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Key job responsibilities
An ideal candidate for this role:
· Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies· Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format· Will draw inferences and conclusions, create dashboards and visualizations of processed data
· Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately
. Will be very comfortable juggling competing priorities and handling ambiguity
A day in the life
As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.
- 1+ years of tax, finance or a related analytical field experience
- 2+ years of complex Excel VBA macros writing experience
- Experience defining requirements and using data and metrics to draw business insights
- Experience with SQL or ETL
- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- Experience using very large datasets
- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages
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