Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Years of Experience: Candidates with 8+ years of hands on experience
Required Skills: Successful candidates will have demonstrated the following skills and characteristics:
Must Have technical skills:
Familiarity with the CCaaS domain, contact center operations, customer experience metrics, and industry-specific challenges
Understanding of conversational (chats, emails and calls) data to train Conversational AI systems
In-depth knowledge of CCaaS platforms like NiceCX, Genesys, Cisco etc., including their architecture, functionalities, and integration capabilities
Familiarity with contact center metrics, such as average handle time (AHT), first call resolution (FCR), and customer satisfaction (CSAT)
Familiarity with sentiment analysis, topic modeling, and text classification techniques
Proficiency in data visualization tools like Tableau, Power BI, Quicksight and others
Understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their services for scalable data storage, processing, and analytics
NLU Verticals Expertise: ASR generation, SSML modeling, Intent Analytics, conversational AI testing, Agent Assist, Proactive Outreach Orchestration, and Generative AI
Apply advanced statistical and machine learning techniques to analyze large datasets and develop predictive models and algorithms, enhancing contact center performance.
Expertise in data management governance practices including data quality, and data privacy regulations.
Strong business understanding and ability to translate data insights into actionable recommendations for improving contact center operations, customer experience, and overall business performance.
Excellent communication skills, leadership abilities, and a strategic mindset to effectively manage teams and drive data-driven decision-making within the organization.
Nice to Have technical skills:
Proficiency in programming languages such as Python/Pyspark/R/SQL
Strong understanding of data science principles, statistical analysis, and machine learning techniques.
Experience in predictive modeling
Skilled in techniques like regression analysis, time series forecasting, clustering and NLP techniques
Knowledge of distributed computing frameworks like Hadoop and Spark for processing large volumes of data.
Understanding of NoSQL databases (e.g., MongoDB, Cassandra) for handling unstructured and semi-structured data.
Awareness of data security best practices, encryption techniques, and compliance regulations (e.g., GDPR, CCPA). Understanding of ethical considerations in data science and responsible AI practices.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date