Senior Business Intelligence Analyst

Summary

Join Signifyd's growing DataTeam as an Analyst! You'll blend data expertise with business acumen and strong communication to drive company-wide data governance and KPI initiatives. Partner with various departments to provide analytical insights and strategic perspectives on product analytics and data literacy. This role involves collaborating on key performance metrics, innovating data usage, transforming data into reports, and leading internal training. You'll also handle ad-hoc requests, build automation, support merchants with custom reporting, and document processes. The position requires experience in analytical roles, SQL, data modeling, data visualization, and working cross-functionally.

Requirements

• 1-3+ years of experience in an analytical role (product analyst, operational analyst, strategy, etc.)
• Fluent in English
• Intermediate experience writing/reading SQL queries
• Exposure to data modeling in dbt or other data transformation tool
• Team player with experience working cross-functionally with teams around the world
• Demonstrable proficiency using data visualization software (Looker/Tableau or equivalent) to create reports and dashboards
• Experience using JIRA or other ticketing tool to balance workload
• Intermediate LookML experience
• Experience working with Databricks

Responsibilities

• Work with key stakeholders to help establish, collect, and compile critical performance metrics
• Bring new, creative ideas to the team to ensure that Signifyd is leveraging internal data optimally
• Work cross-functionally to transform data from different sources into usable fields and reports with LookML
• Present data/reporting and lead training sessions for internal Signifyd teams to better self-serve in Looker
• Address ad-hoc reporting requests from cross-functional stakeholders using Looker and DBT
• Build and utilize automation (Atlassian, Fivetran, DBT) to streamline customer reporting needs
• Partner with internal teams to support merchants with custom reporting infrastructure and feed insights into our reporting product
• Document new tools, processes, and product information to standardize knowledge across the team using Confluence
• Partner with Data Platform Engineering to migrate existing infrastructure to new platforms (Databricks)
• 12 hr alerting on-call shifts 1-2 times a quarter for one week at a time for data modeling alerts

Preferred Qualifications

Passion for e-commerce and new technology, background in e-commerce, payments, fraud or data science is a plus

Benefits

#LI-Remote