Tile (201-500 Employees, 59% 2 Yr Employee Growth Rate)

Tile creates devices connected to a mobile app, helping users locate their personal items.

44% 1-Year Employee Growth Rate | 59% 2-Year Employee Growth Rate | LinkedIn | $101M Venture Funding

What Is Employee Growth Rate & Why Is It Important?

We’re looking for open-minded individuals who want to expand the ways technology can help people. We work fast, collaborate, and celebrate as a team. We’re united by a commitment to shaping Tile’s culture around the needs of our colleagues and customers, and by our desire to build a diverse and welcoming workplace.
Our analytics team is growing to keep up with demand for our products and new partnerships, and stay on the cutting edge in all things related to acquisition. The team is looking for a Sr. Marketing Analyst who will be responsible for analyzing data, finding insights, and making recommendations to drive informed decision-making for Tile’s marketing teams.  This person will develop data pipelines, build reports, dashboards, and presentations for key business reviews, build predictive models and forecasts, and provide ad-hoc analysis to guide our growth, PBM, and CRM initiatives.
At the start, the right person for this role will be able to jump in, in close partnership with the digital marketing team, and manage the generation of digital traffic diagnostics and insights that help to achieve and exceed acquisition plans. You will contribute to a factual basis for future consumer acquisition and experience optimization.
This is a great opportunity to join a small team and quickly have a big impact on the customer experience, in a role that is part strategic, and part tactical.

What you’ll be doing:

    • Analyze large scale data including digital marketing data, customer relationship data, product usage data, and external data sources to uncover customer behavioral patterns and develop strategies that drive acquisition and retention at Tile; translate that work into actionable and measurable recommendations
    • Initiate campaign optimization and improvement, and work closely with the digital marketing team in areas such as demand optimization, analytics implementation, database integration, marketing attribution, UTM tag management, etc.
    • Develop predictive models including but not limited to: churn prediction, forecasting, attribution, customer LTV modeling, subscriptions
    • This is a very hands on position, you will be coding in SQL and Python on a daily basis, querying large datasets of marketing and user data, building data pipelines (in partnership  with data engineering), mining insights, developing visualizations and building presentations
    • Advise market stakeholders on KPIs, and use digital analytics to define goals, measure appropriate KPIs, monitor performance and derive trends and opportunities
    • Partner with the sales team to better grasp/ interpret the impact of advertising on ecommerce on Tile.com, but also at other online and offline retailers; build an experimental approach to recognize the impact of promotions and incrementality
    • Create, automate and deliver reports and dashboards that provide insights into Tile’s customer lifecycle, partner products, subscriptions, and other programs

Requirements:

    • Minimum 3 years experience in analyzing and visualizing big data in a role as a marketing analyst, business analyst or product analyst
    • Excellent SQL skills and deep understanding of relational and NoSQL databases
    • Experience with Google Analytics, AB testing tools, CRM tools
    • Great attention to detail and ability to synthesize, visualize, and communicate your ideas and insights to others
    • Proven ability to leverage business intelligence tools such as Tableau, Looker, or Mode, to build interactive dashboards
    • BS or MS degree from a quantitative major: Statistics, Math, Data Science, Economics, Computer Science, Engineering, Business Analytics or related field

Nice to have:

    • Prior experience working with digital marketing teams, analyzing the effectiveness of promotions, measuring the impact advertising campaigns have across channels, building LTV models, understanding and modeling attribution, and driving optimization of a direct to consumer business
    • Experience in big data environment building predictive models in Python/R
    • Experience with marketing analytics tools and disciplines (web, eCom, social, mobile, sentiment, paid media, SEO, SEM, CRM)

Benefits:

    • Own equity in the company – every employee is a stakeholder in our future
    • Work with an adept team of people who love what they do
    • Flexible work program
    • Comprehensive health insurance, dental, vision, 401k, and pre-tax commuter deduction
    • Hybrid/ remote work environment, depending on position
#LI-Remote
To learn more about Tile, click here to be directed to our careers page!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Tagged as: >50% 2 Yr Employee Growth, 201-500 Employees, Hide US-Only Jobs, Venture Funded

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