Analytics Engineer

ABOUT US

At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's top billion-dollar global retailers. We’re building the future of in-store experience where every product and every person can be precisely located in real time.

Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world’s largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences.

We’re a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond!

ABOUT THE JOB

We are looking for an Analytics Engineer to help build and develop our analytics capabilities at RADAR. The role requires extensive collaboration with teams and functions across the company ranging from product and customer success to engineering, data science and research.

Responsibilities:

• Design, build, and maintain scalable, reliable, and efficient data pipelines using Apache Airflow & Beam.
• Ensure pipelines are robust and maintain high levels of trust and integrity by implementing data quality checks, unit tests, pipeline monitoring, error handling, and logging mechanisms. 
• Design and build the data model to support scalable and repeatable analytics.
• Collaborate with Data Science, Engineering and Product teams to understand data needs and translate into solutions.
• Write and optimize complex SQL queries including use of CTEs and window functions.
• Develop RADAR’s data product offering.
• Develop custom visualizations and dashboards with tools like Looker.

ABOUT YOU

Required:

• 4+ years of experience working in a Business Intelligence, Analytics Engineering or Data Engineering role.
• Strong proficiency in Big Data query tools such as SQL or Apache Spark.  Comfortable with Python for data manipulation and development of orchestration pipelines.
• Experience in the development, maintenance and monitoring of large data pipelines with an orchestration tool such as Airflow, Dagster or DBT.
• Understanding of Big Data processing fundamentals e.g. partitioning strategies,  SQL query performance optimization.
• Experience developing data models that support scalable, cost-effective analytics pipelines.
• Experience writing data quality checks and unit tests to ensure high quality data and analytics.
• Experience creating analytics solutions using visualization tools such as Looker or Tableau.
• Proficiency in version control tools (Git).

Preferred:

• Experience working with real-time data streams and large-scale data warehouses.
• Knowledge of developing pipelines that support ML model training and serving.
• Knowledge of modern data warehousing solutions such as Snowflake, Databricks or Big Query.
• Bachelor’s degree and equivalent practical experience or Master’s degree in a relevant field

At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $100,000.00 - $180,000.00. Individual pay is determined by work location and additional factors,  including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan,  flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. 

Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness.

Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

CULTURE SNAPSHOT

Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters.

Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together.

High Impact: You’ll make meaningful contributions from day one and help shape the future of our product and company.

Clear Communication: We value honesty, humility, and respectful dialogue—everyone’s voice matters.

Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work.

Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints.

Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.