To be successful in this role, you should have demonstrated experience in designing, implementing and executing SQL, DAX, and M Queries. You should also have a talent for improving business processes. You'll be responsible for bridging data and business requirements, asking insightful questions and mining the answers. This role plays an important part in leading projects and influencing cross-functional teams such as Business Intelligence, Data Science, Operations, Finance and Treasury.
Responsibilities:
Understand business requirements from various stakeholders and plan a solution to address data requirements
Collect, refine, and prepare data for analytics and visualization
Develop, design, and maintain Power BI dashboards, SQL Queries, and analytics
Define new KPIs and analyze them to form actionable recommendations
Present to business leaders in both ad-hoc forums and routine business review to drive strategic decision making.
Identify new data functionalities or enhancements needed to support better decision making and business growth.
Solve any data or performance issues related to workbooks and data source
Experience:
Candidate should have hands on experience with end to end development of data modeling, and leveraging power query and DAX.
Simply working on a team adjacent to data modeling, or managing a data modeling team is not sufficient.
You have a Degree in a Quantitative field +5yrs of relevant experience
Possess a strong proficiency in SQL, Excel, and building dashboards with using BI Tools such as Power BI
Can read an ETL pipeline and collaborate with Data and Software Engineers
Can design new metrics and collaborate with Data Scientists
Can lead projects independently and collaborate with Operations, Finance
Successfully influence without authority
Have strong verbal and written communication skills; you know how to work with individual contributors and senior leaders
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