Taulia's Commitment to Diversity, Equity, and Inclusion:

It is our duty to create and advance a diverse and inclusive company where all Taulians feel they are celebrated. All individuals are welcomed, free to express themselves and rewarded for showing up as authentically every day. By hiring women, people of color, individuals with disabilities, veterans, people of all sexual orientations and from underrepresented and marginalized communities, Taulia will revolutionize fintech.

About the Job:

Taulia is looking for an experienced Business Intelligence Engineer (BI Engineer) who has a passion for building data visualization products and systems. In this role, having the skill and experience to take large datasets and build the tools, processes, and systems to translate that data into actionable business decisions is critical. As a BI Engineer, you will help ensure that we’re building a scalable system for the future of Taulia and our customers. You will anticipate problems, looking beyond immediate issues and being proactive to improve both our software and our development infrastructure.

In return you’ll get the reward of working inside a passionate, hungry, and FUN team. You’ll get the joy of bringing a highly visible product to life from concept to delivery, and the technical and business learnings of working with data and users at scale.

Essential Duties and Responsibilities:

• Translate business needs to technical specifications for visualization products.

• Create visualizations and reports for requested projects.

• Connect to data sources, import data, and transform data for Business Intelligence.

• Understand the context for the data well enough to clean and transform it into a form useful for subsequent analysis.

• Document development work and provide status on progress.

• Strong analytical and quantitative problem-solving ability.

• Train internal users and develop external documentation on Looker and reports usage to promote self-sufficiency.

Core Skills and Key Competencies:

• 4+ years of work experience in Business Intelligence, Data Analytics, Data Engineering, Decision Support or related role.

• Strong SQL skills, with the ability to write complex SQL, doing cohort analysis, comparative analysis, etc. Strong data modeling skills. Python is a plus.

• Experience devising quantitative approach and statistical methods for ad-hoc analysis, forecasting and trends analysis, root cause analysis, metrics definition, hypothesis testing, funnel analysis, etc.

• 1+ year experience with designing and developing Looker Dashboards.

• Preferred Bachelor’s or Master’s Degree in Statistics, Mathematics, Data Science, Computer Science or related quantitative field.

Nice to have:

• Experience with Kinesis/Lambda - Streaming messages, building consuming lambda functions.

• Experience with Aurora - designing table structures, interacting with S3 and moving data.

• GCP:- Big Query and Google Kubernetes Engine (GKE).

Benefits:

• Flexible work schedule
• Remote-friendly environment
• Competitive Compensation (Annual Base Salary, Annual Bonus, Equity)
• Comprehensive Insurance Coverage (Medical, Dental, Vision, Life)
• Comprehensive PTO Structure (PTO, Sick Leave, Bereavement)
• Global Parental Leave
• Company issued equipment (Laptop, monitor, etc.)
• 401k with match
• Career Development/Pathing
• EAP Program/Mental Health Advocacy
• Supportive Work Culture

About Taulia:

Taulia is a fintech provider of working capital management solutions headquartered in San Francisco, California. Taulia helps companies access value tied up in their payables, receivables and inventory. A network of more than 2 million businesses use Taulia’s platform to determine when they want to pay and be paid. Taulia processes more than $500 billion each year and is trusted by the world’s largest companies including Airbus, AstraZeneca, Nissan and Vodafone. For more information, please visit www.taulia.com.

Taulia is an Equal Opportunity Employer -Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

If you don't think you meet all of the criteria above but still are interested in the job, please apply. Nobody checks every box, and we're looking for someone excited to join the team.