Data Analytics Engineer, Sift
Fraud prevention
Be an early applicant
Fraud prevention
201-500 employees
Be an early applicant
201-500 employees
Company mission
Sift's mission is to help everyone trust the internet.
Role
Who you are
- Advanced SQL and 5+ years of SQL experience, preferably with Snowflake or a similar cloud SQL data warehouse
- 2+ years of experience with a SQL modeling tool such as DBT, SQLDBM, or similar
- Intermediate to advanced Python, and familiarity with cloud notebooks and Python libraries including or similar to pandas, snowflake connector or SQLAlchemy, requests, and json, among others
- 3+ years of experience developing and maintaining reporting, with one or more BI tools such as Looker (preferred), Tableau, PowerBI, Sigma, Metabase, or similar
- 2+ years of experience working with version control tools such as Github
- Experience working with data from Salesforce, Hubspot, or a similar CRM
- Experience being responsible for maintenance of business-critical data models and reporting frameworks
- Familiarity with common B2B SaaS go-to-market and financial metrics (eg conversion metrics, churn rates, net and gross dollar retention, etc.)
- Experience with Airflow or another orchestration tool is a bonus
- Experience with Databricks is a bonus
What the job involves
- Reporting to the Senior Director of Revenue Operations, the Analytics Engineer works with the Business Operations team and its partner teams to develop and maintain critical reporting and analytics architecture
- Being part of a lean team, the Analytics Engineer will also often work directly with stakeholders on creating and refining new reports and dashboards as needed, but will primarily work with Analysts and SMEs within the Business Operations team
- Maintain and expand the Business Operations team’s reporting capabilities through thoughtful design of SQL architecture
- Increase the team’s total analytics capacity by introducing or improving automation wherever possible
- Work with team members in Revenue Operations to keep sales reporting up to date by ensuring all changes to sales process or CRM management are reflected accurately in downstream reporting frameworks
- Improve and expand monitoring of data quality, exception reporting, and status reporting on all analytics jobs and pipelines owned by the Business Operations team
- Work with Business Operations Analysts to streamline their modeling and other analytics processes
- Monitoring and troubleshooting of issues anywhere along a data pipeline ultimately serving up reporting to the business
- Data documentation and expansion of the team’s data dictionary and directory
- Support partner teams as needed in terms of explaining reporting frameworks and metrics, and occasionally performing ad-hoc analyses or expanding existing dashboards
Our take
eCommerce sales are growing, unfortunately for online retailers, so too is payment fraud. In a landscape where 84% of first-time shoppers with smaller merchants are concerned about data security, retailers have to find ways to earn trust.
Sift is one company that sets out to prevent digital fraud by verifying customer identities and payment methods, giving its clients, who include Twitter, McDonalds Harry’s, DoorDash, and Poshmark, the ability to confidently gain trust from their own customers.
Worldwide, sift serves tens of thousands of websites and apps and analyses over 70B account sign ups and purchases each month. Building on its growth and successful fundraising efforts, Sift acquired longtime partner Chargeback, a leader in real-time dispute management for merchants and passwordless authentication company Keyless. These acquisitions allow Sift to offer its customers a more complete solution moving forward.
Steph
Company Specialist at Welcome to the Jungle
Insights
-2% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Apr 2021
$50m
SERIES E
Mar 2018
$53m
SERIES D
Total funding: $156.6m
Company benefits
- Competitive total compensation package
- 401k plan
- Medical, dental and vision coverage
- Wellness reimbursement
- Education reimbursement
- Flexible time off
Company HQ
Financial District, San Francisco, CA
Leadership
Jason Tan
(Executive Chairman)Having studied at the University of Washington, Jason spent almost 3 years as a Zillow Software Design Engineer, before joining Optify and working as CTO of BuzzLabs for a year. They founded Sift in June 2011, serving initially as CEO and since January 2021 as Executive Chairman.
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