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.
Summary:
- Bachelor’s / Master’s degree in a quantitative field (e.g. Computer Science, Statistics, Engineering)
- 6+ years of relevant experience in Data Analytics or Data Engineering
- 3+ years of hands-on experience in SQL & NoSQL working large datasets.
- Hands-on application development experience in AWS and experience in Snowflake, tableau or power BI.
- Good working knowledge on any programming language like Javascript or python.
- Proficiency with REST API, JSON, AWS
- Experience in working and delivering projects independently. Ability to multi-task and context switch between projects and tasks.
- Curiosity, passion, and drive for data queries, analysis, quality, models.
- Excellent communication, initiative, and coordination skills with great attention to detail.
- Ability to explain and discuss complex topics with both experts and business leaders
- Application development background of using any contact center product suites such as Genesys, Avaya, Cisco etc. is an added advantage.
Key Responsibilities:
- Interface with business customers, gathering and understanding requirements
- Interface with customer and Genesys data science teams in discovery, extraction, loading, data transformation, and analysis of results
- Define and utilize data intuition process to cleanse and verify the integrity of customer & Genesys data to be used for analysis
- Implement, own, and improve data pipelines using best practices in data modeling, ETL/ELT processes
- Build, improve, and provide ongoing optimization of high quality models
- Work with PS & Engineering to deliver specific customer requirements and report back customer feedback, issues and feature requests.
- Continuous improvement in reporting, analysis, overall process. Visualize, present and demonstrate findings as required.
- Perform knowledge transfer to customer and internal teams. Communicate within the global community respecting cultural, language and time zone variations
- Demonstrate flexibility to adjust working hours to match customer and team interactions
Minimum Requirements:
- Knowledge of SQL language and cloud-based technologies
- Data warehousing concepts, data modeling, metadata management
- Data lakes, multi-dimensional models, data dictionaries
- Migration to AWS or Azure Snowflake platform
- Performance tuning and setting up resource monitors
- Snowflake modeling – roles, databases, schemas
- SQL performance measuring, query tuning, and database tuning
- ETL tools with cloud-driven skills
- Integration with third-party tools
- Ability to build analytical solutions and models
- Coding in languages like Python, Java, JavaScript
- Root cause analysis of models with solutions
- Hadoop, Spark, and other warehousing tools
- Managing sets of XML, JSON, and CSV from disparate sources
- SQL-based databases like Oracle SQL Server, Teradata, etc.
- Snowflake warehousing, architecture, processing, administration Data ingestion into Snowflake
- Enterprise-level technical exposure to Snowflake applications
Desirable Skills:
- Sql-advanced, Snowflake.
- Good have AWS- Lambda , S3.
- Expertise in Data Engineering
- Prior Working experience with Contact center reporting with genesys cx, genesys engage , pure connect, cisco , and avaya etc.. is an added advantage.
- Prior working experience with Genesys Cloud - Preferred.
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 equity 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.
