Business Intelligence Analyst - São Paulo, Brasil - Signifyd
Descrição
PLEASE SUBMIT RESUME AND APPLICATION IN ENGLISH As we build and scale our Data Product & Analytics Team, we are looking for an Analyst who can combine a love of data with both insightful business judgment and impactful communication skills to develop and help in the execution of company-wide data governance and KPI initiatives.
You will help empower our colleagues to live up to our values of being Curious and Hungry, Designing for Scale, and exercising Agility.
You are ready to partner with Signifyers from all departments to provide analytical insight, market understanding and a strategic perspective when it comes to Product Analytics and the Company's Data Literacy.
As we build and scale our Data Product & Analytics team, we are looking for an Analyst who will: Work with key stakeholders to help establish, collect, and compile critical performance metricsBring 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 LookMLPresent data/reporting and lead training sessions for internal Signifyd teams to better self-serveAddress ad-hoc reporting requests from cross-functional stakeholdersBuild and utilize automation (Atlassian, Fivetran, DBT) to streamline customer reporting needsPartner with internal teams to support merchants with custom reporting infrastructure and feed insights into our reporting productDocument new tools, processes, and product information to standardize knowledge across the team using Confluence and AtlanPartner with Data Platform Engineering to migrate existing infrastructure to new platforms (Databricks)
Self-starter who thrives under ambiguity in a fast-paced, deadline-oriented environmentRequirements for the position: 1-3+ years of experience in an analytical role (product analyst, operational analyst, strategy, etc.)Fluent in EnglishIntermediate experience writing/reading SQL queriesExposure to data modeling in dbt or other data transformation toolTeam player with experience working cross-functionally with teams around the worldPassion for e-commerce and new technology, background in e-commerce, payments, fraud or data science is a plusDemonstrable proficiency using data visualization software (Looker/Tableau or equivalent) to create reports and dashboardsExperience using JIRA or other ticketing toolIntermediate LookML experienceExperience working with Databricks#LI-Remote We want to provide an inclusive interview experience for all, including people with disabilities.
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