Bi Developer

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Riskified empowers businesses to unleash ecommerce growth by taking risk off the table.
Many of the world's biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention.
Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified's AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights.
Riskified is proud to work with incredible companies in virtually all industries including Acer, Gucci, Lorna Jane, GoPro, and many more.
We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter.
Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact.
These sentiments capture why we choose Riskified every day.
About the Role
As a BI Developer you will be responsible for building data products to enable data-driven decision making across the organization and promote strategic planning.
You will also deliver an improved understanding of the company's various metrics to allow for better short and long-term forecasting and planning.
You will develop close working relationships with various teams including Product, Analytics & Research, Finance, Sales, Marketing, and more.
What Youll Be Doing
Design and Model DWH, pipelines and data products
Create new ETL processes and optimize existing ones, ensuring quality data deliverables
Work with various teams to define key metrics (KPIs) and provide the methodologies to accurately measure Riskified's performance
Create smart, innovative and effective visualization methods, and promote engagement and implementation of them
Be the main point of contact for technical support related to data activities for various teams within Riskified
Qualifications
Minimum 3-4 years of experience in a Data Engineering or BI position - must
Strong proficiency in SQL for querying, analyzing, and transforming data - must
Knowledge in data modeling and DWH design - must
Knowledge of data quality techniques and data monitoring design - must
Experience in developing efficient ETL and pipeline processes - must
Experience with BI tools such as Tableau, Looker or similar - must
Knowledge in building pipelines in Airflow - an advantage
Experience with Python - an advantage
Bachelor's Degree in Science/Data Systems Management/Industrial Engineering and Management
Good comprehension of data, and how to tell the story behind it
Life at Riskified
We are a fast-growing and dynamic tech company with 750+ team members globally.
We value collaboration and innovative thinking.
We're looking for bright, driven, and passionate people to grow with us.
We're presenting Lisbon-based benefits below:
Hybrid mode of work
Benefits package per month—per your choice, e.G., work-from-home equipment, gym membership, wellbeing activities, and more.
Wellness program
Celebrations and activities
Team events
Happy hours
Awesome Riskified gifts and swags
Global onboarding
Role-based technical skills training
Full access to Udemy
In the News
C-Tech: We need to find the balance between leveraging innovative AI solutions and using them cautiously
Built In: How We Built This: A Riskified Technologist Unpacks The Company's Beacon Technology
Globes: Riskified is among Israel's fastest growing companies
Yahoo: Riskified Earns "Top Rated" Award Across Four TrustRadius Solution Categories
Riskified is deeply committed to the principle of equal opportunity for all individuals.
We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.
Seniority level
- Associate
Employment type
- Full-time
Job function
- Information Technology and Engineering
Industries
- Technology, Information and Internet, Software Development, and Data Infrastructure and Analytics
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