Senior Consultant – Digital Services

Citrin Cooperman

. Deliver client-facing projects focused on data analytics, visualization, engineering, and governance .

Posted 10/2/2026full-timeRemote • United StatesSenior💰 $70,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics, business intelligence, and data engineering, with a strong focus on delivering client-facing projects and supporting AI readiness initiatives. Proficient in translating complex business challenges into actionable insights and collaborating with cross-functional teams to implement scalable data solutions.

Highest-signal resume keywords

Data AnalyticsBusiness IntelligenceData EngineeringPower BISQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceData EngineeringSQLExcelData GovernanceDashboard DevelopmentData ModelingCloud Data PlatformsAI Readiness

Soft Skills

Strong CommunicationMentoringCollaborationAdaptability

Tools & Technologies

Power BIAzureSnowflakeCloud ToolsBI Tools

Industry Keywords

Data Governance FrameworksTechnical Pre-SalesClient DeliveryCross-Sector Consulting

Tech Stack

Tools & technologies

AzureCloudSQL

About the role

Key responsibilities & impact

Deliver client-facing projects focused on data analytics, visualization, engineering, and governance
Help organizations build strong data foundations to support responsible AI adoption and long-term value creation
Translate complex business challenges into actionable insights through dashboards, reports, and data models
Collaborate with cross-functional teams to design and implement scalable data solutions using modern BI and cloud tools
Support technical pre-sales efforts, including discovery sessions, solution design, and proposal development
Contribute to internal knowledge sharing, mentoring, and capability development within the Data & AI practice
Apply data as a tool for impact by connecting analytics to broader business and social outcomes

Requirements

What you’ll need

3–5 years of experience in data analytics, business intelligence, or data engineering, preferably in a consulting environment
Proficiency in Power BI, SQL, and Excel
Familiarity with cloud data platforms (Azure/Fabric, Snowflake) and data governance frameworks
Strong communication skills with the ability to explain technical concepts to non-technical stakeholders
Demonstrated ability to work across industries and adapt to diverse client needs
Experience supporting AI readiness initiatives or data governance programs
Exposure to technical pre-sales, client delivery, or cross-sector consulting