Senior Consultant - Digital Services (52794)

Citrin Cooperman

Remote2w ago

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Key details

Salary
$70K–$125K/yr
Location
Remote
Work style
Remote
Level
Senior
Job type
Full-time
Experience
3–5 yrs
Function
Operations & Strategy
Focus area
other
Posted
2w ago

Skills

azurebusiness intelligencedata analysisdata engineeringdata governancedata modelingexcelpower bisnowflakesql

About the role

We are seeking a purpose-driven and technically skilled Senior Consultant to join our Data & AI Consulting team. This role is ideal for a data professional who thrives at the intersection of analytics, engineering, and strategy—and who is passionate about using data to solve real-world problems and drive meaningful outcomes for clients.

Key Responsibilities:

  • 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—connecting analytics to broader business and social outcomes.

Qualifications

  • 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.

Preferred Experience:

  • Experience supporting AI readiness initiatives or data governance programs.

  • Exposure to technical pre-sales, client delivery, or cross-sector consulting.

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