Position: Analytics Engineer
Company: Alcor
Experience required: 2y
English level: intermediate

We run a modern analytics data stack with Snowflake, Stitch, dbt, and Mode Analytics at the core, and are always looking to adopt new practices and technologies. Unlike legacy/siloed Data Analysts and Data Engineers, the modern Analytics Engineer role empowers you to own pipelines and produce actionable insights for business stakeholders.

Our company is backed by Insight Partners, one of the world's most prestigious technology investors (Alteryx, Shopify, Postman, Docker, Sisense, Metabase, and many others).

What you’ll be doing

Collaborate with functional stakeholders to translate needs into data initiatives
Become familiarized with the overall business model, operations, and processes
Own and facilitate new company acquisition data integrations
Connect and maintain new data sources into Snowflake warehouse/data lake
Address data or pipeline issues as they may arise
Create new data models, transformations, and data enrichment
Produce new standardized reports and metrics to inform our SaaS business
Perform ad hoc analysis to help answer a variety of questions
Develop subject-matter-expertise on data domains that are relevant to your projects
Help develop standards for analytics engineering best practices
Identify opportunities to improve data coverage and literacy across the organization


Who you are

Degree in a quantitative field (e.g. Statistics, Mathematics, Data Science, Computer Science, Economics, etc) or similar work experience
Advanced SQL knowledge
Basic knowledge of Python or R, or eagerness to learn
Experience with BI tools (e.g. Tableau, PowerBI, Mode, Looker, Google Data Studio)
Solid understanding of data modeling principles (e.g. facts and dimensions)
Highly organized and detail-oriented: you obsess about the details
Biased toward action and pragmatic: you prioritize delivering business value
Motivated self-learner: willing to acquire new skills quickly
Creative problem solver: you love finding workaround in challenging circumstances
Autonomous and resourceful: you embrace uncertainty and messy data challenges
Able to research problems and articulate proposed solutions
Fluent English speaking and writing skills to communicate with global stakeholders