Job Description

Education Qualification :
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or a related field.

Experience :

• 10+ Years of IT Experience as Data Analyst or in similar role.

• Proven experience in data requirements gathering, data profiling, and data analysis.
• Experience with data quality management and data governance principles.

Technical Skills:

• Expertise in data profiling and Data Modeling.
• Experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense, Google Data Studio).
• Solid understanding of database structures, data warehousing concepts and ETL processes.
• Proficiency in SQL for data querying and manipulation.
• Proficiency in Microsoft Excel (advanced functions, pivot tables).
• Adept in translating business requirements into technical specifications.
• Strong organizational skills and ability to manage multiple tasks concurrently.
• Collaborative mindset and ability to work effectively in a team environment.
• Ability to facilitate discussions and build consensus among diverse stakeholders.
• Adept in Agile and Waterfall methodologies, known for delivering complex projects on time and enhancing efficiency.
• Ability to work independently and collaboratively in a fast-paced environment.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Excellent verbal and written communication skills, with the ability to present complex information clearly.

Good to Have:

• Experience with statistical programming languages (e.g., Python, R).
• Experience analyzing data from project management software (e.g., Jira, Microsoft Project, ServiceNow).
• Experience with cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery).
• Certification in data analytics or relevant technologies.

Key Responsibilities:

• Collaborate with business stakeholders to elicit, analyze, and document data requirements for new business capabilities, functional enhancements, and reporting solutions.
• Create, define, and document detailed requirements for data integration, migration, and transformation processes, including current-to-future state mapping and non-functional requirements.
• Perform comprehensive data profiling and availability analysis by engaging with Subject Matter Experts (SMEs) and business representatives to understand existing data landscapes and sources.
• Evaluate the quality of data, identify and interpret trends, patterns, and anomalies within complex datasets.
• Define and document data quality rules for critical data elements .
• Collaborate with data quality analysts and business stakeholders to implement strategies for data quality improvement and monitor their effectiveness.
• Facilitate data harmonization discussions with global business stakeholders to ensure consistency and alignment of data definitions and usage.
• Support data governance initiatives by participating in discussions, defining data standards, and assisting business stakeholders in understanding and adhering to governance policies for key data attributes.
• Develop, maintain, and update data dictionaries , business glossaries , and metadata repositories for assigned data domains.
• Participate in data testing and validation activities to ensure data accuracy, integrity, and fitness for purpose of solutions and reports.
• Effectively communicate analytical findings, insights, and recommendations to both technical and non-technical audiences.
• Work closely with cross-functional teams including business users, IT, data engineers, and project managers.

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