Data Analyst

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.