Position: Analytics Engineer / BI Developer
Company: 3DLook
Category: SQL
Experience required: 5y
English level: upper
Published: 2022-11-01T00:00:00+02:00

As an Analytics Engineer / BI Developer, you will be a critical member of the engineering team building a unique mobile body scanning software solution.

3DLOOK is a leading virtual fit company that enables innovative personalized shopping experiences based on a consumer’s unique body profiles to drive conversion and engagement and reduce returns. The has around 100 active clients around the globe, including some of the biggest brands in the world, has been recognized in Gartner® Hype Cycle™ for Retail Technologies 2021, won the Digiday Technology Award and RTIH Innovation Award in 2021, LVMH Innovation Award, and the IEEE Retail Digital Transformation Grand Challenge in 2019, and was recognized as one of the 2020 Pioneers of the New World.

We are seeking an experienced Analytics Engineer / BI Developer (Part-time).
As a BI Developer, you will be a critical member of the engineering team building a unique mobile body scanning software solution. In this capacity, you will collaborate with Product Management, Customer Success, Program Delivery, and Senior Executives.

Requirements:

- Experience with relational databases, SQL, statistical operations, data manipulations, data lifecycle, data quality, best practices, and guidelines around reporting and analysis
- Experience building scalable data models, visually pleasing reports from multiple data sources, and refining existing reports using BI tools
- Experience in schema design and dimensional data modeling
- At least 5 years of BI development experience with proficiency in Power BI, Tableau, Zudy, or other BI Tools
- Five years of work experience with key scripting languages, especially Python
- Three or more years of work experience in SQL and/or data architecture
- Experience working with collaborative tools such as Jira, Confluence, and Slack
- Understanding and experience with Agile Scrum
- BS degree in Computer Science or equivalent

Responsibilities:

- Design, define, and implement metrics and dimensions to enable analysis and reporting for all levels of the organization
- Become a data expert in your business domain and own data quality
- Build and improve data tooling in partnership with other data and platform teams
- Design and develop dashboards to enable self-serve data consumption
Train Data Analysts in data modeling best practices to help them contribute efficiently to the existing and new data models as needed
- Gather business, and functional requirements, then translate these into solutions that support the data analytics needs of the business
- Be a champion of “data as a product” and strive to build robust and scalable data products
- Build ad-hoc SQL queries as needed to support project needs and complex business analysis
 - Build upon, optimize and maintain the data layer to provide a consistent set of data elements and metrics that are primed for reporting and analysis
- Create Analytics requirement documents that identify data capture needs in the Product development lifecycle by working closely with stakeholders from relevant functions
- Own all data services that connect various systems and applications, both 1st party and 3rd party, to ensure a seamless flow of data in an accurate and efficient manner
- Compose business and technical documentation to improve data literacy across the organization
- Experience working with business stakeholders and gathering requirements across multiple functional areas (GTM, Finance, Operations, Product, Engineering, etc.)
- Develop high-impact data layers, user interfaces, and other tools to enable self-service analytics
 - Stay up to date with the latest technologies and trends in data engineering and analytics to continuously enhance our existing technology stack
- Lead the development of data analytics, including but not limited to report creation, data mining, and data extraction
- Creative and innovative BI dashboards built for use by multiple customers
- Collaborate with cross-functional teams and own the solution end-to-end
- High level of precision and attention to detail; inquisitive by nature
- A senior analytics professional with a proven track record of understanding the true needs of the business and how to use data skills and partnerships to fulfill those needs
- Analytically minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects
- Experience in schema design and dimensional data modeling
- Deep familiarity with dimensional modeling
- Experience building scalable data models, visually pleasing reports from multiple data sources, and refining existing reports using BI tools