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.
Data Analyst
As a Data Analyst on the Enterprise Data & Analytics team at Genesys, you’ll play a vital role in transforming data into meaningful insights that support strategic and operational decisions across the organization. This is an opportunity to work cross-functionally with business units such as product, finance, customer success, and marketing, while developing your analytical and data visualization skills in a dynamic, cloud-native environment.
Key Responsibilities
- Partner with internal stakeholders to understand business requirements and translate them into data queries and reports.
- Develop and maintain dashboards and reports using tools like Tableau, ensuring accuracy and visual clarity.
- Analyze enterprise data sets to identify trends, patterns, and opportunities for business improvement.
- Support sprint activities including planning, reviews, and daily stand-ups in an agile scrum team setting.
- Perform ad-hoc analyses and contribute to recurring reporting efforts.
- Collaborate with data engineers and data product owners to support data pipeline development and quality assurance.
- Document analytical processes, datasets, and key metrics for knowledge sharing and continuity.
- Learn and apply best practices in data governance, data modeling, and visualization standards.
Qualifications
- 2–5 years of experience in data analytics or a related role.
- Bachelor’s degree in data analytics, data science, computer science, statistics, business, or a related field.
- Proficiency in SQL and experience with a scripting language such as Python is preferred.
- Familiarity with data visualization tools such as Tableau, Power BI, or similar platforms.
- Understanding of data structures, data quality, and basic statistical methods.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills in a team-oriented environment.
- Eagerness to learn and grow within a fast-paced, agile framework.
- English proficiency is required
Preferred
- Master’s degree in data analytics, computer science, statistics, business, or a related field.
- Exposure to cloud platforms such as AWS, Azure, or GCP is a plus.
- Experience working in a technology company or SaaS environment is beneficial.
If a Genesys employee referred you, please use the link they sent you to apply.
About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
