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Analyst Engineer

Branch

Vancouver

Remote

CAD 116,000 - 147,000

Full time

Today
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Job summary

A leading technology solutions provider is seeking an Analyst Engineer to enhance data understanding and enable decision-making across the company. The ideal candidate will possess a Bachelor's degree and have 2–4 years of experience in analytics, along with advanced SQL skills. This fully remote role allows for flexibility, provided candidates are located within Canada. Competitive compensation is offered in the range of CAD 116,000 to CAD 147,000, along with a comprehensive benefits package.

Benefits

Health and wellness programs
Paid time off
Retirement planning options

Qualifications

  • 2–4 years of experience in data analysis or analytics-focused roles.
  • Hands-on experience with dbt or similar SQL-based modeling platforms.
  • Experience with BI tools like Tableau or Power BI.

Responsibilities

  • Dive into low-level data to understand and improve it.
  • Produce new aggregate datasets for reporting.
  • Develop business metrics and maintain documentation.

Skills

Advanced SQL skills
Data modeling concepts
Analytical queries on large datasets
Communication with non-technical audiences

Education

Bachelor's degree in Data Analytics or related field

Tools

dbt
Snowflake
Tableau
Job description
Overview

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 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.

Responsibilities
  • 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
Qualifications
  • 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
  • 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.

Compensation and Benefits

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. Branch offers a comprehensive benefits package including health and wellness programs, paid time off, and retirement planning options. For detailed information on benefits specific to your position, please consult with your recruiter.

Equal Opportunity

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

About Branch

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 channels to drive valuable action at moments of highest intent. Branch is headquartered in Mountain View, CA with world-class brands leveraging our solutions.

Candidate Privacy

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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