Skan AI

Skan's AI-powered Process Intelligence drives innovation, cost savings, customer experience, automation effectiveness, and productivity, leading to tangible and scalable transformation.

skan.ai

Skan AI

Skan's AI-powered Process Intelligence drives innovation, cost savings, customer experience, automation effectiveness, and productivity, leading to tangible and scalable transformation.

skan.ai

HQUS

Team Size228

Open Jobs8

Total Funding-

Latest FundraiseUnknown

TL;DR

What they do: Enterprise process intelligence / Work Graph platform that observes user activity to generate process maps, metrics, and AI-trained agents

Founding: Founded September 2018 by Avinash Misra and Manish Garg

Headcount (approx.): 228 employees

Notable funding: Raised a $40M Series B (announced March 2022) and a $14M Series A

Company Overview

Problem Domain

Enterprise process intelligence, workflow automation, and work-context data for AI-driven automation

Founded

2018

Industry

Software Development

Funding Track Record

Series A

$14M

Series B- March 2022

$40M

Series B participation included GSR Ventures, Liberty Global Ventures, Cathay Innovation, Citi Ventures, Zetta Venture Partners, and Firebolt Ventures

Investor Signal

“Raised venture funding from strategic corporate and VC investors including Dell Technologies Capital, Cathay Innovation, Citi Ventures, Zetta, Bloomberg Beta, Firebolt Ventures, GSR Ventures, and Liberty Global Ventures”

Founders

What we do

Join the Team

Data Analyst III

HybridBengaluru, Karnataka, IN

Hybrid • Bengaluru, Karnataka, IN

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We are seeking a skilled Data Analyst to transform complex data into actionable business insights, delivering intuitive dashboards and advanced analytics solutions that drive measurable value for our customers. In this role, you will partner with Customer Success and Implementation teams to design customer-facing analytics, standardize value delivery frameworks, and uncover data-driven opportunities that enhance business performance and decision making.

Key Responsibilities

Data Analysis and Visualization

Customer-Centric Dashboards : Collaborate with customers to design, build, and refine Power BI dashboards that transform complex data into clear, actionable insights, demonstrating ROI and performance improvements.
KPI Development and Tracking: Develop and monitor customized key performance metrics and KPIs (e.g., Net Promoter Score, First Pass Rate) tailored to customer needs, ensuring alignment with business objectives.
Advanced Data Mining: Conduct advanced data mining and analysis using SQL and data warehousing techniques to uncover trends, correlations, and insights that drive business improvements.
Operational Insights: Analyze operational datasets to discover deep, actionable insights that deliver measurable value to customers, enhancing process efficiency and effectiveness.
Innovative Visualization : Experiment with advanced visualization techniques and infographics in Power BI to maximize data clarity and actionability for both technical and non-technical stakeholders.

Collaboration and Value Engineering

Cross-Functional Partnership : Work closely with Customer Success, Implementation, and Data Science teams to identify data-driven process improvements and innovate new value drivers from Skan.ai’s platform.
Customer Value Engagement: Participate in customer value engineering meetings to gain firsthand insights into business value requirements, ensuring analytics solutions align with customer goals.
Standardized Frameworks: Contribute to the development and standardization of Skan.ai’s value engineering framework, creating industry-specific templates and report structures to streamline value delivery across projects.

Data-Driven Decision Support

Actionable Insights: Translate complex data into compelling, data-driven stories that support strategic business decisions and enhance customer outcomes.
Continuous Innovation : Collaborate with the Data Science team to explore new analytical approaches, leveraging emerging tools and techniques to unlock additional value from data.

Qualifications and Skills

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Experience : 6+ years of experience in business intelligence, data analysis, or a related field, with hands-on expertise in Databricks/Snowflake and Microsoft Power BI.

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Dashboard Expertise: Demonstrated ability to create intuitive, user-friendly dashboards that effectively communicate process insights to diverse audiences.

Business Process Analysis: Proven track record of conducting business process analysis and research across various industries, with experience in process mining or process analytics.

Value Engineering : Experience in value engineering or business value analysis, with the ability to analyze economic and corporate trends to support value-based discussions.

Communication Excellence: Exceptional communication skills, with the ability to distill complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.

Analytical Mindset: Strong analytical thinking with a focus on translating data into actionable business recommendations that drive measurable outcomes.

Collaboration and Independence : Ability to work independently while effectively coordinating across organizational boundaries in a fast-paced, dynamic environment.