Senior Data Analyst

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.

Senior Data Analyst

Summary

The Genesys Data & Analytics Team

The Data & Analytics team is a central team comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, and Data Governance practices. This mighty team serves the enterprise that includes sales, finance, marketing, customer success, product and more. The team serves as a core conduit and partner to operational systems that run the business including Salesforce, Workday and more.

The Senior Data Analyst is a key member of the Enterprise Data & Analytics organization that enables trusted enterprise data and reporting, analytics, science and AI enablement. In this role, you will serve as a strategic partner across departments, translating complex data into actionable insights that influence multiple departments decision making, business strategy, and operational efficiency. The ideal candidate has deep analytical expertise, a strong business acumen, and a passion for solving complex problems with data.

Key Responsibilities:

• Work cross-functionally with product owners, data engineers, and internal stakeholders as part of agile scrum teams to prioritize, develop, and refine data solutions.
• Collaborate closely with data product owners to analyze business requirements, define success metrics, and deliver trusted, high-impact enterprise data products.
• Design, build, and maintain Tableau dashboards and visualizations that adhere to company standards for design, consistency, and data accuracy.
• Analyze complex enterprise datasets to extract actionable insights that support decision-making across functions such as product, operations, and customer success.
• Participate in sprint planning, daily stand-ups, retrospectives, and other agile ceremonies to ensure alignment and iterative delivery of analytics solutions.
• Lead and perform ad-hoc analyses and deep dives to identify trends, uncover root causes, and surface data-driven recommendations.
• Ensure data quality, consistency, and governance across analytical outputs, working closely with data engineering on data modeling and ETL design.
• Innovate and explore applications of AI and machine learning to enhance data products, optimize analytics workflows, and unlock new insights from enterprise data.
• Document analytical solutions and share best practices to drive data literacy and analytical maturity across the organization.
• Influence peers and the broader Data & Analytics (D&A) organization on best practices in data analysis, agile delivery, data governance, and visualization standards.
• Mentor junior analysts and contribute to the continuous improvement of data analytics tools, standards, and processes.
  
  

Requirements

• 6-10 years of experience in data analytics or a related role.
• Proven track record of delivering enterprise data solutions that drive business value.
• Strong experience with data visualization tools, data lakes, data warehouses, and cloud platforms (e.g., AWS, Azure, GCP, Tableau, Snowflake, etc.).
• Strong business acumen, relationship building, and superlative communication skills
• Expertise in data modeling, analytics, and visualization.
• Strong SQL and Python coding knowledge.
• Excellent communication, presentation, and stakeholder management skills.
• Strong analytical mindset with attention to detail.
• Ability to work in a dynamic, challenging environment where decisions you make will have a large impact
• Get-it-done mindset. You’re not afraid to take risks, you’re humble and scrappy!
• Experience working within an agile scrum framework
  
  

Preferred Qualifications:

• Experience in the technology sectors including business to business.
• Bachelor’s / Master’s degree in computer science, data science, etc.
• Creative, innovative and solution design thinking: You evaluate things holistically and think through the objectives, impacts, best practices, and what will be simple and scalable
• Excellent critical thinking, problem solving and analytical skills with a keen attention to detail.
• Strong team player: ability to lead peers in accomplishment of common goals.
  
  

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries 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, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

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.