Data Analyst III

Be at the Forefront of the Agentic AI Revolution

At Skan AI, we are pioneering the context engine for human and agentic execution, bringing context from enterprise operators, systems, and processes to power how the world's largest organizations execute their most complex, mission-critical work.

Why Skan AI

We're in hyper-growth mode at exactly the right moment in history. As enterprises race to adopt agentic AI, we're uniquely positioned to deliver the clear signal they desperately need: a platform that trains and grounds AI Agents in trillions of real execution signals, enabling reliable, compliant automation of their most complex processes.

Backed by Dell Technologies Capital and other leading investors, we're the only company that can bridge the gap between AI's promise and enterprise reality, making us perfectly positioned to define the agentic era for modern enterprises.

Our diverse, collaborative team of 250+ innovators is solving category-defining challenges at the intersection of AI, process intelligence, and enterprise work. Diverse perspectives fuel breakthrough thinking, cross-functional collaboration is the norm, and our work directly transforms how Fortune 500 companies operate. We are shaping the future of work itself.

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 dashboards in Power BI and Apache Superset 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 and Apache Superset 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 the 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 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

Experience: 10+ years of experience in business intelligence, data analysis, or a related field, with hands-on expertise in Databricks/Snowflake, Microsoft Power BI, and Apache Superset.

Technical Proficiency: Strong proficiency in SQL, data warehousing, and online analytical processing (OLAP), with expert knowledge of the Microsoft BI stack (Power Pivot, SSIS, SSRS, SSAS) and open-source BI tools such as Apache Superset. • Programming Skills: Proficiency in Python for data parsing, structuring, and transformation to support advanced analytics workflows.

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.

GenAI tools & technologies: Experience leveraging Generative AI tools such as Claude, Gemini, or ChatGPT to automate reporting, extract actionable insights, and enhance data-driven decision-making. Skilled in using GenAI platforms like Claude, Gemini, or ChatGPT to analyze datasets, generate summaries, and create intuitive, insight-rich business reports.

We welcome people from all backgrounds and provide reasonable accommodations throughout the hiring process.