Data Quality Business Analyst

Client of Eram Talent

Your responsibilities will include performing data analysis, identifying data quality issues, and recommending solutions to improve data governance. You will also work on data quality initiatives and may be involved in data profiling, cleansing, and monitoring to ensure adherence to organizational data quality standards.

Responsibilities

• Consolidate guidelines, processes and parameters for conducting business analysis in order to follow a consistent approach in the process followed for collating data and carrying out analytics.
• Support in coordinating with Technology departments through periodic meetings to understand the specific business requirements related to business analytics.
• Coordinate with different internal departments to identify the most suitable data resources to ensure effective data collection and analysis based on the requirements.
• Support in identifying potential external vendors/market research agencies etc. and coordinate with them to establish the data collection and reporting needs in order to ensure efficiency in the data collection process.
• Coordinate with external consultants/forums to keep updated with the latest developments in the Technology landscape.
• Perform data cleaning and standardisation for conducting the relevant analysis and ensures adherence to data quality standards while developing reports on procurement and logistics updates.
• Stay up to date on the latest business intelligence tools, databases, systems or methods etc. and shares insights with Master Data Quality Manager on leveraging the same for business requirements.
• Develop the requisite reports (weekly/monthly/ad-hoc) and ensures timely submission of the same to facilitate decision making.

Skills

• Strong understanding of data management principles, data governance, and data quality best practices.
• Proficient in data profiling and analysis tools (e.g., SQL, Python, or ETL tools) to assess data quality.
• Experience with data visualization tools such as Tableau, Power BI, or similar is a plus.
• Strong analytical and problem-solving skills to identify data quality issues and develop actionable solutions.
• Excellent communication skills, with the ability to work collaboratively with diverse teams and stakeholders.
• Detail-oriented with a focus on delivering high-quality results.
• Familiarity with data privacy and regulatory compliance standards is a plus.