Job Description
Insight Global is seeking a hybrid Business Analyst / Data Analyst for one of their premier financial services clients in Bengaluru. This person will sit within the Data and Analytics Data Trust team & will play a pivotal role in bridging the gap between business needs and technical solutions, with a strong emphasis on data governance and data management. This role is responsible for ensuring the data assets are effectively governed, secure, and aligned with business objectives with a specific focus on supporting the capture of data lineage across the technology estate.
The successful candidate will be expected to be responsible and accountable for:
Collaborating with business and technical stakeholders to gather, document, and analyse requirements for data-related projects and initiatives
Designing, implementing, and maintaining data governance frameworks, policies, and procedures to ensure compliance with data policy
Performing data analysis to identify trends, patterns, and insights that support the generation of the Data Trust data assets
Developing and maintaining data dictionaries, metadata repositories, and documentation to support data governance initiatives
Facilitating the creation of data models and ensuring alignment with business needs and technical capabilities
Monitoring and enforcing compliance with data governance standards.
Acting as a liaison between business units and IT teams to ensure seamless integration of data solutions and governance practices
Supporting the development and implementation of data management tools, processes, and workflows to enhance data accessibility and usability
Providing training and guidance to stakeholders on data governance best practices and data management protocols
Contributing to the continuous improvement of data governance and management strategies through regular audits and process reviews
Must Haves:
Experience in a Business Analyst and/or Data Analyst role with a focus on data governance, data management, and/or data quality
Strong technical understanding of data systems, including databases (e.g., SQL), data modelling, and data integration tools
Proficiency in data analysis tools and techniques (e.g., Python, R, Excel, or similar)
Experience in developing and implementing data governance frameworks, policies, or standards
Strong understanding of regulatory compliance requirements related to data (e.g., GDPR, DORA, or industry-specific regulations)
Experience with data governance tools (e.g., Collibra, Informatica, Solidatus)
Familiarity with cloud-based data platforms (e.g., Azure, AWS, Google Cloud) & modern data platforms (e.g. Snowflake, Databricks, Azure Data Lake)
Knowledge of data visualization tools (e.g., Tableau, Power BI) to present insights effectively
Plusses:
Familiarity with Agile methodologies and tools (e.g., Jira, Confluence) and experience working in Agile environments
Experience working in financial services or other regulated industries
Understanding of machine learning or advanced analytics concepts
Professional certifications in business analysis (e.g., CBAP, CCBA), data analysis, or data governance (e.g., DAMA CDMP, CISA)
Advanced degrees (e.g., Masterโs in Data Science, Business Analytics, or related fields)