At a Glance
- Tasks: Maintain and analyse data for reporting, audience research, and marketing campaigns.
- Company: Join the dynamic Audience Insights team at Tate.
- Benefits: Gain valuable experience, develop skills, and collaborate with creative minds.
- Other info: Opportunity to grow in a supportive and innovative environment.
- Why this job: Transform data into insights that drive strategic decisions and impact.
- Qualifications: Passionate about data, detail-oriented, and eager to learn new tools.
The predicted salary is between 30000 - 40000 £ per year.
Overview
Join our Audience Insights team as a Data Officer and play a key role in maintaining the data that underpins reporting, audience research, marketing campaigns and strategic decision‑making across the organisation.
You will help ensure the quality and accuracy of data across a range of systems, produce and maintain regular reports and dashboards, support CRM campaigns and audience research, and work with colleagues across Tate to answer business questions using data.
Responsibilities
- Maintain the data that underpins reporting, audience research, marketing campaigns and strategic decision‑making across the organisation.
- Help ensure the quality and accuracy of data across a range of systems.
- Produce and maintain regular reports and dashboards.
- Support CRM campaigns and audience research.
- Work with colleagues across Tate to answer business questions using data.
Qualifications
- Passionate about reporting and data, with a keen eye for detail and a natural curiosity about how information can be used to solve problems.
- Highly numerate and experienced with Excel and data to produce accurate, high‑quality outputs.
- Confident building collaborative relationships with colleagues across the organisation.
- Keen to develop skills in areas such as SQL, Power BI, digital analytics, and quantitative & qualitative research.
- Play an important role in transforming high‑quality data into meaningful insights that inform decision‑making across Tate.
- #J-18808-Ljbffr
StudySmarter Expert Advice🤫
We think this is how you could land TG34309782 Data Officer in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace TG34309782 Data Officer 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!
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 Tate, 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 Tate. 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 Tate
✨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 Tate!
✨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.
