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Senior Analytics Developer - Remote

Posted 2 days ago
Data Analysis
Full Time
Worldwide
$82,000 - $151,000 CAD/year

Overview

SOCi, the CoMarketing Cloud for Multi-Location Enterprises, is currently looking for an experienced Senior Analytics Developer 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.

Senor Analytic Developers 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.

In Short

  • 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.

Requirements

  • Hybrid Opportunity: This role is fully remote until our Vancouver, BC office is established. Once the office is in place, it will transition to a hybrid model, with a 50/50 split between remote and in-office work.
  • 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 using declarative programming (dbt, Snowflake Dynamic Tables, SQLMesh).
  • Strong knowledge of data modeling, schema design, and data governance principles.
  • Experience with “Data Hub” or equivalent open source data catalog platform is a plus.
  • 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.

Benefits

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

SOCi

SOCi

SOCi is a rapidly growing technology company recognized as one of the fastest growing firms in America, consistently ranking in the top tier of the Inc 5000 list. The company specializes in providing an award-winning enterprise SaaS marketing platform designed to address complex marketing and workflow challenges for national and global multi-location brands. With a commitment to client success, SOCi serves hundreds of the world's largest brands, offering innovative solutions that enhance social media management and drive business results. The company fosters a collaborative and dynamic culture, empowering its team to work cross-functionally and optimize productivity in a fast-paced environment.

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