At a Glance
- Tasks: Ensure data accuracy and integrity for climate action initiatives.
- Company: Join the Science Based Targets Initiative, a leader in climate solutions.
- Benefits: 30 days holiday, competitive salary, and professional development opportunities.
- Other info: Work remotely in a dynamic, multicultural team focused on sustainability.
- Why this job: Make a real impact on global climate action while developing your data skills.
- Qualifications: 3+ years in data operations with strong SQL and analytics skills.
The predicted salary is between 35000 - 45000 £ per year.
As the Services Senior Data Associate at the Science Based Targets initiative (SBTi), you will be a key driver in ensuring the accuracy, consistency, and integrity of customer and target data as it moves through our validation services to the public-facing SBTi Target Dashboard. Working with a high degree of independence, you will identify data anomalies before they become issues, implement quality assurance protocols, and contribute to solutions to improve our data ecosystem. Daily, you can expect to conduct rigorous data audits, triage and resolve data-related issues, and refine the internal workflows that support our weekly publishing pipeline, ensuring data reliability for Services operations and reporting. Additionally, you will maintain critical documentation like data dictionaries and collaborate closely with Product and Technology colleagues to identify and resolve more complex issues. You will also complete special projects as needed to support Services colleagues with advanced analytics and reporting.
This position will report to the Senior Manager, Services Dashboard and Data within the Target Operations Team, based in the United States. This role plays an important part in achieving improved overall data quality and consistency for SBTi Services. By maintaining accurate and reliable data, you enable SBTi's internal teams to make informed decisions and operate at scale, and ensure that the SBTi Target Dashboard remains a trusted, high-quality resource for global stakeholders tracking corporate climate action.
You are a great fit for this role if you:
- Possess strong attention to detail, excellent organizational skills, and the ability to work effectively both independently and collaboratively in a fast-paced remote environment.
- Are a versatile communicator who can provide clear technical requirements for Product and Technology teams one day and translate data into actionable insights for business stakeholders the next.
- Have experience working in cross-functional teams maintaining large, complex datasets, and advanced data auditing, analysis and visualization skills.
Key Responsibilities:
- Build on established standards to implement rigorous processes, controls, and audits to improve overall data quality and consistency for SBTi Services.
- Drive recurring Quality Assurance procedures for the Target Dashboard and core operational data, utilising automated workflows and "human-in-the-loop" monitoring to surface data issues early and enable rapid remediation.
- Partner with operations and technology colleagues to automate repetitive data tasks to optimise the weekly publishing pipeline.
- Maintain critical documentation, including data dictionaries and process manuals.
- Investigate and resolve data issues in partnership with Product, Engineering, and subject matter experts in Services; perform or delegate related clean-up tasks to relevant colleagues.
- Support the triaging of internal and external data-related requests and queries.
- Participate in Agile ceremonies and cross-functional teams to contribute to the management and improvement of the wider organization data ecosystem.
- Build dashboards and automations to support KPI tracking and data monitoring.
Experience and Skills:
- Currently eligible to work in Mexico or the UK with 3+ years of experience in data operations, quality assurance, analytics or similar.
- Strong SQL proficiency and an understanding of database technologies and data pipelines (e.g., PostgreSQL, BigQuery).
- Expertise in managing complex datasets in Google Sheets or Excel.
- Ability to design "Self-Service" data tools in Looker Studio or similar BI platforms.
- Experience automating repetitive data tasks/creating datasets from unstructured or "messy" data (e.g. Python, Google Apps Script).
- Proactive mindset for data auditing and Root Cause Analysis (RCA), able to identify and support resolution of 'upstream' data issues at the source.
- Experience maintaining technical documentation, such as data dictionaries and process manuals, to ensure team-wide alignment and data integrity.
- Experience navigating CRM platforms (e.g., Freshsales) and managing the flow of data between front-end systems and reporting environments.
- Excellent organizational and communication skills, with the ability to translate technical data issues into requirements for Engineers or insights for business teams.
- Comfortable in a remote, multicultural environment with the flexibility to work across global time zones.
