Data Solution Analyst

Sightfull is a rapidly growing Revenue Analytics startup backed by top-tier VCs. Our platform helps SaaS companies quickly drive revenue growth by leveraging the full power of their real-time business data.

This is a rare opportunity to join a startup on the ground floor. You will join a small but powerful team that is ambitious and dynamic. We take pride in creating a hugely impactful product that is being built at the highest level of craft and execution and is already delighting multiple customers.

Role Overview:

We're looking for a skilled and experienced solutions expert to join our team. In this role, you will guide users to success in achieving their goals using the Sightfull platform. You will play a critical role in effectively solving customers' problems and translating their needs into actionable product requirements, directly contributing to new business and customer satisfaction.

If you have a passion for data, a sharp intuition for product and business, and a drive to enhance customer success through data insights, we invite you to apply for the role of Data Solution Analyst at Sightfull.

Responsibilities:

Expand Sightfull's understanding of user problems and become an expert in how our platform can solve them.
Work closely with the sales team to manage technical pilots, understand customer objectives, onboard users, and secure deals.
Build and deliver demos to new prospects and existing customers.
Be the expert in helping customers with their data models, business modeling, and reporting and analytics using Sightfull's platform.
Conduct training sessions to empower users to become product champions.
Resolve customer issues promptly, ensuring a positive customer experience.
Leverage your relationships with prospects and customers to drive product development and growth.
Work closely with the development team to align customer requirements with platform capabilities and offer feedback on enhancements and new features.
Work partially with US-based clients, accommodating different time zones.

Requirements:

3+ years of experience in analytical, consulting or customer facing roles.
Fluent English in conversation and writing.
Substantial experience in data transformation and data analysis with SQL or Python.
Strong communicator with an ability to deliver analyses clearly and effectively
Capable of independently owning and managing high-value projects.
Analytical, tech-savvy, and numerically literate
Proven ability to collaborate with peers and other stakeholders across product, engineering, and business domains
Bachelor’s degree in a relevant field (e.g., Industrial Engineering, Statistics, Business Analytics, Economics or equivalent degree).

Advantages:

Familiarity with CRM/Billing/Revenue platforms.
Experience working directly with business (revenue, marketing, sakes, finance) operations
Experience with visualization tools (looker, tableau, etc.)
Experience working at a B2B SaaS company
Experience in a dynamic startup environment