At a Glance
- Tasks: Own and evolve data infrastructure, analytics, and reporting in a fully remote environment.
- Company: Join a dynamic partner company focused on data-driven decision-making.
- Benefits: Enjoy a fully remote work setup with global flexibility and high autonomy.
- Other info: Collaborative culture with opportunities for continuous improvement and experimentation.
- Why this job: Make a real impact by transforming raw data into actionable insights.
- Qualifications: 3+ years in data roles, experience with ETL tools and Google BigQuery.
The predicted salary is between 50000 - 65000 £ per year.
This position is focused on owning and evolving end-to-end data infrastructure, analytics, and reporting in a fully remote, global environment. You will be responsible for building reliable data pipelines, designing scalable dashboards, and ensuring the accuracy and integrity of all business-critical reporting. Acting as a key enabler of data-driven decision-making, you will work closely with engineering and business teams to transform raw data into clear, actionable insights. The environment is fast-moving and highly autonomous, requiring strong ownership, precision, and proactive problem-solving. You will also play a central role in identifying anomalies, improving data quality, and strengthening analytics systems across the organization. This is a high-impact position where your work directly influences strategic decisions and operational performance.
Accountabilities:
- Manage and optimize end-to-end data pipelines and data warehouse systems using ETL tools such as Stitch and Google BigQuery.
- Design, build, and maintain dashboards and reporting systems using Looker Studio to support business intelligence needs across teams.
- Ensure accurate implementation and monitoring of Google Analytics (GA4), including event tracking, validation, and reporting consistency.
- Execute rigorous data validation and QA processes to guarantee accuracy, consistency, and reliability of all reporting outputs.
- Proactively monitor data flows to detect anomalies, identify issues, and implement corrective actions before they impact decision-making.
- Develop custom, on-demand reports and analyses for cross-functional business teams.
- Collaborate with engineering and stakeholders to improve data architecture, tracking systems, and reporting frameworks.
- Maintain strong documentation, task tracking, and structured workflows using tools such as Trello and Slack.
Requirements:
- 3+ years of experience in a Data Analyst, Data Specialist, or analytics-focused role.
- Hands-on experience with data pipelines and ETL tools such as Stitch or similar, and data warehousing in Google BigQuery.
- Strong proficiency in Looker Studio, including dashboard creation and advanced calculated metrics or reporting logic.
- Experience with Google Analytics (GA4 preferred), including event tracking, implementation, and interpretation of behavioural data.
- Proven ability to validate datasets, QA dashboards, and ensure end-to-end data accuracy.
- Strong analytical mindset with the ability to detect trends, anomalies, and actionable insights from complex datasets.
- Experience delivering custom reports and insights for cross-functional teams in fast-paced environments.
- Excellent organisational skills with the ability to document work and manage tasks independently in a remote setup.
- Strong communication skills, with responsiveness and clarity in distributed team environments.
Benefits:
- Fully remote-first work environment with global flexibility.
- Opportunity to directly influence data-driven decision-making across the organization.
- High autonomy with ownership over end-to-end analytics and data systems.
- Access to modern data stack technologies and tools.
- Agile, low-bureaucracy environment focused on execution and impact.
- Strong emphasis on experimentation and continuous improvement.
- Collaborative global team culture across multiple time zones.
- Opportunity to build scalable analytics systems from the ground up.
Data Specialist employer: Jobgether
As a Data Specialist in this fully remote role, you will thrive in a dynamic and collaborative global environment that prioritises data-driven decision-making. The company offers high autonomy, allowing you to take ownership of end-to-end analytics and data systems while working with cutting-edge technologies. With a strong emphasis on continuous improvement and experimentation, you'll have ample opportunities for professional growth and the chance to make a significant impact on the organisation's strategic direction.
StudySmarter Expert Advice🤫
We think this is how you could land Data Specialist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jobgether!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Specialist at Jobgether.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jobgether.
✨Apply Directly through Our Website
When you find a suitable opening like Data Specialist at Jobgether, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Specialist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jobgether, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jobgether. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jobgether
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jobgether!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
