Staff Product Analyst

2 weeks ago


Mountain View, United States Intuit Full time

**Overview**:
Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools.

Our analytics team is a growing team here at Mailchimp to support our strategic initiatives, business operations and revenue management as Mailchimp continues to evolve. We are seeking a motivated and energetic data analyst to support the growth of the analytics function of this team.

**What you'll bring**:

- 5-7 years of experience in an analytics-focused role, prior work experience within a technology (software) company
- Proven experience analyzing data from a variety of sources (quantitative and qualitative), presenting the data in a clear and concise manner, and create actionable insights
- Expertise in SQL
- Experience with statistical methods such as regression and hypothesis testing
- Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau
- Ability to build relationships, be persuasive and influential within and across immediate working groups
- Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake
- Experience working in an Agile Product Development environment a plus
- Strong product sense - ability to identify and size new product opportunities to strategically grow the business
- Experience with mentoring others in User Experience Research practice
- Bachelor’s or Graduate degree (business, analytics, or mathematics a plus or equivalent work experience)
- Knowledge of web analytics and user behavior analysis (Google Analytics, Adobe Analytics, etc.)

**How you will lead**:

- Analyze large behavioral data sets to create a complete picture of the Mailchimp customer, their behaviors, and needs, turning them into actionable recommendations and insights that tie to larger strategic business goals
- Analyze multiple types of data (e.g., web traffic, product usage, orders, customer experience, etc. ) that provide a complete picture of users behavior from attraction, awareness, conversion, usage, and retention
- Manage sitewide tagging framework, implementation spec, and engineering requirements for analytics tracking; oversee migration of analytics tracking.
- Guide other product analysts and researchers on the design, execution, and analysis of quantitative, qualitative, and mixed-methods research studies
- Own and build analytical tools and solutions addressing product and business needs and questions enabling better decisions by leadership
- Lead complex analytics requirements conversations, communicate with stakeholders to plan analysis approach, and guide key decisions
- Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations
- Develop narratives and recommendations from analyses, build presentations, and present findings to business stakeholders
- Partner with strategic initiative owners and key stakeholders to define KPIs and build dashboard reporting to help the business make data-informed decisions
- Support experimentation design of to measure impact of product changes; synthesize and present results
- Coordinate data infrastructure work to ensure appropriate tracking is in-place to conduct high-quality analyses
- Build analytics roadmaps to support and align with Product roadmaps


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