Data Analyst

Data Analyst (Data profiling &amp; Reporting) Education Qualification:<br />Bachelor's degree in Computer Science, Statistics, Mathematics, Economics, Business Analytics, Information Systems, or a related field.<br />Experience: 5+ Years of IT Experience as Data Analyst or in a similar role.<br />Proven experience in data requirements gathering, data profiling, and data analysis.<br />Experience with data quality management and data governance principles.<br />Technical Skills: Expertise in data profiling and Data Modeling.<br />Experience with data visualization tools (e.g., Tableau, Power BI, Qlik Sense, Google Data Studio).<br />Solid understanding of database structures, data warehousing concepts, and ETL processes.<br />Proficiency in SQL for data querying and manipulation.<br />Proficiency in Microsoft Excel (advanced functions, pivot tables).<br />Adept in translating business requirements into technical specifications.<br />Strong organizational skills and ability to manage multiple tasks concurrently.<br />Collaborative mindset and ability to work effectively in a team environment.<br />Ability to facilitate discussions and build consensus among diverse stakeholders.<br />Adept in Agile and Waterfall methodologies, known for delivering complex projects on time and enhancing efficiency.<br />Ability to work independently and collaboratively in a fast-paced environment.<br />Excellent analytical, problem-solving, and critical-thinking skills.<br />Excellent verbal and written communication skills, with the ability to present complex information clearly.<br />Good to Have: Experience with statistical programming languages (e.g., Python, R).<br />Experience analyzing data from project management software (e.g., Jira, Microsoft Project, ServiceNow).<br />Experience with cloud-based data services (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery).<br />Certification in data analytics or relevant technologies.<br />Key Responsibilities: Collaborate with business stakeholders to elicit, analyze, and document data requirements for new business capabilities, functional enhancements, and reporting solutions.<br />Create, define, and document detailed requirements for data integration, migration, and transformation processes, including current-to-future state mapping and non-functional requirements.<br />Perform comprehensive data profiling and availability analysis by engaging with Subject Matter Experts (SMEs) and business representatives to understand existing data landscapes and sources.<br />Evaluate the quality of data, identify and interpret trends, patterns, and anomalies within complex datasets.<br />Define and document data quality rules for critical data elements .<br />Collaborate with data quality analysts and business stakeholders to implement strategies for data quality improvement and monitor their effectiveness.<br />Facilitate data harmonization discussions with global business stakeholders to ensure consistency and alignment of data definitions and usage.<br />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.<br />Develop, maintain, and update data dictionaries , business glossaries , and metadata repositories for assigned data domains.<br />Participate in data testing and validation activities to ensure data accuracy, integrity, and fitness for purpose of solutions and reports.<br />Effectively communicate analytical findings, insights, and recommendations to both technical and non-technical audiences.<br />Work closely with cross-functional teams including business users, IT, data engineers, and project managers.<br /><br />#J-18808-Ljbffr