- Use SQL and dbt (data build tool) to build data models.
- Refactor, clean, and test data models for performance and quality.
- Manage projects end-to-end and communicate clearly to stakeholders.
- Assure that our data integrations and jobs are running and accurate.
- Perform analysis using SQL, Python, and R (or any combination of) around product usage, marketing, and A-B testing.
- Contribute and identify opportunities for improvement in data warehouse and data modeling design
- Setup, test, and monitor tracking from Segment and other data generating sources.
- Build ETL-ELT packages using 's opened source framework (Python) along with job scheduling (Airflow and others).
- Improve data governance efforts and process.
- Provide mentorship to junior members of team.
- Solid experience working on large scale data platform including end to end data lifecycle (data ingestion, data processing, visualization, and analytics).
- 3+ years experience building and managing complex multi-dimensional data models.
- 3+ years experience managing large scale data lakes/warehouses, preferably cloud-based.
- 3+ years working in critical line of business data domains such as customer behavior tracking, A-B testing, growth marketing; direct to consumer businesses preferred.
- 2+ years of using Python for analysis.
- 3+ years advanced SQL - you know the difference between SQL that "gets the job done" vs performant SQL (prototype vs production).
- Able to understand and new technologies very quickly and has knowledge of full technical landscape.
- Experience with data governance projects and process implementation.
- An insatiable drive to learn quickly and stay-up-to date on industry trends, tools, and more.
- You can get things done without perfect resources, are innovative and work with a sense of urgency.
- You have high standards, take ownership of your work, and are invested in the outcome.
- Command line and git experience.
- Passion for ocean-going activities.
- Experience using PAAS & SAAS data offering like Segment, FiveTran, Snowflake, AWS.
- Experience using Atlassian products.
- BS degree in computer science.
- MS-MA or MBA degree.
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Analytics Engineer - Huntington Beach, United States - Surfline Inc
Description
Summary:As an Analytics Engineer, you'll work on a variety of projects that take our user data and provide insights for the entire company. You'll work with our strategy team through a multitude of ways and have a hand in shaping new features and influence strategic business decisions, while delivering on a technical roadmap. This is a highly collaborative role where one will shape and build our data platform, perform a wide range of formal and ad hoc analyses, and help internal business stakeholders make better, data-driven decisions. Our stack is currently built with Segment, Fivetran, Snowflake, Looker, Airflow, and a few other tools. This is an exciting time to be in a data role here at Surfline
Under Surfline's "Work from Anywhere" policy, this position may be performed on a full-time remote basis from California or a variety of locations in the US.What You'll Do:
The base salary range for this position is: $100,000 - $120,000. In accordance with applicable state laws, the range provided is Surfline's reasonable estimate of the base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, knowledge, skills, abilities, and location. In addition, Surfline offers a competitive and comprehensive benefits package including 100% company-paid healthcare (medical, dental, and vision), a 401(k) plan and match, 'Use What You Need' PTO and more.
About Surfline Wavetrak:
Millions of people around the world depend on Surfline Wavetrak's products to enrich their experiences in and around the ocean. Since 1985, our company has connected people with the ocean. Starting with surfers and expanding to offshore cruisers, anglers and a myriad of other ocean enthusiasts, we've made it our mission to deliver peak maritime experiences. We provide those who work and play in the ocean with all the advanced tools, personalized insights and immersive content to make their lives bettersupplying them with the information they need to make smarter decisions, seek out new experiences and gain valuable knowledge.
We are dedicated to bringing people together across the globe, and we champion and encourage those who bring different perspectives, ideas, and creativity. At Surfline Wavetrak, we recruit, employ, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, gender identity, gender expression, age, veteran status, and any other protected status.
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