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Analytics Engineer 2
| Company | The Farmer’s Dog |
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| Location | New York, NY, USA |
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| Salary | $173000 – $190000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Mid Level |
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Requirements
- 2-4 years of experience in an analytics engineering, data engineering, or analytics role with a focus on designing, launching, and iterating on self-service data products.
- Highly proficient in SQL.
- Dbt and Looker experience is preferred.
- Experience with data manipulation, analysis, and visualization libraries and tools.
- Strong knowledge of data modeling and standard methodologies.
- Comfortable with data warehouse technologies and cloud platforms (e.g. AWS, GCP).
- A leader and skilled mentor, with a proven track record of successfully leading analytics engineering projects.
- Strategic thinker who connects dots and ensures value-delivery of work.
- High-agency individual with an ownership mindset.
- Enjoys teaching others to fish and thinks about how to force-multiply the impact of work.
- Problem-solver, highly attentive to detail, and able to work autonomously within complex problem spaces.
Responsibilities
- 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 guidance on complex analytics projects and initiatives, using storytelling to support our analysts in articulating nuances in our data to partners.
- 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.
Preferred Qualifications
- Dbt and Looker experience is preferred.
