Education Qualification:
Bachelors degree in Computer Science Statistics Mathematics Economics Business Analytics Information Systems or a related field.
Experience:
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.