Data Analyst

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 a 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. #J-18808-Ljbffr