Analyst – Big Data Analytics & Engineering

Bachelor’s degree in computer science, Information Systems, Finance, Statistics, or a related field.
Experience with the Apache Spark ecosystem in a production environment.
Experience working with AWS, Databricks, Redis and/or similar platforms.
Strong proficiency in SQL, Excel, and data visualization tools such as Power BI, Tableau, or similar platforms.
Experience in automation of reporting processes using scripting languages (Python) is a plus.
Ability to interpret complex datasets and present findings in a clear and concise manner.
Strong problem-solving skills, attention to detail, and ability to work under tight deadlines.
Excellent communication skills to work effectively with cross-functional teams.
Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group.

Create reports of quality and other metrics within Databricks.
Read and write Spark code using Scala.
Understand the Graph ingestion pipeline and how the data is used in production for our models and ProInsight.
Summarize findings in Confluence to verify quality or evaluate alternate paths.
Partner with various teams (i.e., Product Manager, Data Science, Engineering) on data needs/requirements in order to deliver data solutions that generate business value.
Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements.
Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth.
Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.

Experience in automation of reporting processes using scripting languages (Python) is a plus.