Analytics Engineer

Harnham; United States; On-site; USD 110,000 - 160,000; Full time

Job summary

Harnham is partnering with a global travel management organization to build and scale its next-generation analytics platform. The Analytics Engineer will work across data engineering, analytics, and product to turn complex data into trusted analytics products used internally and by customers worldwide.

You’ll be building analytical data models, transforming raw data into clean datasets, and developing semantic models across the organization.

Qualifications

• Strong SQL skills and experience with large, complex datasets.
• Hands-on experience with dbt, including building, testing, documenting, and maintaining transformation models.
• Experience building analytical and semantic data models.
• Understanding of the full data lifecycle, from pipelines and warehousing to reporting and analytics.
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Azure Data Lake).
• Experience with BI platforms (Looker, Tableau, Power BI).
• Proficiency in Python, Scala, or R for analytics engineering.
• Knowledge of data quality, query performance, testing, and optimization.
• Strong communication with technical and non-technical stakeholders.

Responsibilities

• Build and maintain analytical data models that support reporting, dashboards, and customer facing data products.
• Transform raw data into clean, reliable, and reusable datasets.
• Develop semantic models and consistent business metrics across the organization.
• Build dashboards, visualizations, and embedded analytics experiences.
• Partner with business, product, IT, and engineering teams to understand requirements and deliver scalable data solutions.
• Improve the performance, reliability, and usability of analytics products.
• Support data quality, governance, documentation, and compliance.
• Help establish best practices around testing, version control, and analytics engineering workflows.

Skills

SQL

dbt

Data modeling

Python

Snowflake

Databricks

BigQuery

Looker

Tableau

Power BI

R

Scala

APIs

Communication

Tools

dbt tooling

Job description

We’re partnering with a global travel management organization that is making a significant investment in its data and analytics capabilities and is looking for an Analytics Engineer to help build and scale its next generation analytics platform.

The role sits across data engineering, analytics, and product, turning complex data into trusted, scalable analytics products used by teams internally and by customers around the world.

What You’ll Be Doing

• Build and maintain analytical data models that support reporting, dashboards, and customer facing data products
• Transform raw data into clean, reliable, and reusable datasets
• Develop semantic models and consistent business metrics across the organization
• Build dashboards, visualizations, and embedded analytics experiences
• Partner with business, product, IT, and engineering teams to understand requirements and deliver scalable data solutions
• Improve the performance, reliability, and usability of analytics products
• Support data quality, governance, documentation, and compliance
• Help establish best practices around testing, version control, and analytics engineering workflows

What We’re Looking For

• Strong SQL skills and experience working with large, complex datasets
• Hands on experience with dbt, including building, testing, documenting, and maintaining transformation models
• Experience building analytical and semantic data models
• Strong understanding of the full data lifecycle, from pipelines and warehousing through to reporting and analytics
• Experience with cloud data platforms such as Snowflake, Databricks, BigQuery, or Azure Data Lake
• Experience with BI platforms such as Looker, Tableau, or Power BI
• Experience with Python, Scala, R, or another language used in data and analytics engineering
• Understanding of data quality, query performance, testing, and optimization
• Strong communication skills and the ability to work with both technical and non technical stakeholders

Nice to Have

• Experience building embedded analytics or customer facing data products
• Experience with APIs and application integrations
• Experience with data governance, security, or compliance frameworks
• Experience working across AWS, Azure, or GCP

This is a great opportunity for someone who enjoys combining strong technical analytics skills with an engineering mindset and wants to help shape a modern, scalable analytics platform.