We are actively seeking a Hand on Data Analyst who possesses excellent organizational and planning skills, along with a proven ability to handle multiple tasks in a fast-paced environment. We are looking for someone who is highly motivated and self-driven, capable of working independently with minimal guidance or supervision. The ideal candidate will have a strong analytical mindset, utilizing metrics and data to constantly evaluate success and drive improvements in tools, content, and programs. Additionally, they should be a catalyst for change, leveraging analytics to provide deeper insights into technology estate and inform future decisions to drive banks strategy.

Job Duties and Responsibilities:

- Collaborate with various stakeholders to gain a comprehensive understanding of data content required to digitise future state architecture chapters.
- Manipulate, analyze, and interpret complex data sets related to Enterprise Architecture, such as reference taxonomies, operational assets, and metrics.
- Perform gap/Impact analysis to support different insights requirements
- Generate ad hoc reports for audiences interested in Future State Architecture using business analytics and reporting tools.
- Assist in the creation of architecture reports, dashboards, graphs, and visualizations.
- Extract and analyze large datasets, draw meaningful conclusions, and present findings to management using reporting tools.
- Identify connections between business, data, and technology within group frameworks and multiple data repositories.




- Advocate for the adoption of a standardized taxonomies across architecture, and work with different Lines of Business (LoB) and governance bodies to define and create data assets to produce architecture insights
- Support data analysis efforts across regions, IT, and transformation teams to define technology processes and streamline operations, identifying potential perks across the technology landscape.

Skills - Experience and Requirements:

The ideal candidate for the Data Analyst role should possess the following qualifications and skills:

- Candidate must come from Data warehouse background
- Proficiency in Business Intelligence, with experience using data or reporting tools
- Excellent analytical skills to manage data and drive process re-engineering initiatives
- Strong experience in data analysis and implementing solutions within the Architecture space
- Must have Hands on experience in RDBMS in any one of the databases like Teradata/ MS SQL Server/Oracle/ IBM DB2/ Mongo DB along with Data Lineage, Data integrity and Data Analysis skills
- Technical skills in technologies such as MongoDB, GCP Big Query, and knowledge of APIs.
- Previous experience in interacting with senior management and architects during client engagements
- Familiarity with Archimate, BMPN, DMN, UML is a plus
- Experience in data controls like data assurance and data quality
- Proficiency in collaboration tools like Confluence and JIRA

Should have good banking domain knowledge.

📌 Data Analyst (Pune)
🏢 Purview India Consulting And Services
📍 Pune