Data specialist

About Watershed
Watershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.

We have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!

The role
We are looking for an analytically-minded and detail-oriented individual to be early member of our Customer Data Services team in London. This is an opportunity to help build a team at a growth-stage start-up that works with the world’s top companies to accelerate their sustainability programs. You’ll work hands-on to review, transform, and upload customer business data in to the Watershed platform — enabling our customers to measure, report, and act on their environmental impacts.
You will:

• Clean and transform customer business data into Watershed templates to reduce customer friction and drive time-to-value

• Interface with customers to understand their raw data and guide them towards the proper solutions

• Leverage judgment to assess, advise, and execute on data cleaning best practices

• Rigorously document decisions to ensure traceability of data manipulations during 3rd-party verifications

• Synthesize customer experiences and feedback to drive continuous improvement of our services and software

You might be a fit if you:

• Have 1-3 years of experience working in a data analyst, business analyst, or similar role.

• Have expert Excel skills for data cleaning and transformation. Experience with SQL or Python is a bonus.

• Are systematic and thorough in your approach to work so that your outputs are reliably correct. You are driven to get the details right.

• Have good intuition for how numbers in a spreadsheet map to the real world. You translate abstract problems into concrete data frameworks.

• Are excited to interface with customers. You have high customer empathy and want to help them achieve their outcomes.

• Are a strong written and verbal communicator. You can concisely communicate to non-technical audiences.

• Are a low ego team player with a strong sense of ownership. You are driven by team goals and bias for action in order to achieve them.

This position is required to be in person in our London office 4 days per week.

Must be willing to work from an office 4 days per week (except for remote roles)
Watershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.

What’s the interview process like?
It starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.

What if I need accommodations for my interview?
At Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.

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Source: Arbeitnow (https://www.arbeitnow.co.uk/jobs/companies/watershed/data-specialist-london-224917)