Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.
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 Data and Analytics Engineering team you are expected to work with data extraction, data cleansing, and data wrangling using tools like Python and SQL. As an Associate you are expected to focus on learning and contributing to client engagement and projects while developing your skills and knowledge to deliver quality work. You are expected to be exposed to clients to learn how to build meaningful client connections, manage and inspire others, and grow your personal brand by enhancing your technical knowledge of firm services and technology resources.
Responsibilities
- Work with data extraction, cleansing, and wrangling using tools like Python and SQL
- Participate in client engagement and project tasks
- Develop skills and knowledge to deliver exceptional work
- Build and maintain meaningful client relationships
- Learn to manage and inspire team members
- Expand technical knowledge of firm services and technology resources
- Contribute to the growth of your personal brand
- Adapt to changing project requirements and environments
What You Must Have
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 1 year of experience
What Sets You Apart
- Demonstrating knowledge in Python and data extraction
- Utilizing SQL and relational databases
- Data modeling and data mapping skills
- Experience with data integration tools
- Understanding systems development life cycles
- Building data pipelines with relational databases
- Analyzing large data sets and deriving insights
- Leveraging computer science fundamentals
- Utilizing agile development processes
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