Job Description

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. Our Branch team consists of smart, humble, and collaborative people who value ownership over all. Everything we do is centered around creating a great product, team, and company that lives and breathes our motto: Build Together, Grow Together, Win Together.

As an Analyst Engineer at Branch, you will play a critical supporting role to help business analysts understand our business and make data-driven decisions. You will be expected to collaborate with product engineering teams to understand (and continually improve) their low-level datasets, and to produce higher level composable datasets used for business insights and decision making. Your focus is to enable accurate, scalable, and consistent analytics across the company.

As an Analyst Engineer, you will

• Dive into our messy low-level data and understand it better than anyone else at the company, working with product eng teams to improve upon it over time;
• Produce new aggregate data sets using dbt (or similar tools) to turn raw data into reporting-ready formats;
• Develop and maintain business metrics, definitions, and analytical frameworks to ensure consistent measurement across the company.
• Produce high quality documentation which our Data Science, product teams, and other stakeholders will rely on for their data work;
• Work directly with business analysts to ensure the successful adoption and usage of your work;
• Support ad-hoc analysis requests and learn from them to enhance your reusable data assets;
• Collaborate with our Data Platform and Data Science teams to iterate on the tooling used for your own work and used by your stakeholders to consume your work.

• Bachelor’s degree in Data Analytics, Business Analytics, Statistics, Economics, Computer Science, or related analytical field
• 2–4 years of experience in data analysis, business intelligence, or analytics-focused roles
• Advanced SQL skills (joins, window functions, CTEs, analytical queries on large datasets)
• Hands-on experience with dbt or similar SQL-based modeling platforms
• Strong grasp of data modeling concepts (fact/dimension tables, star/snowflake schemas)
• Familiarity with modern cloud data warehouses (Iceberg, Snowflake, Redshift, BigQuery)
• Experience creating and maintaining KPIs, metrics, dashboards, or reports in BI tools
• Comfort with git/Github and collaborative workflows for analytics code
• Understanding of data quality principles, testing methodologies, and validation techniques
• Ability to communicate technical concepts clearly to non-technical audiences

Bonus points for any of the following

• Background in the ad tech industry
• Experience with the technologies we use including PostgreSQL, MySQL, Presto/Trino, dbt, spark, AWS, and github.
• dbt Analytics Engineer Certification (or equivalent experience)
• Deep experience with one modern BI tool (e.g., Tableau, Power BI, Looker, Superset)
• Programming experience in Python or R for analytics
• Familiarity with orchestration tools such as Airflow
• Knowledge of data governance and metadata management practices

This role is 100% remote in Canada. This role is not eligible for remote work in any other location.

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Canada is 116,000 CAD – 147,000 CAD. Please note that this information is provided for those hired in Canada only. Compensation for candidates outside of Colorado will be based on the candidate’s specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.

The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter.

Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

If you think you’d be a good fit for this role, we’d love for you to apply! At Branch, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers, and we can’t wait to show you what we have to offer!

A little bit about us:  

Branch is the leading provider of engagement and performance mobile SaaS solutions for growth-focused teams, trusted to maximize the value of their evolving digital strategies. The Branch platform provides a seamless experience across paid and organic, on all channels and platforms, online and offline, to eliminate friction and drive valuable action at the moments of highest intent. With Branch, businesses gain accurate mobile measurement and insights into user interactions, enabling them to drive conversions, engagement, and more intelligent marketing spend.

Branch is an award-winning employer headquartered in Mountain View, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch.

Candidate Privacy Information:
For more information on the data that Branch will collect through your application, and how we use, share, delete, and retain that information as part of our recruitment and employment efforts, please see our  HR Privacy Policy .

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