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Senior Analytics Engineer 1

The Farmer's Dog LogoThe Farmer's Dog
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About The Growth Team

  • We have five principles that describe our approach:
  • Holistic thinking: We know that nothing exists in a silo.
  • Disciplined prioritization: We need to bring perspective, clarity and guidance to the team.
  • Data-driven decision-making: We use first principles and are skeptical. We establish context.
  • Proactive collaboration: We build vast common knowledge and encourage synchronous, streamlined work from our colleagues and diversity in problem-solving.
  • Execute for impact: We are responsible for the growth of the business and the perception of our brand. We are resilient, accountable and relentless.

Where You'll Come In

The Farmer’s Dog is looking for an accomplished Analytics Engineer to join our growing team. Analytics Engineering is the cornerstone of reliable, accessible, and delightfully usable data - focused on developing user-friendly data products and frameworks to accelerate data-informed decision making. Your focus will be conceiving of, developing, and shipping data products that make analysis and insight-generation fast, repeatable, and easy. If you have a genuine love for data, thorny problems, building data products for internal stakeholders, and (of course) dogs - this role is for you!

How You'll Make An Impact

  • Lead and oversee the design, development, and implementation of analytics engineering solutions by ensuring they align with business objectives and standard methodologies.
  • Develop, design and optimize data pipelines, and data models, data workflows and queries to extract valuable insights from complex and large-scale datasets while ensuring efficient and reliable data processing.
  • Act as a subject matter expert, providing expert-level advice and guidance on complex data analytics projects and initiatives.
  • Collaborate with cross-functional teams and business partners to gather analytical requirements and design scalable data architectures that meet analytics needs and support business goals
  • Stay up to date on emerging data analytics trends and technologies, evaluating their potential for adoption and driving innovation within the team.
  • Apply data visualization tools and techniques to communicate analytical findings to technical and non-technical partners.
  • Partner closely with data engineers and analysts to integrate analytics solutions into existing systems and applications.
  • Mentor and advise guidance to other analytics engineers and advise data analysts, assisting them and consulting on technical problem-solving skills
  • Foster a collaborative and innovative team environment, promoting knowledge sharing, standard methodologies, and continuous learning.

We're Excited About You Because

  • You have 4-6 years of experience in a analytics engineering,data engineering, or analytics role, with a focus on designing, launching, and iterating on self-service data products.
  • You’re highly proficient in SQL. Dbt and Looker experience is preferred.
  • You have experience with data manipulation, analysis, and visualization libraries and tools.
  • You demonstrate strong knowledge of data modeling and standard methodologies.
  • You’re comfortable with data warehouse technologies and cloud platforms (e.g. AWS, GCP).
  • You’re a leader and are a skilled mentor, with a proven track record of successfully leading analytics engineering projects.
  • You know that coding is only part of the job - you think strategically, connect dots, see around corners, and ensure the value-delivery of your work is realized
  • You are a high-agency individual with an ownership mindset
  • You enjoy “teaching others to fish” and think often about how to force-multiply the impact of your work
  • You are a problem-solver, highly attentive to detail and have the ability to work autonomously within complex problem spaces.

The anticipated hiring base compensation range is $155,000 - $175,000

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