At Branch, we’re transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. By integrating Branch technology into core marketing channels including apps, web, email, social media, search, and paid ads, leading brands are driving higher-value conversions than ever before.

We power mobile links, attribution, and measurement for more than 3 billion monthly users and have been selected by over 100,000 apps since 2014, including Adobe, BuzzFeed, Yelp, and many more, and are working on exciting new ways to improve discovery in the mobile ecosystem. Branch has raised more than $667M from investors such as NEA, Founders Fund, and Playground Ventures and is headquartered in Palo Alto, CA and with offices around the globe.

We are adding a Senior Data Analyst to our Data team. Ideal candidates will bring a blend of technical expertise, industry knowledge, and a deep understanding of data engineering best practices. Familiarity with leading-edge tools and technologies in the data landscape is essential for driving insights and innovations within our team.

Responsibilities include, but are not limited to:

• Report and Dashboard Creation: Develop and maintain detailed, insightful reports and dashboards to support business applications and analytics, adapting to growing data demands.
• Ad Hoc Analysis: Conduct in-depth ad hoc analysis to provide actionable insights for business decision-making, ensuring that all analyses are thorough and relevant.
• Continuous Improvement: Continually refine reporting processes and dashboard designs for enhanced performance and quality by developing a deep understanding of the intersection of data consumption and business process allowing us to align with changing business needs.
• Problem-Solving: Proactively address data challenges to boost business outcomes by identifying areas for exploration across financial, commercial, and operational domains.
• Customer Focused: Collaborate closely with business users to refine requests and tailor solutions striving to always produce easily consumable, actionable outputs.
• Technology Adoption: Champion the latest data technologies and methodologies, staying ahead of industry trends to elevate team productivity and platform functionality.
• Collaboration: Work closely with various teams, leveraging data to drive strategic decisions and foster a culture of data-driven excellence.

Qualifications:

• Advanced SQL Expertise: At least 5 years of experience in crafting complex, highly optimized, and readable SQL queries, demonstrating excellence in database management and data manipulation.
• Analytical Techniques Expertise: Proficient in advanced analytical techniques such as segmentation, cohort analysis, time series analysis, and survival analysis, ensuring comprehensive and actionable insights.
• Reporting and Analytical Technologies Experience: Solid experience with reporting tools like Tableau and analytical tools like Pandas, ensuring the creation of effective data visualizations and robust data analyses. Familiarity with data visualization best practices is a plus.
• Educational Background: Bachelor's degree in Computer Science, Information Technology, or a similar field, or an equivalent combination of education and experience, underscoring a strong foundation in technical principles.
• Industry Experience Preferred: Solid background in the payments sector, with comprehensive knowledge in payment processing, fraud detection, risk management, and financial data analytics, reflecting a proven track record of addressing industry-specific challenges.