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Data Analytics Engineer

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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.

Key Responsibilities:

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 & expand monitoring of data quality, exception reporting, and status reporting on all analytics jobs & 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

Role Requirements:

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

Benefits and Perks:

Competitive total compensation package
401k plan
Medical, dental and vision coverage
Wellness reimbursement
Education reimbursement
Flexible time off

A little about us:

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.

Sift Glassdoor Company Review

3.7

Sift DE&I Review

No rating

CEO of Sift

Kris Nagel

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Average salary estimate

$100000 / YEARLY (est.)

min

max

$80000K

$120000K

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What You Should Know About Data Analytics Engineer, Sift

At Sift, we are on the lookout for a talented Data Analytics Engineer who is ready to dive into the exciting world of data with us. As the Analytics Engineer, you'll report directly to the Senior Director of Revenue Operations and play a crucial role in shaping our reporting and analytics architecture. Imagine working closely with our Business Operations team and collaborating with various stakeholders to create and refine reports and dashboards that drive our business decisions. Your responsibilities will include designing and maintaining SQL architecture, enhancing our analytics capacity through automation, and ensuring our sales reports are accurate and reflective of any changes. You'll find yourself improving data quality and monitoring comprehensive reporting pipelines while helping analyze essential metrics, especially for our partner teams. This role is perfect for someone who has a passion for data and loves finding innovative ways to streamline processes. With your advanced SQL skills, proficiency in BI tools, and familiarity with tools like Python and cloud notebook setups, you will help promote the insightful decision-making that keeps our organization at the forefront of fraud prevention. Join us as we empower brands like DoorDash and Yelp and create seamless consumer experiences, all while benefiting from a competitive compensation package and flexible work arrangements. Ready to embark on this journey with us?

Frequently Asked Questions (FAQs) for Data Analytics Engineer Role at Sift

What are the primary responsibilities of the Data Analytics Engineer at Sift?

The Data Analytics Engineer at Sift is responsible for maintaining and expanding the reporting capabilities of the Business Operations team. This includes designing SQL architecture, enhancing analytics with automation, and ensuring accurate sales reporting. The role also emphasizes improving data quality, monitoring analytics pipelines, and supporting stakeholders with reporting frameworks and ad-hoc analyses.