- Analytics Engineering experience, including familiarity with transformation tools like dbt to manage raw BigQuery data.
- Familiarity with version control (e.g., Git/GitHub) to manage scripts and collaborate effectively with Product and Engineering teams.
- Understanding of ETL/ELT processes and integration tools (e.g., Fivetran, Airbyte).
- Professional interest in climate science or sustainability initiatives and/or experience in mission-driven/nonprofit sectors.
- Knowledge of data privacy and governance standards and frameworks (e.g., GDPR).
- Familiarity with Agile development and related project management tools like Jira.
- Exposure to broader Google Cloud Platform (GCP) services for more complex data handling.
- Experience communicating with external product and data users/customers.
Important information before you apply:
- This is a full-time role based in UK or Mexico.
- The salary for this role will depend on location and experience level.
- This role is a fixed term contract for 12 months with a high likelihood of extension.
- Interested candidates should be legally allowed to work in the specified countries and already be visa holders. The SBTi cannot sponsor working visas.
What we offer:
- Working in one of the most successful and fastest-growing initiatives driving climate action.
- Exciting and challenging tasks in a dynamic, international, innovative, and highly motivated team.
- Training and development.
- Attractive holiday package with 30 days off, plus public holidays in your country.
- Competitive NGO salary range.
SBTi is an equal opportunity employer - committed to building an inclusive workplace and diverse staff, where all can thrive. We welcome and strongly encourage applications from candidates of all identities and backgrounds, and do not discriminate based on race, color, religion, gender or gender identity, sexual orientation, national origin, disability, or age.
Services Senior Data Associate employer: Science Based Targets initiative
The Science Based Targets initiative (SBTi) is an exceptional employer, offering a dynamic and innovative work environment focused on driving climate action. With a commitment to employee growth through training and development, SBTi provides a competitive salary package alongside generous holiday allowances, fostering a culture of inclusivity and collaboration within a diverse, international team. Working remotely from the UK or Mexico, you will play a vital role in enhancing data quality for global stakeholders, making your contributions impactful and meaningful.
Contact Details:
Science Based Targets initiative Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Services Senior Data Associate
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those already working at SBTi. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your data skills. Be ready to discuss how you've tackled data anomalies or improved data quality in past roles. Show us your problem-solving prowess!
✨Tip Number 3
Don’t just focus on your technical skills; highlight your communication abilities too. We want to see how you can translate complex data into insights that everyone can understand. Make it relatable!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the SBTi team. Let's make a difference together!
We think you need these skills to ace Services Senior Data Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data operations and quality assurance. We want to see how your skills align with the role of Services Senior Data Associate, so don’t hold back on showcasing your relevant achievements!
Show Off Your Technical Skills:Since this role requires strong SQL proficiency and experience with complex datasets, be sure to mention any specific tools or technologies you've used. We love seeing examples of how you've tackled data issues or improved processes in your previous roles.
Communicate Clearly:Your ability to translate technical jargon into clear insights is key! When writing your application, use straightforward language to explain your past experiences and how they relate to the responsibilities outlined in the job description. We appreciate clarity and conciseness.
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at SBTi!
How to prepare for a job interview at Science Based Targets initiative
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with data quality concepts and the specific tools mentioned in the job description, like SQL and Google Sheets. Brush up on your understanding of data pipelines and how they relate to the role, as this will show your potential employer that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've identified and resolved data anomalies in the past. Think about specific situations where you implemented quality assurance protocols or improved workflows. This will demonstrate your proactive mindset and ability to tackle challenges head-on.
✨Communicate Clearly and Effectively
Since the role requires translating technical data issues into actionable insights, practice explaining complex data concepts in simple terms. You might even want to prepare a few scenarios where you’ve successfully communicated with cross-functional teams, highlighting your versatility as a communicator.
✨Be Ready for Technical Questions
Expect questions related to your experience with data auditing, automation, and the tools listed in the job description. Brush up on your knowledge of ETL processes and be prepared to discuss how you’ve used tools like Looker Studio or Python in your previous roles. This will help you stand out as a candidate who is not only qualified but also genuinely interested in the work.