Data Analyst  

· Create an optimal data pipeline architecture and recommend ways to improve data reliability, efficiency, and quality.

· Assemble large, complex data sets that meet functional / non-functional business requirements.

· Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

· Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

· Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

· Work with data and analytics experts to strive for greater functionality in our data systems

· 1-2 Years in working experience

· Knowledgeable in Linux Operating System.

· Knowledgeable in Microsoft PowerBI OR Amazon Quicksight.

· (Good to have) Knowledge in automation.

· Plus if knowledgeable in Amazon Data Analytics & Visualization.

· Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

· Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.

· Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

· Strong analytic skills related to working with unstructured datasets.

· Ability to work with deadlines and under time constraints

· Good communication skills to present information to the stakeholders