Description The Job…We are looking for an Analytics Engineer to help us build tools and processes to democratize access to data throughout the analytics organization and beyond.
You will work cross-functionally with many teams within the organization to understand their data needs.
You will work with the data engineering team to design and maintain scalable, secure, and reliable data solutions across our operational and analytics systems.
This will involve building data models and pipelines to integrate data sources using a variety of languages and tools.The ideal candidate is eager to learn and driven toward finding excellent solutions to complex problems with an exciting, fun and passionate team!
The Analytics Engineer will support our developers, data scientists, business intelligence analysts, machine learning engineers, and more in ensuring consistent, accurate data delivery.
This is a great opportunity to expand your technical skillset and grow into a data engineer, ML software engineer, data scientist, or more.
You…Work with stakeholders to assist with data-related technical issues and support their data needsApply security best practices to ensure that data is appropriately protectedDevelop Data Marts, Metrics Catalogues, and Feature Sets to support analytics activitiesBuild and maintain data modelsCreate tools for monitoring data quality and generating alertsIdentify, design, and implement internal process improvements: automating manual processes, re-designing infrastructure for greater scalability, etc.Root cause analysis on data integrity and pipeline issuesRequired Skills:Fluent in English (written and spoken)Authorized to work in the CR SQL relational databases and data warehouses – you are comfortable writing SQL includingProgramming using PythonGrouping and window functionsUnderstanding of data modeling best practicesSource control systems: git, GitHubWorking with unstructured or semi-structured datasetsFundamental programming skillsPreferred Skills (3+ of the following):Programming using Python and RComfortable on UNIX command lineAutomated workflows and CI/CD tools: Airflow, Argo, Jenkins, etc.Container-based deployments using Docker and KubernetesAmazon Web Services: S3, EC2, ECR, ELB, RDS, DynamoDB, etc.Ability to optimize SQL queries for high performanceEducation and Background:Bachelor's degree, or higher, in Computer Science or other STEM fieldMin 2+ years of relevant experience (internship experience is OK),Candidates with greater education and experience will be considered for job levels with more seniority (Analytics Engineer 1 – 5)Personal Characteristics:Strong analytical and problem-solving skillsTop-notch communicationTeam-oriented but able to complete tasks independently at a high standardStructured, organized, and detail-orientedProactive, enthusiastic, and flexibleFluency in English, both in oral and written formAbility to take projects from conceptualization to implementationMust be legally able to work in the United StatesProactively interacts with area experts to gain more knowledgeProactively seeks opportunities to assist othersConstructively confronts negative attitudes and stops gossip within the teamClearly communicates complex ideas and issuesEffectively writes reports and sends out communicationsCreates and gives effective presentationsSchedules and runs effective meetingsDocuments processes of intermediate complexityProvides recommendations on process changes