Data Analyst working with data analysis and design for a growing ADS within the Bank. Collaborating with global teams to analyze diverse data sources and provide innovative solutions.
Responsibilities
Data Analysis and design for a growing ADS within the Bank.
Write complex queries, joins, window functions using SQL.
Work with multiple, diverse data sources and multiple database systems (Oracle, MS SQL Server, Mongo DB etc.).
Be hands-on on Data Controls for the application.
Learn new frameworks and tools and help with adoption in the application.
Create visualizations such as charts and graphs to communicate their findings to stakeholders, making data accessible and understandable.
Building Proofs of Concepts to determine fitness of solution.
Deliver demos/walk throughs of PoC to stakeholders.
Identify improvement areas within the application and work to implement the same.
Demonstrate flexibility in adapting to team requirements.
Ensure high quality levels in all deliverables.
Participate in mandatory training and cross functions across team.
Demonstrate enthusiasm and zeal to acquire domain knowledge.
Work efficiently in matrix organization, with India and USA leadership.
Actively involved in process improvements and automations.
Be a key contributor to initiatives that require analytical expertise.
Provide innovative solutions to problems and drive the design/development of components.
Effectively deal with multiple deadline-driven tasks and customers.
Requirements
B.E. / B. Tech/M.E. /M. Tech/B.Sc./M.Sc./BCA/MCA (prefer IT/CS specialization)
Experience Range: 8+ years
Experience in data analysis, in a fast-paced environment.
Proficiency in SQL (writing complex queries, joins, window functions).
Experience with multiple database systems (Oracle, MS SQL Server, Mongo DB etc.).
Strong problem-solving skills and critical thinking ability.
Knowledge of ETL processes and data warehousing.
Proficient with Microsoft Excel
Strong data analysis skills and communication with ability to present the findings to Business users.
Understanding of the business context and ability to derive insights to drive business value.
Strong experience in handling Data Quality, Data Integrity controls, Data Lineage
Familiarity with data visualization tools (e.g., Tableau, Power BI etc.).
Working knowledge of Python for data manipulation (Pandas, NumPy, etc.).
Proficiency in Statistic analytics, data mining, and data visualization tools (e.g., SQL, Python, R Tableau, Power BI).
Experience on Data Quality tools such as Collibra preferred.
Experience on Climate Risk domain preferred
Experience in Finance and Banking domain.
Benefits
Competitive benefits to support physical, emotional, and financial well-being.
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