Data and Analytics Engineer

Payactiv•Milpitas, CA

21h

About The Position

Payactiv is seeking a hands-on Data and Analytics Engineer to own and support our business reporting, analytics, dashboarding, and marketing/operational data request workflows. This is a highly technical role responsible for managing analytics dashboards and BI reporting, supporting our Snowflake data warehouse environment, fulfilling data requests for user lifecycle messaging, and ensuring the accuracy, quality, and reliability of business-critical reporting. The ideal candidate has strong SQL skills, experience working with cloud data warehouses such as Snowflake, and the ability to partner directly with business teams including User Lifecycle & Growth, Customer Success, Customer Support, Marketing, Legal, Compliance, and executive stakeholders. This person should be comfortable translating business questions into accurate data outputs, maintaining trusted dashboards, and supporting recurring and ad hoc reporting needs.

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, Statistics, or a related field.
4+ years of experience in data analytics engineering, business intelligence, reporting, data engineering, or database development.
Strong hands-on SQL experience, including complex joins, aggregations, CTEs, window functions, and query optimization.
Experience working with Snowflake or another cloud data warehouse.
Strong Excel skills including pivot tables, lookups, formulas, data validation, and working with large CSV/data extracts.
Experience with BI/dashboarding tools; Sigma Computing experience is a plus.
Experience supporting business teams with ad hoc reporting, data pulls, dashboards, and operational analytics.
Ability to validate data accuracy, troubleshoot reporting discrepancies, and explain data logic to technical and non-technical stakeholders.
Python experience for data extraction, automation, QA, or reporting workflows is a plus.
Strong attention to detail, especially when working with legal, compliance, financial, or executive-level reporting.
Excellent written and verbal communication skills.

Nice To Haves

Sigma Computing experience is a plus.
Python experience for data extraction, automation, QA, or reporting workflows is a plus.

Responsibilities

Write, optimize, and maintain SQL queries against the Snowflake data warehouse.
Build and maintain curated datasets, views, and reporting tables to support business reporting, analytics and list generation.
Partner with business stakeholders to gather requirements and define data solutions.
Build trusted, scalable data sources and products that give the business reliable, actionable insights and accurate lists for user acquisition and lifecycle messaging.
Manage, maintain, and enhance analytics, BI dashboards and data visualizations used across the organization.
Lead the development of self-serve tools that enable analytics to scale across the company.
Implement dashboard changes, updates, new metrics, filters, and views based on business needs.
Validate accuracy of data pulls, reports and dashboards by reviewing data logic, source tables, joins, calculations, and definitions.
Present recommendations and reporting results to internal stakeholders and leadership.
Support ad hoc data requests from various internal teams.
Support data quality checks, reconciliation, and validation across list generation and reporting workflows.
Monitor and maintain data quality, integrity, and consistency across different environments.
Be a cross-functional champion and collaborate closely with Engineering, User Lifecycle and Growth, Data Scientists, BI and other teams to understand data sources, business rules, and reporting requirements.
Maintain documentation for key dashboards, metrics, assumptions, report logic, and data definitions.
Identify opportunities to standardize, automate, and improve recurring reporting and data request processes.
Prepare, validate, and deliver data extracts, Excel-based reports, and lists for business stakeholders.
Use automation where appropriate to improve recurring reports, QA checks, and data delivery workflows.

Benefits

Company-sponsored health, dental, and vision insurance.
Health, dental, and vision reimbursement account.
401(k), traditional and Roth, with a company match.
Tuition assistance or tuition reimbursement.
Unlimited paid time off.
Monthly gym reimbursement.
Paid time off to volunteer.
Paid family leave.
Complimentary office lunches.
Work in a fast-paced, innovative environment with modern data technologies.
Opportunity to influence business reporting, analytics, and data quality across the organization.