Client Solutions Data Analyst

Duties and Responsibilities

Strategic Insight and Advisory

• Translate analytical findings into business-relevant, actionable insights that inform strategy and decision-making rather than reporting results alone.

• Evaluate the effectiveness of initiatives and activities to assess impact on performance, perception, and risk, and identify opportunities to strengthen outcomes.

• Deliver concise, insight-driven deliverables that clearly articulate implications, recommendations, and the “so what” needed to guide future actions.

Data Analysis and Delivery

• Serve as a senior data and analysis expert supporting analytics and AI-enabled data solutions to address clients’ most critical business challenges.

• Produce high-quality analytical reports, summaries, dashboards, newsletters, executive briefs, and presentations that translate findings into clear strategic direction, enabling clients to understand priorities, risks, opportunities, and recommended actions.

• Evaluate and rapidly develop understanding of new data sets and content types, including structured and unstructured data, to deliver timely, high-quality, and actionable insights.

• Monitor AI-driven outputs and performance indicators, analyze trends and patterns, and provide data-driven recommendations for continuous improvement.

• Present analytical findings and AI-enabled insights clearly and effectively, tailoring communication to different audiences and levels of technical understanding.

• Deliver ad hoc analyses and reporting in response to business and client needs.

• Maintain awareness of evolving analytical, data, and AI practices relevant to the role.

Project and Operational Support

• Support analytical project planning and execution activities across relevant tools, platforms, and systems.

• Collaborate with internal stakeholders to clarify requirements, timelines, and deliverables for assigned projects.

• Identify potential risks, delays, or quality issues and propose or escalate mitigation actions as appropriate.

• Perform ongoing quality review of analytical outputs to ensure accuracy, consistency, and alignment with requirements.

• Support product and operations teams in identifying and evaluating process improvement opportunities, including AI-enabled workflow enhancements.

Pre-Sales and Stakeholder Engagement

• Support pre-sales and solutioning activities by contributing data, analytics, and AI-related expertise when opportunities are identified and approved.

• Participate in client and internal meetings to understand business context, data requirements, and analytical objectives.

• Contribute to requirements reviews and joint analysis with internal teams, external providers, and technology partners.

• Develop and document analytical and data requirements, including briefs, use cases, workflows, and process flow documentation.

• Provide structured input and feedback to ensure proposed solutions and deliverables align with quality, performance, and delivery expectations.

Core Competencies

• Analytical and Writing Skills – Produces clear, accurate, and well-structured analyses and written outputs aligned to stakeholder and client expectations.

• Results Orientation – Consistently delivers high-quality work within defined guidelines, timelines, and priorities.

• Decision Making – Evaluates data from multiple sources to identify issues, assess options, and recommend effective solutions.

• Collaboration and Relationship Building – Builds productive working relationships to support the achievement of business and project goals.

• Influence and Communication – Communicates insights and recommendations clearly and persuasively across diverse audiences.

• Work Management – Effectively manages time and priorities while contributing to multiple initiatives concurrently.

Qualifications and Experience

• Bachelor’s degree in business, analytics, statistics, economics, computer science, or a related field preferred.

• 6–10 years of experience in data analysis, analytics consulting, or client-facing analytical roles.

• Hands-on experience with data analysis and AI-enabled tools or platforms in a business or professional services environment.

• Experience supporting B2B and/or B2C clients with data-driven insights and solutions.

• Strong problem-solving skills with excellent attention to detail and data quality.

• Ability to work independently and collaboratively in a cross-functional environment.

• Strong written and verbal communication skills, including the ability to present complex information clearly.

• Experience supporting continuous improvement or change initiatives preferred.

• Knowledge of data governance, ethical data usage, and compliance considerations is a plus.

• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

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