act with Integrity. Do great things while doing the right thing for your customers and colleagues.

Some of our benefits:

• Vacation your way: We want to make sure you have time to meet your personal needs with generous PTO and flexible vacation planning.
• Everyone is an owner: We want everyone to feel ownership over their work and what we are building here, which is why we offer equity to full-time employees.
• Build your career: Every Aquant employee is in control of their career development with our learning stipends, tools, and training.
• Get the best of both worlds with a hybrid workplace: We currently work 3 days a week in the office, allowing you to enjoy the flexibility you need (please note: this is subject to change based on the needs of the business)