Analytics Implementation Lead

We are seeking an experienced Analytics Implementation Lead with 5+ years of experience to drive the implementation and democratization of analytics across various service lines in our professional services firm. The ideal candidate will bridge business needs with robust data ecosystems, leveraging technical expertise and exceptional communication skills to deliver impactful analytics projects.

Key Responsibilities

Business Translation to Data Ecosystem

: Understand the nuances of business operations across service lines and translate them into scalable, efficient data ecosystems that drive actionable insights.

Data Structure and Tool Proficiency

: Design and optimize data structures to support analytics initiatives. Hands-on experience with analytics tools and platforms (e.g., SQL, Python, Tableau, Power BI) is highly preferred.

Project Delivery and Engagement

: Lead end-to-end analytics project delivery, ensuring alignment with business objectives. Act as a compelling orator to engage stakeholders, present insights, and foster adoption of analytics solutions.

Democratization of Analytics

: Champion the adoption of analytics across service lines by developing user-friendly tools, dashboards, and training programs to empower non-technical stakeholders.

Collaboration

: Work closely with cross-functional teams, including business leaders, data engineers, and IT teams, to ensure seamless integration and implementation of analytics solutions.

Continuous Improvement

: Stay updated on industry trends and emerging analytics technologies to enhance the firm's analytics capabilities.

Qualifications

Experience

: 5+ years of experience in analytics, data science, or a related field within a professional services or consulting environment.

Technical Skills

Strong understanding of data structures, databases, and data modeling.

Proficiency in analytics tools such as SQL, Python, R, Tableau, or Power BI is preferred.

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) is a plus.

Business Acumen

: Proven ability to understand business processes and translate them into data-driven solutions.

Communication

: Exceptional presentation and storytelling skills to engage diverse audiences and drive analytics adoption.

Education

: Bachelor’s degree in data science, Computer Science, Business Analytics, or a related field. Advanced degrees or certifications in analytics are a plus.

Soft Skills

: Strong problem-solving skills, stakeholder management, and the ability to work in a fast-paced, collaborative environment.