Business Intelligence Analyst

Signifyd

We switched to a 4 day work week in January 2022 (32hrs / week)

Only considering candidates who are eligible to work in São Paulo, Brazil ⚠️

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 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
  • Address ad-hoc reporting requests from cross-functional stakeholders
  • 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 and Atlan
  • Partner with Data Platform Engineering to migrate existing infrastructure to new platforms (Databricks)
  • Self-starter who thrives under ambiguity in a fast-paced, deadline-oriented environment

Requirements for the position:

  • 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
  • Passion for e-commerce and new technology, background in e-commerce, payments, fraud or data science is a plus
  • Demonstrable proficiency using data visualization software (Looker/Tableau or equivalent) to create reports and dashboards
  • Experience using JIRA or other ticketing tool
  • Intermediate LookML experience
  • Experience working with Databricks

#LI-Remote

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Signifyd's Applicant Privacy Notice

Signifydsignifyd.com

Optimize Revenue + Automate Orders + Eliminate Fraud

Working Week

We switched to a 4 day work week in January 2022 (32hrs / week)

  • Mon
  • Tue
  • Wed
  • Thu
  • 🏖️
    Fri

Our Vacation Policy

Our vacation policy varies by location e.g. in the USA we offer Discretionary Time Off Policy (unlimited) and in the UK we offer 20 days PTO plus public holidays. For the UK this works out as:

  • 28 days
  • 52 Fridays
  • 80 days off per year

Remote Working Policy

We have offices in San Jose, New York, Denver, Belfast, London, Sao Paulo and Mexico City. Many of us also work 100% remotely.

Company Benefits

  • Health insurance
  • 401K Match
  • Flexible working hours
  • Generous parental leave
  • Dentalcare
  • Equity / options
  • Equipment allowance

Our Team

We're a team of 560 across 19 departments:

  • engineering
    136
  • data science
    58
  • sales
    50
  • support
    42
  • business development
    24
  • operations
    23
  • marketing
    19
  • human resources
    13
  • finance
    13
  • +10 more teams

Desirable Skills and Experience

  • SQL
  • Data Visualization
  • Analyst
  • Cross-functional Teamwork
  • Data Modeling

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