Addepar - Technical Data Analyst
Requirements
• Minimum 2+ years experience working in technology and finance • Fluent in English • Experience working with colleagues spread across multiple global locations • Proficient in Python programming language and well versed in ETL concepts • Understands financial markets and has experience with financial products and portfolio data • Excellent written and oral communication skills with the ability to convey complex information in an understandable manner • Solution-oriented and passion for problem solving • Highly organized, close attention to detail and driven to make processes more efficient • Positive attitude, good work ethic, proactive and a high contributing teammate • Independent, adaptable and can work with minimum supervision • Proven ability to manage expectations and provide regular updates to the project team • Our Values • Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes. • Act Like an Owner - • Build Together - Collaborate to unlock the best solutions. Deliver lasting value. • Build Together - • Champion Our Clients - Exceed client expectations. Our clients’ success is our success. • Champion Our Clients - • Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry. • Drive Innovation - • Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. • Embrace Learning -
Responsibilities
• Convert, migrate and validate data from external or internal sources using existing tooling with defined processes and workflows • Complete data projects on-time meeting project deadlines while adhering to high quality standards • Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations • Run python ETL scripts and at times modify, fix or debug as needed • Raise keys issues to project team members and senior leadership as necessary • Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line • Adhere to project management standard processes • Identify and drive opportunities to improve current processes, workflows and tools to increase efficiency and automation.
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