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An innovative and forward-thinking company is seeking a talented Data Analyst to support the design and maintenance of performance metrics and dashboards. This role involves conducting deep dive analyses to drive key business decisions and operational efficiency. The ideal candidate will leverage advanced data modeling techniques and AWS solutions to enhance reporting standards and automate data-driven activities. If you are passionate about data and eager to make a significant impact in a dynamic environment, this opportunity is perfect for you.
- Support the design, development, and maintenance of ongoing performance metrics, reports and dashboards to drive key business decisions
- Support deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
- Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to drive operational efficiency and growth opportunities
- Enhance intelligence frameworks and analyses using advanced data modelling techniques
- Establish reporting standards and engage data engineering to deliver automated solutions, where possible
- Simplify and automate reporting and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Leverage Amazon infrastructure and tools to improve back-end data sources for increased accuracy and simplicity
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in Statistical Analysis packages such as R, SAS and Matlab