WE ARE:
D-Wave (NYSE: QBTS), a leader in the development and delivery of quantum computing systems, software, and services, is the world’s first commercial supplier of quantum computers. Our mission is to unlock the power of quantum computing today to benefit enterprises and society. We do this by delivering customer value with practical quantum applications for problems as diverse as workforce, manufacturing and logistics optimization, artificial intelligence, materials sciences, drug discovery, scheduling, cybersecurity, fault detection, and financial modeling. D-Wave’s technology has been used by some of the world’s most advanced organizations including Mastercard, Deloitte, Davidson Technologies, ArcelorMittal, Siemens Healthineers, Unisys, NEC Corporation, Pattison Food Group Ltd., DENSO, Lockheed Martin, Forschungszentrum Jülich, University of Southern California, and Los Alamos National Laboratory.
Our company is publicly traded (NYSE: QBTS) and has appeared in the pages of The Wall Street Journal, Time Magazine, Fast Company, MIT Technology Review, Forbes, INC Magazine, and Wired.
WHAT TO EXPECT:
You will be joining a high-performance team responsible for Business Systems at D-Wave. In this role, you will help develop a data analytics function and will get exposure to a wide variety of departments and their operations within the company.
You will partner deeply with teams across D-Wave to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. You will work closely with partners to extract insights from D-Wave’s rich and complex data. You will also work with leaders to translate business needs into data problems. You will build metrics, scalable data pipelines, dashboards, and reports to inform and run the business. You will work with various stakeholders in our company such as Finance, Sales, Marketing, and Product.
WHAT YOU WILL DO:
Carry out analysis on product performance, user journey analysis, and marketing/content effectiveness, to help our business understand which touchpoints and tactics are driving the greatest value (and why).
Create reports and visualizations in Power BI (Business Intelligence) and other analytics tools.
Create and maintain dashboards for various departments including executive dashboards.
Assist in creating actionable business recommendations through analysis and data storytelling.
Clean and validate data to ensure appropriate filtering and correctness of data.
Initially focus on finance data to ensure financial reporting needs are met.
YOU ARE:
4+ years' experience in Business Intelligence Engineering, Data Engineering, Data Analysis, or Data Science roles, building data pipelines and analyzing large datasets to solve problems.
Bachelor's or master's degree preferred in mathematics, Statistics, Economics, Engineering, or a related technical field.
Proficiency in programming languages such as SQL, Python, and/or R.
Strong statistical knowledge.
Expertise in visualization and using data insights to make recommendations and achieve goals.
Proven ability to manage and deliver on multiple projects with great attention to detail.
Ability to clearly communicate results and drive impact.
Comfortable and professional with handling confidential and personal data.
Comfortable collaborating across functions to identify data analytics problems and execute solutions with technical rigor and data-driven insights.
A structured quick learner and a natural curiosity to look for the “so what” behind trends identified in data.
Experience with Analytics Tools such as Power BI and Tableau.
Fluent in Excel.
BONUS POINTS FOR:
Prior experience at a growth stage SaaS (Software as a Service), software, or other subscription-based company.
Experience with cloud platforms such as Amazon AWS, and with data services (e.g., Redshift, BigQuery, Databricks).
Knowledge of data warehousing concepts and experience building data warehouses or data lakes.
Experience working with financial data.
Experience working with Vena or other Financial Planning and Analysis software.
Good understanding of development processes and best practices like engineering standards, code reviews, and testing.
A D-WAVER'S DNA:
We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals.
We practice straight talk and listen generously to each other with empathy. We value different opinions and points of view. We ensure that we connect outside as well as inside to learn from others and inspire each other.
We hold ourselves accountable for delivering results. We make decisions and take responsibility, so that we can act and support each other.
As leaders, we motivate and engage our teams to go beyond what was originally thought possible, by developing our people and creating the conditions for them to grow and empower themselves through enabling and coaching.
OUR COMPENSATION PHILOSOPHY IS SIMPLE BUT POWERFUL:
We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team.
During the interview process, your Recruiter will explain how our rubrics work across all our total rewards (base, equity, bonus, perks, benefit, culture) offerings. The final offer is determined by your proficiencies within this level.
INCLUSION:
We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported, and empower your career growth at D-Wave.
THE FINE PRINT:
No 3rd party candidates will be accepted – so please don’t reach out.
It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, or local law.
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