About Sutherland
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results.
Job Description
The Data Consultant is responsible for partnering with NICE Business Consultants in servicing customers in the areas of contact center and process improvement with NICE clients. Designing, developing, and maintaining BI solutions to analyze and publish data insights and actionable recommendations, this role is responsible for helping NICE clients drive value. The consulting Data Analyst will build long term relationships with NICE Business Consultants and Sales Executives while driving exceptional end to end service delivery with a strong focus on statistics, machine learning, data analytics, business intelligence, and AI-driven solutions. Will have significant customer facing experience, is expected to be able to communicate fluently in English and present results of highly specialized statistical analysis effectively.
- Analyze new and existing customers’ KPI performance and develop contact center analyses, consultative recommendations and regular quarterly business reviews.
- Build financial analyses: potential and achieved benefit calculations and models from the Call Center KPIs.
- Able to communicate complex analysis and insights to various stakeholders inside and outside of analytical teams.
- Design, develop, deploy, and maintain a suite of ‘automated’ / ‘repeatable’ pipelines, scripts, machine learning solutions, statistical models and SQL Queries to support NICE Business Consultants and VRS offerings
- Utilize existing BI-enabled dashboards, Python Scripts and SQL queries to publish data outputs and data insights for NICE Customers & Business Consultants.
- Develop presentations and effectively communicate recommendations to Business Consultants and NICE Customers.
- Focus on Contact Center best practices & processes up to and including industry KPI benchmarks. Also understand contact center definitions and calculations.
- Support NICE Business Consultants in identifying additional solutions and services opportunities.
- Advanced English level (B2 or Higher)
LLM (Large Language Model) knowledge
- BS. in Computer Science, Statistics, Mathematics, Industrial Engineering or related analytical field of study - or related experience
- At least 4 proven years of professional experience covering B.I., data science, machine learning, and/or statistical analysis.
- Advanced Python and/or R skills.
- Advanced SQL skills.
- High intellectual curiosity, advanced analytical skills, and the ability to effectively communicate complex concepts
- Ability to work flexibly and independently in a fluid environment
- Exceptional attention to detail
- Methodical ability to identify gaps in source data.
- Excellent problem-solving ability in high pressure situations.
- Excellent negotiation skills to resolve internal and external competing priorities.
- Proven ability to influence cross-functional teams without formal “direct-line” authority
- Excellent verbal, written communication, and presentation skills are a must.
- Proven data analyst experience (in contact center industry would be preferred)
- Plus: Domain experience with contact center Workforce Management; IVR & Routing; Performance Management; Back Office Management; Process Automation (Robotics); or Quality Management solutions.
- Experience preferred in using AI-driven solutions such as AI-assisted coding tools, LLMs, prompt engineering, and building or managing autonomous, agentic AI workflows.
All your information will be kept confidential according to EEO guidelines.
Skills Required
- Advanced English level (B2 or Higher)
- LLM (Large Language Model) knowledge
- BS in Computer Science, Statistics, Mathematics, Industrial Engineering or related field (or equivalent experience)
- At least 4 years professional experience in BI, data science, machine learning, and/or statistical analysis
- Advanced Python and/or R skills
- Advanced SQL skills
- High intellectual curiosity and advanced analytical skills
- Ability to work flexibly and independently in a fluid environment
- Exceptional attention to detail
- Methodical ability to identify gaps in source data
- Excellent problem-solving ability in high pressure situations
- Excellent negotiation skills to resolve competing priorities
- Proven ability to influence cross-functional teams without formal direct-line authority
- Excellent verbal, written communication, and presentation skills
- Proven data analyst experience (contact center industry preferred)
- Domain experience with contact center Workforce Management, IVR & Routing, Performance Management, Back Office Management, Process Automation (Robotics), or Quality Management (preferred)
- Experience with AI-driven solutions such as AI-assisted coding tools, LLMs, prompt engineering, or agentic AI workflows (preferred)
Sutherland Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sutherland and has not been reviewed or approved by Sutherland.
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Flexible Benefits — Flexible scheduling and work-from-home arrangements are offered on certain programs, supported by remote-work infrastructure and virtual IT support. Program-specific flexibility is emphasized for “Sutherland Anywhere” roles.
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Leave & Time Off Breadth — Paid time off and paid training are positioned as standard elements, with some materials also highlighting flexible vacation days. Core leave features are presented as part of the baseline package.
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Strong & Reliable Incentives — Performance incentives, bonuses, and commissions are available on selected programs to supplement base pay. Goal-linked earnings opportunities are described for certain functions.
Sutherland Insights
What We Do
We make digital ?????™ by combining human-centered design with real-time Analytics, AI, Cognitive Technology & Automation to create exceptionally engineered Brand Experiences! Sutherland is an experience-led digital transformation company. Our mission is to deliver exceptionally engineered experiences for customers and employees today, that continue to delight tomorrow. For over 35 years, we have cared for our customers’ customers, delivering measurable results and accelerating growth. Our proprietary, AI-based products and platforms are built using robust IP and automation. We are a team of global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland. #MakeDigitalHuman
