Analytics Engineer - OpenData EMEA (Remote)

The company Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of the company are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.

The Role

The company OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics.

We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success.

The analyst engineer role will create maintenance jobs to transform, clean and validate data from a variety of sources. The data is handed over to our data platform for processing using Python.

The role has a significant impact on customer success, as it is ensuring the freshness, availability and quality of data for our customers. In addition to data acquisition and modeling of data, the role will work on classic analytical tasks, like ad-hoc reports and visual reporting too.

What You'll Do

• Configure and maintain robust, scalable crawlers

• Build reports, ad-hoc and regularly

• Integrate extracted data into our OpenData platform

• Implement data quality and observability

• Collaborate with cross-functional teams to deliver solutions

Requirements

• 4+ years of experience as a data analyst using SQL

• 4+ years of experience as an analytic engineer using Python

• Strong understanding of good practices, like version control and code reviews

• Hands on experience building robust and scalable crawlers

• Solid understanding of data structures (data frames) and data models

• Experience modeling, transforming and cleaning of raw data

Nice to Have

• Experience with crawling tools like Mozenda or Zyte

• Experience with Redshift

• Experience with Dbt, Polars

Interviewing with the company

We value your time and believe in a transparent hiring process. Here is the process you can expect.

• Follow the application process and submit your resume.

• Within 3 days, you will receive a link to a personality assessment administered by a third party, unless you have already completed it with the company previously.

• Once you complete the assessment, our team will review your full application package and follow up via email with our decision.

• If moving to the interview stage, the process is as follows:

• A conversation with the hiring manager

• A practical case exercise

• A final conversation with our group's Senior Leader.

• Once all interviews are complete, the manager will be in touch with a final decision.

Perks & Benefits

• Benefits package including Restricted Stock Units (RSUs), family health insurance and contributions to private pension plans

• Annual allocations for charitable contributions

• Fitness reimbursement

• Work from anywhere

Compensation

• Total compensation: 45,000 - 95,000  EUR

• The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus.

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The company’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

As an equal opportunity employer, the company is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.

If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [link for members]