Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
The Opportunity
As part of the Tech & Data team you are expected to build tech-enabled business solutions and communicate with both technologists and business partners. As a Senior Associate you are expected to analyze complex problems, mentor others, and maintain rigorous standards. You are expected to navigate multiple engagements, manage stakeholder expectations, and leverage data visualization tools and programming languages to derive insights.
Responsibilities
- Build tech-enabled business solutions
- Communicate effectively with technologists and business partners
- Navigate multiple engagements and manage stakeholder expectations
- Leverage data visualization tools and programming languages
- Mentor and guide junior team members
- Maintain exceptional standards in deliverables
- Analyze complex problems and provide actionable insights
- Build and nurture meaningful client relationships
What You Must Have
- Bachelor's Degree in Accounting, Economics, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Finance, Business Administration/Management, Management Information Systems
- 3 years of experience
.
What Sets You Apart
- Master's Degree preferred
- Certifications in database programming such as Oracle, MS SQL Server, etc. and/or data visualization certifications such as Tableau and PowerBI
- Certifications within cloud technology platforms such as AWS, Azure, GCP, etc.
- Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc.
- Experience with relational database models and writing SQL queries
- Proficiency with data visualization tools (e.g. QlikView, Tableau, Power BI)
- Understanding of key financial statements and accounting principles
- Critical thinking and problem-solving capabilities
- Ability to navigate multiple engagements and competing priorities
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