At a Glance
- Tasks: Analyse data and produce reports to drive commercial success in digital advertising.
- Company: Established digital media and advertising tech company with a collaborative culture.
- Benefits: Competitive salary, £10,000 bonus, hybrid work model, and growth opportunities.
- Other info: Equal opportunities employer encouraging diverse applications.
- Why this job: Join a dynamic team and influence real-world advertising strategies with cutting-edge tools.
- Qualifications: Experience with Power BI, Tableau, or advanced Excel; passion for digital advertising.
The predicted salary is between 40000 - 50000 £ per year.
- Programmatic Analyst £40,000 + £10,000 Bonus
- London (Hybrid – 3 days in the office)
Our client is an established digital media and advertising technology business operating at significant scale across the UK.
Combining data, technology and commercial expertise, they deliver innovative advertising solutions and are investing further in their programmatic capabilities as they continue to grow.
Join a collaborative team where analytics directly influences commercial performance and revenue growth.
Work with leading ad technology platforms, gaining exposure to cutting-edge programmatic tools and strategies.
Produce and analyse programmatic revenue reports, identifying trends and commercial opportunities.
Manage A/B testing from setup through to analysis and recommendations.
Troubleshoot technical and delivery issues while working closely with internal commercial and operations teams.
Maintain dashboards and reporting using tools such as Power BI, Tableau and Excel.
Monitor market developments and contribute insights to improve performance and operational efficiency.
Experience using Power BI, Tableau or advanced Excel for reporting and analysis.
~ Eager to learn, proactive and passionate about digital advertising technology.
Pivotal is an equal opportunities employer and we encourage applications regardless of ethnic origin, race, religious beliefs, age, disability, gender or sexual orientation, and any other protected status as required by applicable law.
Data Analyst - Tableau, Power BI, SQL in London employer: Pivotal London
Pivotal London is an exceptional employer that fosters a collaborative and inclusive work culture, where innovative ideas are encouraged and valued. Employees benefit from tailored growth opportunities, working alongside experienced founders and stakeholders in the dynamic DTC and eCommerce landscape. With a focus on professional development and a commitment to diversity, Pivotal offers a rewarding environment for those looking to make a significant impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Tableau, Power BI, SQL in London
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We think you need these skills to ace Data Analyst - Tableau, Power BI, SQL in London
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!
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Craft a Tailored Cover Letter:For a full-time role at Pivotal London, 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 Pivotal London. 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 Pivotal London
✨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!
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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
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✨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.
