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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