Senior Data Analyst, GTM

GameChanger is hiring a Senior Data Analyst, GTM with 3 - 5 years of experience. Based in United States - Remote and with Remote ways of working.Job description and responsibilities:Why We’re DifferentWhether this is your first job description or the hundredth one, that’s what you’re thinking; is this just the same old senior analyst job description….zzzz. Well it’s not because here we have TACOs! At GameChanger, we love our virtual tacos*; it’s how we show appreciation to our teammates (50K+ tacos given!) for the great work they’re doing! For example you could get tacos for:• Building a report that shows in-app notifications’ impact…Luke in Marketing Ops will toss you a 🌮!• Presenting a demo to the company on how we’ve built out a Customer Acquisition Cost model…lots of people will give you 🌮 🌮 🌮, especially Eric in Paid Marketing!• Measuring the impact of our Community Pass? Rebecca in Community will give you a 🌮!• Tell a good dad joke? I’ll give you a 🌮 and enter it into our dad-abase!Now let’s 🌮bout the role!T: Tracking and TechnologyWe’re looking for somebody who’s excited to continuously help improve and optimize our tech stack and tracking. Some examples of this:• Working with data engineering and marketing operations to stand up Braze for more targeted in-app notifications and email marketing campaigns.• Providing guidance on Snowplow front end tracking for our web and mobile app experience.• Auditing and optimizing our AppsFlyer implementation so we can measure channel performance.• Helping evaluate an experimentation platform and product analytics tool to enable more self-service analytics at GameChanger.A: Analytics and AdviseOur analysts are versatile and technical, but their mission isn’t to just serve up dashboards or set up tracking. This work is done as a pre-req to advise our business partners on a course of action. Here are some projects you’d work on:• Design channel and campaign level attribution to optimize incremental marketing spend and efforts.• Help ideate, execute, and measure experiments designed to understand what drives user registrations and conversions.• Proactively diagnose and provide hypotheses around macro-marketing performance like unexpected changes in team creations and lifetime value.C: CommunicationAt GameChanger, data is becoming our lingua franca and you’ll help spread the word of data by:• Establishing a common vocabulary by defining metrics and dimensions.• Actively listening to others so you can continuously build and improve our data knowledge and know-how.• Sharing what you know by educating business stakeholders and other analysts.• Owning the prioritization process for Go-to-Market data projects.O: OrganizationsAt GameChanger, our people and culture are our differentiator, so it’s important you know who you’ll be working with.• Go-to-Market: Consists of marketing, partnerships, community, and product marketing. This org is relatively new, so you’ll have abundant opportunities to be a trusted advisor to create the data foundations with them.• Data and Analytics (DNA): Our team has established processes and infrastructure that allow analysts to focus on doing the work rather than constantly dealing with data fires. Plus we’re really fun and love tacos!Requirements and qualifications:Who You Are:• Prior experience in marketing analytics in a B2B and B2C SaaS subscription based environment.• Prior experience analyzing and reporting on the performance of go-to-market activities (e.g., program return on investment, customer acquisition, attribution).• Expert in SQL and working with relational databases.• Experience with BI tools and data visualization.• Experience with programming languages like Python or R.• Experience working with data from Customer Engagement Platforms (e.g., Braze, Iterable), and mobile attribution sources (AppsFlyer).• Written and verbal communication skills with technical/non-technical colleagues.• Knowledge of digital advertising ecosystem and data sources (e.g., Facebook ads, Google Analytics, TikTok).• Comfortable with answering unstructured business questions.• Ability to work independently and be self-directed while also working within a collaborative team environment.• Experience in a cross-functional or stakeholder-focused data role.Bonus Qualifications:• Experience with experimental design and experimentation platforms.• Experience building datasets enabling user segmentation.• Exposure to models that can be used to support Operations and Finance teams such as revenue forecasting, customer acquisition cost, return on investment, etc.• Experience with engineering development processes (Git, code review, version control).• Proficient in our data tech stack: Snowflake, Hex, Snowplow, dbt, Looker.