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Sr. Manager, Business Intelligence

skan.ai

skan.ai

Operations, Data Science
Bengaluru, Karnataka, India
Posted on Thursday, June 20, 2024

Company & Role Overview:
Skan’s vision is to be the foundation for operational intelligence and the fabric of the future of work. If you are interested in working on an AI-powered platform and redefining business process discovery and management, join us on our journey.

Description:

As the Sr. Manager of Business Intelligence, you will lead a team responsible for building, modulating, and understanding the data produced by Skan to transform it into customer-friendly dashboards that showcase business value insights. You will collaborate closely with the Product and Engineering teams to ensure our analytical capabilities align with our product roadmap and technical architecture. Additionally, you will work with our Customer Success and Implementation Services teams to understand, discover, define, and quantify potential business value improvements that our solutions can achieve for prospects and current customers.

Your team will focus on modifying or creating dashboards that help customers realize the value of our data. You will also drive the standardization of templates and value-driven outcomes by industry and process, which can be subsequently leveraged in similar projects. Your team will utilize data to drive business decisions, write SQL queries, data mine, and leverage visualization techniques.

What you will do at Skan:

  • Lead and mentor a team of BI Developers responsible for interpreting data, building/modifying dashboards jointly with customers, and proposing potential process improvement solutions based on data insights.
  • Collaborate with Product and Engineering teams to ensure our data analytics capabilities align with product roadmaps and technical architectures.
  • Work with data to arrive at key metrics and KPIs for our customers (e.g., NPS, FPR).
  • Oversee the creation of highly creative dashboards that bring out powerful business value through insights and storytelling, and present to the stakeholders.
  • Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and support effective decision-making.
  • Analyze unique operational data to find new and deep insights that bring value to our customers.
  • Leverage tools like Power BI and experiment with infographics to make our rich data as actionable as possible.
  • Collaborate and innovate with our data science team to unlock new value drivers from our data.
  • Participate in customer value engineering meetings and gain first-hand experience on business value.
  • Drive the standardization of the value engineering framework and report templates across the organization.