Branded Is Hiring!

Senior Data Engineer (Analytics)


At BRANDED, we're building a next-generation consumer products company that transforms online businesses into massive global brands. Since our founding in late 2020, we've built a portfolio of over 30 amazing brands and have quickly become a Top 20 Seller on Amazon. Fueled by proprietary tech and the international operational expertise of leaders from Lazada, Amazon, Alibaba, P&G, Mars, L'Oréal, SoftBank, and Goldman Sachs - BRANDED is the ideal partner to accelerate a marketplace brand's global growth.

Join us at the forefront of the eCommerce revolution and take your career to the next level! We hire talented individuals who raise the bar.

Job Description

The Data Analytics & BI team is pioneering a data-driven intelligent platform to optimize and grow E-commerce businesses. Our mission is to design advanced automation, decision-support tools and autonomous algorithms. We believe that human-machine collaboration is the key to capture new trends before they happen, deploy effective quantitative marketing strategies and best tailor our products to our customers’ needs. To achieve this vision, our Tech team relies on cutting-edge approaches to data and software engineering enabling us to quickly iterate on new ideas and confidently turn them into data-driven products.

BRANDED’s business model will expose you to a number of unique challenges: collecting and analysing data on thousands of Amazon sellers to find acquisition targets, integrating new datasets resulting from acquisition of new business, synchronizing different operational systems, analyzing data trends to identify opportunities for operational improvement, conducting A/B testing for product listing optimization, analyzing brands’ operational metrics (sales, costs, revenues, etc.) to identify opportunities for improvement, analyzing consumer behavior from Direct To Consumer (DTC) websites. The roadmap is ambitious, and we are growing extremely fast.

In this role you will be building the data foundation to make this vision a reality. Our analytical stack is evolving to be GCP, Airbyte, Airflow, BigQuery, dbt, Looker. If you are looking to join a successful e-commerce company as an early member of the data team and make an impact, this is it!

  • Develop, maintain and refactor scalable data models & pipelines that allow the business to get maximum value from our datas, with high quality, clean, maintainable analytic code
  • Curate, organize and document data definitions, metrics and reporting environments across raw datasets, dbt, and Looker to unlock value and drive efficiency while ensuring data quality
  • Modeling data and writing documented, maintainable ETL pipelines to provide datasets to answer key analytical questions
  • Owning the quality of the data being delivered to the reporting and analytics layer - including writing integration and unit tests, monitoring for data issues, debugging data inconsistencies.
  • Selecting and incorporating tooling that gives monitoring and observability to the data pipeline
  • Performing exploratory data analysis, onboarding and integration of new datasets
  • Help define and improve our internal standards for architecture, style, maintainability, and best practices for a high-performance data organization

Preferred Experience

  • Minimum of 7+ years of professional experience in data engineering, data analytics, consulting, business intelligence, or a related field
  • You have 7+ years of experience writing SQL in a professional capacity
  • Production experience with dbt, Big Query, and Looker
  • Experience with a scripting language (ex: Python) and using source control for ETL pipelines in production
  • You are driven by solving users’ problems and try to follow a philosophy of continuous improvement and automation
  • You love telling a story with data and appreciate the challenge of designing and building a dataset and visuals that help build a decision support framework
  • Experience with e-commerce domain is a plus
  • You are entrepreneurial and feel at home in a proverbial fast paced environment

We are seeking for people who:

Are owners.
Are continually raising the bar.

Are sincerely open-minded, and are willing to examine their strongest convictions with humility.
Nurture and embrace differing perspectives to make better decisions.

Recruitment Process

If you are ready to join our fast-paced new company, apply below!

We are an Equal Opportunity Employer. All qualified applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin will be considered. No qualified applicants will be discriminated against on the basis of disability or protected veteran status.

Additional Information

  • Contract Type: Full-Time
  • Start Date: 23 August 2021
  • Location: New York, United States (10007)
  • Education Level: Bachelor's Degree
  • Experience: > 7 years
  • Possible partial remote

Sounds like something made for you?