Data Analyst, Marketing [Remote]

Toronto, ON
Canada

Industry
I.T.
Employment Type
Employee
Work Schedule
Full-Time

Job Description

The Data Analyst role at GitLab is a hybrid role: part data analyst, part data scientist, part data warehouse engineer, and part backend engineer. This role will require an inquisitive and business-oriented mindset with the ability to implement rigorous database solutions and best practices in order to produce and influence the adoption of robust quality data insights to drive business decisions in all areas of GitLab.

What you'll do in this role 

  • Coordinate with Marketing to improve and automate tracking potentially insightful data points and by analyzing data and discovering insights
  • Support Marketing by helping drive the standardization, capture, automation, and implementation of performance indicators
  • Assist with budgeting, planning, and strategy
  • Focus on cross-functional analysis that can help drive marketing conversations
  • Collaborate with other functions across the company by building reports and dashboards with useful analysis and data insights
  • Explain trends across data sources, potential opportunities for growth or improvement, and data caveats for descriptive, diagnostic, predictive (including forecasting), and prescriptive data analysis
  • Deep understanding of how data is created and transformed through GitLab products and services provided by third-parties to help drive product designs or service usage or note impacts to data reporting capabilities
  • Understand and document the full lifecycle of data and our common data framework so that all data can be integrated, modeled for easy analysis, and analyzed for data insights
  • Document every action in either issue/MR templates, the handbook, or READMEs so your learnings turn into repeatable actions and then into automation following the GitLab tradition of handbook first!
  • Expand our database with clean data (ready for analysis) by implementing data quality tests while continuously reviewing, optimizing, and refactoring existing data models
  • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review
Job Requirements
What we're looking for
2+ years experience in an analytics role
Experience building reports and dashboards in a data visualization tool
Passionate about data, analytics and automation. Experience cleaning and modeling large quantities of raw, disorganized data (we use dbt)
Experience with a variety of data sources. Our data includes Salesforce, Zuora, Zendesk, Marketo, NetSuite, Snowplow and many others (see the data team page)
Demonstrate capacity to clearly and concisely communicate complex business logic, technical requirements, and design recommendations through iterative solutions
Deep understanding of SQL in analytical data warehouses (we use Snowflake SQL) and in business intelligence tools (we use Periscope)
Hands on experience working with SQL, Python, API calls, and JSON, to generate business insights and drive better organizational decision making
Familiarity with Git and the command line
Deep understanding of relational and non-relational databases, SQL and query optimization techniques, and demonstrated ability to both diagnose and prevent performance problems
Effective communication and collaboration skills, including clear status updates
Positive and solution-oriented mindset
Comfort working in a highly agile, intensely iterative environment
Self-motivated and self-managing, with strong organizational skills
Ability to thrive in a fully remote organization
Share and work in accordance with our values
Successful completion of a background check
Ability to use GitLab
Also, we know it’s tough, but please try to avoid the ​​confidence gap​.​​ You don’t have to match all the listed requirements exactly to be considered for this role.

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