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 Managed Data, Analytics & Insights team you are expected to design and implement innovative solutions to build and manage the advanced Data ecosystem. As a Senior Associate you are responsible for analyzing complex problems, mentoring others, and maintaining top standards. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency.
Responsibilities
- Designing and implementing innovative data solutions
- Building and managing advanced data ecosystems
- Analyzing complex problems and developing solutions
- Mentoring and guiding junior team members
- Maintaining exceptional standards in deliverables
- Building and nurturing client relationships
- Developing a deeper understanding of business contexts
- Navigating complex situations to deliver quality work
What You Must Have
- Bachelor's Degree
- 10 years of experience
What Sets You Apart
- Bachelor's Degree in Computer and Information Science, Information Technology preferred
- Certification in industry-leading tools or technology for Data and Analytics
- Leading data architecture and design implementations
- Building advanced Data warehousing solutions
- Delivering Managed Data and Analytics programs
- Designing scalable data structures and pipelines
- Building streamlined ETL/ELT processes
- Maintaining Data Governance solutions
- Experience with Data analytics tools
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