Business and Data Analyst, Education North America

Genesys•Indianapolis, IN

1d•Remote

About The Position

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Reports to: Manager, Education Global Data & Analytics Location: Remote within US (not limited to the states that the job is tagged to) Job Summary The Business Analyst supports the Genesys Education organization by transforming complex data into clear, actionable insights that drive operational efficiency and supports data-driven decisions making. Using Snowflake and Tableau, this role develops scalable dashboards, reports, and analyses that help stakeholders understand consumption and performance trends and helps to identify opportunities for improvement. The ideal candidate is highly analytical, fluent in SQL, and able to collaborate across teams to drive Education’s data strategy and support operational growth.

Requirements

BA/BS in Business or related field or MBA
3-5 years of related operations and job experience
Strong skillset in SQL, data modeling, Tableau, Snowflake and analytics tools; familiarity with data w arehouse concepts and Snowflake architecture.
Proficiency in Excel; experience with complex formulas and data presentation
Working knowledge of data modeling , ETL concepts, and analytics best practices
Ability to clearly communicate insights, both verbally and visually, to stakeholders at all levels
Comfortable working across teams, building strong relationships, and influencing decisions through data
Ability to quickly understand complex software and concepts
A drive to learn and master new technologies and techniques.
Must be able to work in a fast-paced environment with demonstrated ability to juggle multiple competing tasks and demands
Ability to take initiative and be proactive
Ability to work independently and be resourceful

Responsibilities

Data Analytics & Insights Extract, transform, and analyze data from various sources, to include platforms such as Snowflake to identify performance trends, key metrics, and opportunities for improvement.
Build statistical models and data outputs to support strategic planning and operational decision-making.
Help to provide insights and recommendations to leadership based on data-driven findings
Reporting & Dashboard Development Assist in the design, development, and maintenance of Tableau dashboards that provide key performance indicators (KPIs), learner outcomes, training effectiveness, and operational metrics.
Create automated and scalable reporting solutions that simplify access to data and insights for cross-functional use.
Drive regular touchpoints with various stakeholders to continuously refine dashboards based on evolving business needs and stakeholder feedback.
Collaboration & Stakeholder Engagement Work closely with cross-functional teams to understand data needs and deliver actionable insights.
Lead data-driven discussions and support leaders in interpreting analytics to guide strategic decisions.
Translate complex analytical concepts into clear, accessible language for non-technical audiences.
Strategy & Process Improvement Ability to assist in the development of a long-term analytics strategy for the Education organization.
Ability to identify opportunities to improve on data governance, reporting processes, and analytical frameworks.
Support projects focused on enhancing operational efficiency and program performance with the use of data outputs and metrics.