At Emburse our mission is to help make our users’ lives -- and their businesses – better. We are dramatically transforming how organizations manage corporate expenses and invoices. We humanize work by automating manual tasks and saving users’ time, so they can focus on what matters most -- their family, community, or more rewarding work. We help CFO's give their employees a simple and amazing experience while ensuring compliance and reducing costs. Our solutions are tailored for companies from start-ups to enterprises. We have more than 16,000 clients and 9 million users globally.

Emburse has offices across North America, including Los Angeles, Montreal, Portland (ME), San Diego, San Francisco, and Toronto, as well as locations in the UK, Germany, Spain, Australia and the Netherlands.

Our core values - Sincerity, Empathy, Empowerment, Individuality, and Teamwork - reflect who we are as a company. They are central to the decisions we make and the interactions we have with our teams, customers, and partners. As a people-focused company, we are seeking candidates who align with our values.

Emburse is a proud recipient of a 2020 Tech Cares Award from TrustRadius and a 2020 IDC SaaS CSAT Award for Travel and Expense. These awards celebrate companies that have gone above and beyond to provide their communities, clients, and front-line workers with support during the COVID-19 pandemic. We are a people-first company, and this award is a testament to our mission to humanize work.

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What you’ll do:

• 2+ years of experience related to data analysis/modelling in a software domain
• Self sufficient in the comprehension and execution of SQL scripts, and ability to analyse unfamiliar data and its relationships
• Broad knowledge of data engineering/data modeling concepts or related computer science concepts
• Can interpret business requests for data translate business requirements/requests into an applicable domain languages or models
• Understands how several key data engineering and analytics systems interoperate and the business problems they solve
• Learning to code or write script to create repeatable data engineering processes
• Learning testing and integration testing techniques
• SDLC processes are followed, including adopting agile-based processes/meetings, peer code-reviews, and technical preparations required for scheduled releases.
• Follows existing coding standards
• Completes data analyst or processing tasks, requires, features or enhancements with supervision
• May be asked to participate in peer code reviews and contributes comments
• Fixes bugs and practices debugging skills
• Produces quality technical documentation
• Seeks mentorship and takes constructive advice from peers
• Apt at distilling requests into clarifying questions with stakeholders
• Learns how to make knowledge base contributions
• Learn data engineering jargon and business concepts to better understand the challenges our technology is designed to solve
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What we’re looking for:

• Required: Bachelor’s degree in Computer Science or related field, or equivalent years’ experience
• Strong SQL knowledge and experience working with relational databases 
• Experience working in a product-oriented environment alongside software engineers and product managers
• Experience with a business Intelligence suite and the modeling of business data
• Preferred: Experience with Python in a full SDLC/production deployment environment, 
• Experience working with Looker or an equivalent Business Intelligence suite, Experience working with Fivetran or an equivalent ETL/ELT suite.  Financial Industry experience preferred

Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Emburse provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Emburse complies with applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities. This policy applies to all terms and conditions of employment.