At a Glance
- Tasks: Transform complex data into insights that shape business strategy and decision-making.
- Company: Fast-growing digital organisation with a performance-driven culture.
- Benefits: Competitive salary, fully remote work, and high autonomy in your role.
- Other info: Collaborate with leadership in a dynamic, fast-paced environment.
- Why this job: Make a real impact on marketing and business intelligence systems.
- Qualifications: 3-6 years in data analytics, strong SQL and Python skills required.
The predicted salary is between 24000 - 48000 £ per year.
This is a high-impact analytics role at the core of a fast-growing, performance-driven digital organization. You will transform complex marketing, financial, and operational data into clear insights that directly shape business strategy and decision-making. Acting as a key partner to leadership, finance, and operations teams, you will build forecasting models, reporting systems, and automated data workflows that improve visibility and drive performance. The role combines technical depth with business acumen, requiring someone who can move seamlessly between data infrastructure, analysis, and strategic storytelling. You will operate in a fast-paced, fully remote environment where ownership, precision, and scalability are essential. This position is ideal for a data professional who enjoys building systems that power real-time, high-stakes business decisions.
Accountabilities:
- Develop and maintain forecasting models for revenue, headcount, and business performance to support strategic planning and decision-making.
- Translate historical and operational data into forward-looking insights, identifying risks, trends, and growth opportunities.
- Build, maintain, and optimize dashboards using BI tools such as Power BI, Looker, Tableau, or similar platforms.
- Design standardized reporting frameworks for marketing, client performance, media spend, and core business KPIs.
- Automate manual reporting processes by building scalable data pipelines and integrating multiple data sources.
- Manage and enhance data workflows using tools such as Supermetrics, Google Sheets, and Apps Script for seamless reporting automation.
- Ensure data integrity, consistency, and quality across all reporting systems and databases.
- Design and maintain structured databases to support operations, finance, and performance reporting needs.
Requirements:
- 3–6 years of experience in data analytics, business intelligence, or similar roles, preferably in fast-paced digital, agency, or DTC environments.
- Strong proficiency in SQL, Python, or equivalent tools for data analysis, querying, and pipeline development.
- Advanced expertise in Google Sheets and Excel, including complex formulas, automation, and scripting (Apps Script preferred).
- Hands‑on experience with BI tools such as Power BI, Looker, Tableau, or comparable platforms.
- Strong understanding of marketing and performance data, including familiarity with paid media platforms like Meta, Google, and TikTok.
- Experience building dashboards, reporting systems, and automated data workflows from multiple data sources.
- Strong systems thinking with the ability to design scalable, reliable data infrastructure rather than one‑off reports.
- High attention to detail with strong problem‑solving skills and data accuracy mindset.
- Ability to work independently in a remote, fast‑paced environment with strong ownership and accountability.
- Excellent communication skills to translate data insights into clear business recommendations.
Benefits:
- Competitive monthly compensation in the range of $2,000–$4,000 USD.
- Fully remote work setup with global team collaboration.
- Opportunity to work on high-impact marketing and business intelligence systems.
- Exposure to large-scale performance marketing operations and datasets.
- High autonomy and ownership over analytics infrastructure and reporting systems.
- Fast-paced, growth‑oriented environment with strong learning opportunities.
- Direct collaboration with leadership and cross‑functional business teams.
Senior Data Analyst employer: Jobgether
Join a dynamic and fast-growing digital organisation as a Senior Data Analyst, where you will play a pivotal role in shaping business strategy through data-driven insights. Enjoy the benefits of a fully remote work environment that fosters autonomy, collaboration, and continuous learning, while working alongside leadership and cross-functional teams on impactful projects. With competitive compensation and opportunities for professional growth, this is an excellent employer for those seeking meaningful and rewarding employment in the analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your past experiences to demonstrate how you've transformed data into actionable insights. Remember, storytelling is key!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you, and tailor your approach to show why you're the perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Reiterate your enthusiasm for the role and mention something specific from the conversation to make it personal.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with forecasting models, BI tools, and data workflows. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit. Share specific examples of how you've transformed data into insights that shaped business decisions. Show us your strategic storytelling skills!
Showcase Your Technical Skills:We’re looking for someone with strong SQL, Python, and BI tool expertise. Make sure to mention any relevant projects or experiences that demonstrate your technical depth and problem-solving abilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Jobgether
✨Know Your Data Tools
Make sure you’re well-versed in SQL, Python, and any BI tools mentioned in the job description, like Power BI or Tableau. Be ready to discuss specific projects where you've used these tools to drive insights or automate processes.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Highlight your attention to detail and how you ensure data integrity and quality in your work. This will demonstrate your analytical mindset and ability to deliver accurate results.
✨Communicate Clearly
Practice translating technical data insights into business recommendations. You’ll need to show that you can communicate effectively with non-technical stakeholders, so think of ways to simplify complex concepts without losing their essence.
✨Understand the Business Context
Research the company’s industry and its performance metrics. Be prepared to discuss how your analytical skills can directly impact their business strategy and decision-making. Showing that you understand their goals will set you apart from other candidates.
