Senior Analytics Engineer (Remote)

About Indiegogo

Indiegogo empowers people around the world to fund what matters to them. As the largest global crowdfunding platform, campaigns have launched from every country around the world with millions of dollars being distributed every week due to contributions made by the Indiegogo community. At its core, Indiegogo is the equal opportunity platform dedicated to democratizing the way people raise funds for any project – creative, entrepreneurial or cause-related. The company was launched in 2008 and is headquartered in San Francisco, with offices in Los Angeles and New York.

Overview

At Indiegogo, you will have the opportunity to literally change the world and people’s lives by developing new features for our consumer platform to make it even more robust. You’ll work with exceptional developers and there are lots of interesting technical challenges to tackle, including projects dealing with heavy transaction volume, scalability and Big Data.

We’re a remote-first organization with teammates across the nation. We're a team of inventors, musicians, triathletes, activists, filmmakers and writers, united by our love for the creativity and ingenuity we help enable across our site. We are a team of committed, results-driven industry leaders and pioneers who are passionate about our mission: To empower people to unite around the ideas that matter to them and together bring those ideas to life!

Position Overview

Indiegogo’s Analytics Engineers sit at the intersection of business teams, Data Analytics and Data Engineering and are responsible for bringing robust, efficient, and integrated data models and products to life. Analytics Engineers speak the language of business teams and technical teams, able to translate data into reporting, analytics, and insights. As an Analytics Engineer, you will blend business acumen with technical expertise and transition between business strategy and data development.

You will report to our VP of Product & Customer Trust but are also required to provide vital business support across the rest of the organization (Marketing, Finance, etc).

As a team member responsible for helping to bridge the gap between business and technology, the Analytics Engineer role requires equal amounts of business acumen and technical acumen.

You Will

Drive business impact through insights and recommendations based on data
Provide data modeling, reporting, and analytics expertise to all Indiegogo
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Serve as the directly responsible individual for maintaining our Data Infrastructure and ETL processes
Partner to create and maintain architecture and systems documentation in the Data Team Handbook
Partner with CFO, VP Product, and Key Stakeholders to build and maintain a Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics
Help establish A set of conventions and guidelines for writing SQL at IGG (SQL Guide) that meets our internal standards for style, maintainability, and best practices
Approve data model changes as a Data Team Reviewer and code owner for specific database and data model schemas
You will report into Product and own our data infrastructure, supported by the broader Engineering team

You Have

Ability to thrive in a fully remote organization
Positive and solution-oriented mindset
Comfort working in an agile and iterative environment
Self-motivated and self-managing, with task organizational skills
Great communication: Regularly achieve consensus amongst technical and business teams
Demonstrated capacity to clearly and concisely communicate complex business activities, technical requirements, and recommendations
Demonstrated experience with one or more of the following business subject areas: marketing, finance, sales, product, customer success, customer support, engineering, or people
4+ years in the Data space as an analyst, engineer, or equivalent
4+ years working with a large-scale Data Warehouse, preferably in a cloud environment
2+ years experience building reports and dashboards in a data visualization tool
1+ years creating project plans to identify tasks, milestones, and deliverables

‌