Job Description
Are you a professional who is passionate about data and can work collaboratively in a dynamic and evolving work environment? Successful candidates will thrive in this fast-paced data-centric team.
Working with one of the top financial clients, this role calls for a Data Analyst – Python Coding who will be responsible for the remediation of large unstructured and structured data to ensure accuracy and consistency across various source systems. This candidate will identify and seek opportunities to automate and streamline data reconciliation, remediation, and business processes, using tools such as Python and RPA.
Responsibilities:
Achieve an exceptional standard of error-free data processing to mitigate risk to the client (i.e. reputational, financial, regulatory, operational risk)
Empathize and resolve challenges with business partners across the bank by understanding their data needs
Achieve business objectives by completing project-based tasks in a timely and accurate manner,
Help build a positive, diverse and equitable work environment by promoting team effectiveness with transparency and accountability
Build and maintain strong working relationships with business partners and internal stakeholders
Demonstrate the client’s Framework and shared commitments in daily activities
Desired Skill Set:
3 years of experience in Data remediation, analysis, interpretation, visualization and communication
3 years of experience with Intermediate – Advanced Excel
3 years of hands-on experience with Python
Strong communication skills, verbal & written
Nice To Have:
Proficient in Alteryx
Hands-on experience with Bloomberg and Dremio
Extensive experience in the Microsoft Power Platform – MS Power Apps, Power Automate, DataVerse
Working knowledge of ETL
GoldTier experience
Exposure to UI Path