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Senior Analytics Engineer

Circle Internet Services Inc.

Toronto

Remote

USD 142,000 - 177,000

Full time

22 days ago

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Job summary

An established industry player is seeking a seasoned analytics engineer to transform raw data into strategic insights. This role involves leading high-impact projects, mentoring team members, and establishing data frameworks that drive critical business decisions. The ideal candidate will possess strong SQL and Python skills, with a proven track record in data pipeline optimization and quality assurance. Join a dynamic and growing team that values flexibility and innovation, where your contributions will significantly impact the organization's success and data-driven culture.

Benefits

Unlimited PTO
Generous Parental Leave
Wellness Days
Wellness Reimbursement
Cleo for New Parents

Qualifications

  • 5+ years in analytics engineering or data roles with software engineering exposure.
  • Advanced proficiency in SQL and programming skills in Python or similar.

Responsibilities

  • Lead projects to enhance data availability and quality across the organization.
  • Mentor junior team members and establish best practices in analytics.

Skills

SQL
Python
Data Pipeline Optimization
Analytics Schema Design
Data Quality Frameworks
Problem Solving
Technical Communication

Education

Bachelor's Degree in a Technical Field
Advanced Degree

Tools

Snowflake
Mode
dbt

Job description

Protect yourself from fraudulent recruiters targeting CircleCI job seekers.

Regardless of location, we prioritize the health and wellness of our employees and their families. In addition to unlimited PTO, we offer generous parental leave and benefits that can cover employees and dependents up to 100%. We also offer quarterly wellness days, wellness reimbursement, and Cleo for new parents.

Growth
Flexibility

What does it mean to work at CircleCI? For us, flexibility is key.

Seeking a seasoned data expert to drive transformation of raw data into strategic business insights at CircleCI. As our Senior Analytics Engineer, you'll elevate our analytics discipline by applying advanced engineering practices, mentoring team members, and establishing data frameworks that power critical business decisions across the organization.

About the Team

The Analytics Engineering team sits at the critical intersection between data platform engineering and business analysis. We apply rigorous software methodologies to analytics code, transforming raw data into accessible business intelligence. Our team builds quality-assured workflows, documents business logic, and optimizes data models in production environments. We're a growing team passionate about accelerating analytics processes while maintaining exceptional data quality through deep business understanding and engineering excellence.

What you'll do
  • Lead high-impact projects that enhance data availability, quality, and accessibility across the organization
  • Serve as a technical authority for analytics, establishing best practices and guiding implementation
  • Design and implement scalable data models that address complex business requirements
  • Mentor junior team members and collaborate cross-functionally to elevate data literacy
  • Spearhead data quality initiatives and champion testing frameworks
  • Help architect the data and analytics strategy, evaluating new technologies and driving adoption
  • Proactively identify opportunities to leverage data for business growth and operational efficiency
Who you are
  • You bring 5+ years experience in analytics engineering or data roles with significant exposure to software engineering practices
  • You demonstrate advanced proficiency in SQL with strong programming skills in Python or another high-level language
  • You have deep expertise in analytics schema design and data pipeline optimization
  • You've implemented comprehensive data quality frameworks and testing methodologies
  • You have extensive experience with Snowflake, Mode, dbt, and modern data stack technologies
  • You hold a bachelor's degree in a technical or quantitative field (advanced degree a plus)
  • You solve complex problems with a strategic mindset while maintaining attention to detail
  • You excel at translating technical concepts for non-technical stakeholders and building consensus
  • You balance thoughtful planning with pragmatic execution, consistently delivering high-value solutions
  • You demonstrate thought leadership in analytics engineering, staying current with industry developments
  • You navigate ambiguity effectively and drive results in fast-paced environments

United States Base Pay Range: $142,000 — $177,000 USD

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About CircleCI

CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.

Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

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