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Senior Analytics Engineer

Vancouver, Canada (Remote)

SOCi, the CoMarketing Cloud for Multi-Location Enterprises, is currently looking for a Senior Analytics Engineer to lead the development of data pipelines, transformations, data models, and analytic products in our data lake. You will represent the data team as a subject matter expert, and data model spokesperson, demonstrated by your ability to answer business questions quickly and accurately from the data lake. The role develops strategic data and analytic products by bridging the gap between the business, data analytics, and data engineering. 

Senior Analytic Engineers support our analyst community with robust, efficient, trustworthy data models and analytical best practices. The role will contribute to developing, optimizing and maintaining our data lake infrastructure, ensuring data is accessible, accurate, documented, and primed for business insights. This is a hands-on technical role designed for someone who is passionate about data and eager to learn and grow in a fast-paced environment.

Who We Are

SOCi is one of the fastest growing technology companies in the United States, ranking on the Inc. 5000 Fastest Growing Companies in America list for the last seven consecutive years.  The leader in AI-powered marketing solutions for multi-location businesses, SOCi is trusted by nearly 1,000 top brands including Ford, Ace Hardware, Kumon, Liberty Tax, and more. At SOCi, our vision is to empower people to do what they love by providing intelligent software that can do the rest. SOCi provides a first-of-its-kind, AI-powered digital workforce capable of handling the workload of 1,000 local marketers, empowering brands to achieve unmatched digital visibility, strengthen customer engagement, and scale faster than ever before. View more on our Awards & Accolades here! 

How You’ll Make an Impact

  • Own the relationship with one or more business team stakeholders for the data team
  • Collaborate with business teams to identify, document and develop analytic solutions
  • Collaborate with data analysts, engineers and other stakeholders on data lake models
  • Develop and maintain data pipelines collecting data from various source systems
  • Develop and maintain data model transformations for use in analytic models
  • Ensure data accuracy, quality and consistency with monitoring and validation processes
  • Maintain our data catalog, and document data pipelines, transformations and models
  • Monitor, and respond to production incidents in the data lake
  • Optimize queries, and data engineering activities for performance and cost
  • Assist in implementing data governance and security best practices
  • Document processes, workflows, and data definitions to support knowledge sharing
  • Guide user story breakdown sessions, and contribute to quarterly planning sessions
  • Provide mentorship and coaching to junior analytics engineers

What You’ll Need to be Successful

  • Hybrid Opportunity: Ability to work remotely, with potential hybrid configuration at later date 
  • Must Have:  
    • 5+ years of experience working with cloud based data engineering platforms (Airflow, FiveTran, Stitch, etc.)
    • Expert-level proficiency in SQL and hands-on experience with cloud-based data warehouse platforms (e.g., Snowflake, Redshift, BigQuery)
    • Proficiency building transformations and data models with dbt (cli preferred)
    • Strong knowledge of data modeling, schema design, and data governance principles.
    • Proficiency in programming languages such as Python or Java.
    • Demonstrated experience optimizing performance and managing complex datasets
    • Excellent leadership and communication skills, with a proven ability to mentor and guide team members
    • Willing to adapt to changes in the job description as deemed necessary by the business and accept all other duties as assigned
  • Desired Skills (but not required):  
    • Familiarity with implementing or using a “data vault” data modeling pattern
    • Familiarity with modern cloud BI tools (e.g., Tableau, ThoughtSpot, Looker)
    • Experience with “Data Hub” or equivalent open source data catalog platform
  • Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field preferred

What SOCi Provides to You

  • Comprehensive Benefits Package (non-contract roles only)
    • Health insurance plans, dental, and vision
    • Wellness incentives
    • 401(k) plan with employer match
  • Flexible Work Environment 
    • Flexible paid time off (non-contract roles only)
    • Quarterly wellness days
    • Paid holidays
    • Unique employee engagement programs 
  • Empowering Career Growth and Success 

What’s Important at SOCi

Led by a team of industry experts, SOCi is leading the pack in Localized Marketing for Multi-Location brands. Our passionate team of SOCialites work from home around the globe! 

Our collaborative, dynamic culture allows our teams to work cross-functionally and optimize productivity. We are a fast-paced, agile environment where thought leadership and input are encouraged. If you are looking for a place where you can come and make a difference in the way enterprise organizations utilize social technology, then SOCi is for you. Visit soci.ai for more information.  

SOCi is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law. Please note that if selected for a position at SOCi, you will be required to complete an E-Verify check to confirm your eligibility to work in the United States (if applicable).

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