Senior Analytics Consultant

About the Role

Our company is seeking an experienced Senior Analytics Consultant to lead our Insights Framework engagements within our dynamic data and AI consulting practice. These are structured, workshop-driven engagements that trace an organization’s strategic drivers through the business decisions, insights, KPIs, metrics, and dimensions that should inform them. In this client-facing role you’ll facilitate sessions with business and technical stakeholders, draw out and align competing priorities, and synthesize them into a clear set of analytical requirements and deliverables that connect strategy to actionable data needs — setting the stage for downstream data Lakehouse and advanced analytics work. The ideal candidate has guided large, complex organizations and executive leadership teams through analytics initiatives and is equally at home leading an executive readout and a working session with data engineers.

As a Senior Analytics Consultant at our company, you’ll help clients define what matters most — the decisions they need to make and the insights, KPIs, and metrics that drive them — and turn that into intuitive, widely adopted reporting. This position requires deep expertise in the Insights Framework methodology, KPI and metric definition, data visualization and storytelling, and data governance, along with enough technical fluency to translate business priorities into data requirements and guide clients through their broader data modernization journey.

What to expect when you join our company family

Team members at our company have a lot in common while also being part of a rich and diverse group of contributors, creating a distinct and thriving culture. Chief among our commonalities is a desire for growth and a shared unity of purpose in our professional lives. We believe that through diverse perspectives, challenging the status quo and rewarding action, we accelerate innovation and drive growth -- for our clients, for ourselves and for our communities.

The professional services landscape continues to evolve. For our company, this means we have an opportunity to cement our leadership position in this industry and continue to grow our organization in increasingly exciting ways. This growth is meaningful for every team member at our company because larger companies simply see more interesting client opportunities and can attract impressively talented individuals like yourself.

Senior Analytics Consultant Primary Responsibilities

Client Engagement & Requirements Gathering

• Facilitate structured workshops and collaborative sessions with business leaders, business SMEs, and technical SMEs across multiple functional areas to gather, refine, and align on organizational data and reporting needs.
• Draw out relevant information from diverse stakeholder groups, manage competing perspectives, and build progressive alignment across multiple sessions and workstreams
• Partner with C-suite executives and senior leadership to connect analytics initiatives to strategic drivers and business outcomes.
• Clearly articulate the purpose, value, and outcomes of analytical work to a range of audiences, from executive sponsors to operational teams.

Insights Framework Delivery

• Synthesize inputs from existing artifacts, workshop notes, and industry standards into a structured, well-organized framework that connects strategic priorities to actionable data needs. Define KPIs, metrics, and dimensions, and trace them back to underlying data sources and critical data elements.
• Design intuitive, interactive dashboards and reporting portfolios that business stakeholders actively adopt and use.
• Develop business glossaries and lightweight governance that keep terms, metrics, and definitions consistent and trusted across the organization. Apply the patience and discipline to fully understand business requirements before recommending technology platforms, dashboard designs, or data solutions — including the downstream data Lakehouse and advanced analytics work these engagements set up

Business Value Creation

Build compelling business cases for analytics and AI initiatives. Conduct ROI and cost-benefit assessments for proposed reporting, analytics, and platform investments. Develop phased roadmaps that balance quick analytical wins with the foundations for a modern data platform Monitor engagement outcomes and demonstrate measurable business value to stakeholders.

Project Leadership & Implementation

Lead cross-functional teams and engagement workstreams through the full Insights Framework lifecycle Ability to mentor and guide junior team members and peers

Oversee end-to-end delivery from discovery and requirements through readout and handoff. Manage engagement timelines, scope, and resource allocation. Ensure deliverables meet our company quality standards and client expectations.

Senior Analytics Consultant Required Qualifications

Experience: 8 years in analytics, business intelligence, or data strategy consulting, or a similar client-facing role

Proven track record working with large, complex organizations and their leadership teams. Experience facilitating workshops and presenting to and influencing executive leadership teams, Demonstrated success in requirements gathering, KPI and metric definition, and solution design. History of delivering complex analytics and reporting engagements on time and within scope.

Senior Analytics Consultant Technical Skills

Hands-on experience with data visualization tools (e.g., Power BI, Tableau, Looker), with a track record of dashboards that are widely adopted and actively used. Ability to define KPIs, metrics, and dimensions and trace them to underlying data sources and critical data elements.

Solid understanding of data governance, business glossaries, and metadata management. Sufficient technical fluency to bridge conversations between business and technical stakeholders, translating business needs into data requirements and vice versa. Working knowledge of cloud data platforms and modern data architectures (e.g., Microsoft Fabric, Databricks, Snowflake, AWS, Azure, GCP) Hands-on experience with data warehousing and/or BI platforms, with a solid understanding of how data is structured, stored, and surfaced to end users. Experience in data modeling techniques including dimensional modeling and entity-relationship design. Familiarity with relational database concepts and SQL. Understanding of data integration patterns and ETL/ELT processes. Familiarity with data catalog and data lineage tools (e.g., Microsoft Purview, Collibra, Alation). Proficient in Excel (pivot tables, structured information organization) and PowerPoint, with the ability to craft clear, compelling presentations that communicate complex analytical concepts to diverse audiences.

Business & Analytical Skills

Expert-level skills in business case development and ROI analysis.

Strong financial modeling and cost-benefit analysis capabilities.

Excellent problem-solving and critical thinking abilities.

Experience with change management and organizational transformation.

Communication & Soft Skills

Exceptional verbal, written, and data storytelling communication skills

Ability to document and present complex information to diverse audiences

Strong facilitation and workshop leadership capabilities. Proven ability to build trust and credibility with senior stakeholders. Collaborative mindset with excellent interpersonal skills.

Senior Analytics Consultant Preferred Qualifications

• Advanced degree in Analytics, Data Science, Business, or related field
• Industry certifications in relevant technologies (e.g., Power BI, Tableau, Microsoft Fabric, Databricks, Snowflake, cloud platforms)
• Background in data privacy regulations (GDPR, CCPA, etc.) Experience with agile project management methodologies
• Previous consulting experience with top-tier firms
• Experience with data lake and data warehouse implementations
• Background in financial services, healthcare, or manufacturing industries
• Understanding of compliance requirements (GDPR, HIPAA, SOX, etc.)
• Experience with data storytelling and data visualization best practices

Key

• Competencies
• Strong problem-solving abilities and analytical thinking
• Excellent communication skills to bridge technical and business stakeholders
• Ability to work independently and as part of a team
• Strong documentation skills
• Proactive approach to identifying and resolving issues
• Adaptability to changing requirements and technologies
• Focus on continuous improvement and innovation

Education

• Bachelor’s degree in information science, analytics, business, computer science, or a related field
• Master’s degree in data science, Business Intelligence, or AI preferred

Additional Requirements

• Ability to travel up to 50% (client sites, conferences,
• training, etc.)Willingness to work flexible hours to accommodate client needs across US time zones