Job Description
Data Analyst (Data profiling & Reporting) Education Qualification :
Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or a related field.
Experience :
- 5+ 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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