Job Description:

Responsibilities of the Analytics Engineer:

• Integration of data from multiple data sources
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Hands on development of Tableau dashboards using multiple data sources
• Create and maintain optimal data pipeline architecture especially around accounting and financial systems
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Conceptualize and design the best fit solution against desired requirements for data delivery
• Work with stakeholders including the Managers, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Skills and Experience of the Analytics Engineer:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• 2+ years of experience in Business Intelligence and Data Visualization tools and techniques with Tableau
• 2+ years of experience in an analytics Engineer role
• Experience with relational SQL databases, including SQL server and Postgres.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with Tableau or comparable experience with other BI visualization tool such as QlikView or Domo
• Experience with any object-oriented/object function scripting languages: C#, Python, Java, C++, Scala, etc.
• Preferred experience with big data tools: Hadoop, Spark, Kafka, etc.
• 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.

Requirements:

Snowflake, Tableau, Python, SQL