At a Glance
- Tasks: Lead data governance initiatives and ensure compliance with data standards across the business.
- Company: Dynamic company in London focused on data excellence.
- Benefits: Competitive salary, career development opportunities, and a collaborative work environment.
- Other info: Join a culture that values data ownership and accountability.
- Why this job: Make a real impact by promoting data quality and driving best practices.
- Qualifications: Strong knowledge of data governance tools and advanced data manipulation skills.
The predicted salary is between 43000 - 62000 £ per year.
The Data Reporting Manager will promote, facilitate and implement strong data standards, be responsible for defining and delivering data governance activities that support operational objectives, prioritising the most material data sets and enabling an effective data operating model.
Key Responsibilities
- Promoting and communicating the value of data standards across the business, ensuring they are clearly understood and consistently applied.
- Tracking, monitoring and reporting on business compliance with data standards.
- Driving the use of automated data quality tools.
- Ensuring operational activities are aligned to data standards and data governance objectives.
- Working collaboratively with teams across the business to build a strong culture of data ownership and accountability.
- Partnering with data owners to report on data quality issues and understand their root causes.
- Advising on data governance best practice.
Technical Requirements
The following are essential for this role:
- Knowledge of data quality and data governance analytical tools.
- Strong data manipulation skills, including the application of advanced formulae.
- Good understanding of Microsoft Power BI, Excel (advanced), Word, PowerPoint and Outlook.
Desirable:
Knowledge of how insurance company data sets are used.
Data Reporting Manager employer: i3
Join a forward-thinking organisation at the forefront of digital transformation in the London Insurance Market, where your role as a Delivery Manager will be pivotal in shaping the future of technology delivery. With a collaborative and Agile culture, you'll benefit from significant investment in your professional growth, while enjoying a hybrid working model that promotes work-life balance. This is an exceptional opportunity to make a meaningful impact in a dynamic environment that values innovation and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Reporting Manager
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Reporting Manager
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 i3, 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 i3. 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 i3
✨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 i3!
✨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.
