Data Integration Analyst Sales New York

Riskified; New York, Northern (NY, KY); Hybrid; USD 125,000 - 139,000; Full time

Benefits offered by this job

Medical insurance

Stock options

401(k) + matching

Commuter benefits

Catered lunch

Fully stocked kitchen

Team events

Wellness classes

Volunteer opportunities

Udemy access

Job summary

Riskified is seeking a Data Integration Analyst to ensure accurate client data feeds for our AI-powered fraud and risk platform. You will manage the merchant data configuration, design tailored onboarding solutions, and validate data across API and file transfers.

You will also generate data templates and write validation scripts in Python/SQL to maintain data quality in sandbox and production environments.

Qualifications

• 4+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.)
• Solid expertise with SQL or NoSQL databases
• Experience with data wrangling (Python, R for data processing)
• Experience optimizing technical processes
• Strong analytical skills and attention to detail
• Strong verbal and written communication skills
• Advantage: experience in designing, constructing, and maintaining efficient data pipelines using DBT or Python

Responsibilities

• Maintain/manage merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc.)
• Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
• Perform due diligence on merchant websites, business models, and data flows
• Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations
• Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to Riskified APIs
• Ad hoc data wrangling and sanitization
• Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
• Work closely with analysts, research, and data science teams to accommodate changes in industry data
• Identify, research, and offer system-wide solutions for common data issues
• Work closely with client-facing teams to engage customers regarding their data integrations
• Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of Riskified’s product, technology, and merchants

Job description

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 Data Integration Analyst at Riskified, you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.

Riskified’s clients come from many different sizes and industries and use different technical platforms. Each has unique data concerns, and order flows must be assessed uniquely. Our team helps scope, implement, validate, and monitor these data integrations from both a technical and business perspective.

What You'll Be Doing

• Maintain/manage merchant data configuration layer of Riskified’s platform (automated data tagging, transformation, filtering, etc.)
• Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
• Perform due diligence on merchant websites, business models, and data flows
• Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations.
• Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to Riskified APIs
• Ad hoc data wrangling and sanitization
• Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
• Work closely with analysts, research, and data science teams to accommodate changes in industry data
• Identify, research, and offer system-wide solutions for common data issues
• Work closely with client-facing teams to engage customers regarding their data integrations
• Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of Riskified’s product, technology, and merchants

Qualifications

Candidates must be currently authorized to work in the United States on a full-time basis without the need for employer visa sponsorship, and have:

• 4+ years of experience in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, Consulting, etc.)
• Solid expertise with SQL or NoSQL databases
• Experience with data wrangling (Python, R for data processing)
• Experience optimizing technical processes
• Strong analytical skills and attention to detail
• Strong verbal and written communication skills
• Advantage: experience in designing, constructing, and maintaining efficient data pipelines using DBT or Python

The base salary range for this position is $125,000 - $139,000. This range is applicable to candidates who will perform the job either wholly, or in part, within New York City. Actual salary will be based on qualifications, competencies, and location. If you feel this range is not attractive, we encourage you to let us know through the application process.

Base salary is just one part of the pay package at Riskified. All full-time regular employees receive a bonus target and are eligible to receive stock-based awards. Also, our value proposition goes way beyond compensation: our perks and benefits package, culture, community, and learning and development programs are just some of the elements we provide to bring value to our employees.

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.

Some of our NYC Benefits & Perks:

• Our NYC team is currently working in a hybrid of remote and in-office for all our team members
• Fully-covered medical, dental, and vision insurance from your first day
• Equity for all employees, 401(k) + matching, commuter benefits
• Catered lunch, fully-stocked kitchen, team events, happy hours, birthday celebrations
• Yoga, pilates, soccer league, wellness classes
• Wide-ranging opportunities to volunteer and make an impact in local communities
• Commitment to your professional development with global onboarding, sales bootcamp, s kills-based courses, full access to Udemy, lunch & learns

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.