Sr Analyst, Global Analytic Insights

Responsibilities:

The Analyst, Global Analytic Insights will be a key owner of analytic projects that have a direct impact on improving the business. The incumbent will make an impact in small team settings, working with the project team to make data-driven recommendations to enhance call center metric performance. This position entails work within a fast paced environment continuing to hone your analytic, process improvement, critical thinking, and management expertise.

Strategic Insight:

• Work in partnership with internal and client units to gain a comprehensive understanding of their business strategies, processes, and services.
• Comprehend the broader business environment in which the company operates, including industry trends, competitive landscape, and internal dynamics.
• Identify opportunities that are crucial in overcoming business challenges based on impact and value.
• Leverage collected insights, business environment intelligence, and data measurement for solution feasibility.
   

Process Review and Improvement:

• Understand, map and review assigned business processes from end-to-end.
• Identify operational, financial, and technological risks, and provide quantified mitigation strategies.
• Foster a culture of continuous improvement, encouraging the identification and exploration of innovative solutions.

Analytical Project Management/Participation:

• Scope and manage analytical projects, including timeline creation and documentation.
• Work together with operations and/or clients to understand business problems and processes.
• Conduct data analysis and present actionable and quantifiable recommendations.
• Implement and track the impact of recommendations to ensure value realization.
   

Communication and Relationship Management:

• Keep stakeholders informed through effective communication – manage clients’ previous and current needs, align tasks to appropriate departments, showcase project gains and victories, and advise of progress and potential showstoppers.
• Present analysis, findings, and other media to all levels of the organization including executives.
   

Data-Driven Decision Making:

• Utilize expertise in Information Systems to develop, set up, and manage coherent reports that contribute to the execution of action plans.
• Ensure data reliability and validity.
• Leverage data reporting to gain business insight and operationalize opportunities identified, with the possibility of employing statistical analysis for trend/insight validity.
   

Teamwork and Accountability:

• Ensuring client wins by initiating improvements and owning the business.
• Coordinate and contribute with team members and peers to implement solutions.
• Holds self accountable by following through on proposed initiatives, implementation, and outcomes.
   

Call-Related Tasks:

• Listen to live and recorded calls to generate data and/or spot quantifiable improvement opportunities and glean business insights.
• Assess customer emotions and satisfaction levels through sentiment analysis.
• Identify hindrances to issue resolution and ensure process compliance is consistent on customer interactions.
   

AI Skills:

• Prompt Engineering: Ability to craft clear, structured prompts that produce accurate and actionable outputs from AI models. This includes writing multi-step instructions, using context-setting techniques, and iterating on prompts to improve quality of results for analytical tasks (e.g. summarizing call data, generating SQL, drafting reports).
• AI-Augmented Analysis: Demonstrated ability to integrate AI tools into day-to-day analytical workflows - including using AI to accelerate data interpretation, identify trends, generate hypotheses, and produce first-draft insights that are then validated and refined by the analyst.
• Critical Evaluation of AI Outputs: Ability to review, fact-check, and appropriately challenge AI-generated content. Understands AI limitations (hallucination, bias, context gaps) and applies sound judgment before using outputs in client deliverables or business decisions.
• Agentic AI Workflow Design: Ability to design multi-step AI-assisted workflows where AI handles repetitive or high-volume tasks (e.g. data extraction, initial scoring, summarization) while the analyst focuses on judgment-intensive interpretation and client-facing outputs.

Qualifications:

• Required:

• Bachelor’s degree in related field from a four-year college or university with two to four years related experience.
• Strong analytical skills and ability to use descriptive statistics & predictive analytics methods to translate data into business insights.
• Ability to work in an environment where activities and deliverables are dependent on a diverse group of technical and business functional experts.
• Demonstrated ability to leverage AI tools (e.g. Claude, Copilot) to accelerate analytical work, with the judgment to validate outputs and apply them responsibly in a client-facing environment.
• Ability to adjust and adapt to constantly changing business needs & priorities.
• Verifiable skill in following through with project/solutions implementation. Adept at leading solutions implementation from identification of opportunity and determining business case/potential value and ROI to results/ROI follow-through.
• Excellent communication and collaboration skills, with particular focus on promoting analysis and proposing solutions.
• Ability to work quickly and efficiently without direction or supervision for extended periods.
• Advanced/expert skills in the use of Microsoft Office applications.
• Demonstrated ability in creative problem solving and innovative solution development.
• Willing to align to a North American work schedule.
• Willing to work onsite fully or as needed on client/account/business needs.

• Preferred

• Exposure to Python, SQL, Databricks and similar applications.
• Familiarity with machine learning concepts and technologies.
• Knowledge of Six Sigma or similar process improvement methodologies.