Analyze complex and large datasets to provide insights that drive business decisions and optimize processes. Considering the data volume, needs to better than average on SQL for analyzing the datasets.
Needs to have a good understanding of building Data makes/ Data marts/ data engineering pipelines. Familiarity with ETL processes and data warehousing solutions.
Proficiency in data analytics and visualization tools. Develop and maintain data models, dashboards, and reports using analytics tools (e.g., SQL, Tableau/ Thoughtspot).
Should be able to relate the data to the business functionality and hence, knowledge of Payments would be greatly helpful.
Should be able to take a one-liner requirement and build details around it. Needs to be able to identify and define impactful metrics.
Assist in the design and implementation of data-driven solutions, working closely with developers and data engineers.
Should be able to see the big picture and break it down to smaller achievable goals.
Monitor and evaluate the effectiveness of implemented solutions and suggest enhancements.
Agile
Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
Participate in Agile/Scrum ceremonies, providing input on project scope and prioritization.
Create user stories, use cases, and process flows to facilitate communication between business and technical teams.
Experience with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Facilitate workshops and meetings to gather requirements, present findings, and provide recommendations