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Senior Data Analyst I
Company | Zip Co |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Financial Services |
Expires | 2023-10-12 |
Posted at | 8 months ago |
- Remote-first opportunity for US-based employees with the option to work in-person out of our Manhattan office
- 5+ years of professional, full-time data experience, including experience with a coding language, SQL preferred, data modeling, and a BI tool, Tableau preferred
- Proven experience collaborating with Fraud, Risk, Compliance Product, and Customer Experience teams
- Bring a strong track record of analytics enablement to companies with a focus on fintech
- Conduct pre and post implementation reviews and present compelling results and actionable insights
- Communicate insights with senior stakeholders and team members.
- Build and maintain data analytics dashboards and other tools (Alation, Tableau, Amplitude) to answer critical business questions
- Work with our complex and large volume of data to understand trends, behaviors and opportunities for revenue growth
- Collaborate with the broader Data & Risk Team to share ideas and discuss analytical approaches in the interests of promoting continual development
- Be responsible for a wide range of data analytics solutions across key departments with a primary focus on Fraud & Risk, Customer Experience, and Finance
- Partner closely with business leaders to create and enable analytics around how Zip attracts, engages, and retains customers
- Connect vague business questions to data projects to create new analytics capabilities; this will require strong SQL knowledge, data modeling experience is a plus
- Proactively identify optimization areas and data-based recommendations for Zip’s business across all business functions
- An excellent addition to our culture: You believe and want to participate in a blameless culture which focuses on process and technology. You feel accountable for everything you do and that sense of urgency has been driving you your entire life. You like to have a good time while getting things done. When we say a “team player” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
- The drive to seek answers in data: You are comfortable analyzing millions of transactional data points. You use data to drive decision-making and make recommendations on how to best grow the business. You work closely with leadership to identify, measure, and grow major KPIs across business lines.
- The ability to solve big picture problems: Proactively identify reports, dashboards, and analysis needed by the business. Partner with Product & Engineering teams to strategize and drive user growth.
- Comfort in uncertainty: You’re comfortable in the weeds pulling, cleaning, analyzing, and transforming raw data into insightful, viz-ual findings. You conduct the necessary research when presented with open ended questions. Critical and open-ended thinking are second nature.
- A yearning to learn new things: You know that there’s always more to learn, and it bothers you that there isn’t enough time in the day to learn about the next topic. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool. If you can handle being thrown in the deep end of the pool, this team’s for you
- A passion for analytics: You excitedly seek opportunities to leverage Tableau. Advanced SQL is in your toolkit to solve complex business problems. You know modeling techniques and love to partner with Data Engineers. When faced with technical challenges, you take the initiative to learn new approaches.
- Company-sponsored 401k match
- Beautiful Midtown office with a casual dress code
- Generous paid parental leave
- Learning and wellness subscription stipend
- Leading family support policies
- Remote First Friendly!
- Incentive programs
- 100% employer covered insurance
- Flexible working culture
- 20 days PTO every year
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