At a Glance
- Tasks: Lead a data analytics team and drive data-driven decision-making across the organisation.
- Company: Join a forward-thinking company in Bath, UK, focused on innovation and collaboration.
- Benefits: Competitive salary, professional development, and a supportive work environment.
- Other info: Exciting opportunities for career growth in a dynamic industry.
- Why this job: Make a real impact by delivering actionable insights and fostering a data-driven culture.
- Qualifications: 5+ years in data analysis, leadership experience, and proficiency in analytics tools.
The predicted salary is between 49253 - 60198 £ per year.
We are seeking a highly skilled and experienced Data and Reporting Manager to join our organisation in Bath, United Kingdom. In this pivotal role, you will lead our data analytics team, driving data-driven decision-making across the company and ensuring the delivery of high-quality, actionable insights to key stakeholders.
Responsibilities
- Oversee the development and implementation of data analytics strategies aligned with organisational goals
- Manage a team of data analysts, providing mentorship, guidance, and professional development opportunities
- Design and maintain robust reporting systems and dashboards to support business intelligence initiatives
- Collaborate with cross-functional teams to identify data requirements and deliver insightful analyses
- Ensure data quality, integrity, and security across all reporting and analytics processes
- Develop and implement data governance policies and procedures
- Present complex data findings to senior management in a clear and concise manner
- Stay abreast of industry trends and emerging technologies in data analytics and business intelligence
- Optimise data collection, storage, and retrieval processes to enhance efficiency and accuracy
- Foster a data-driven culture within the organisation, promoting the use of analytics in decision-making
Requirements
- Bachelor's degree in Statistics, Computer Science, Business Analytics, or a related field; Master's degree preferred
- Minimum of 5 years' experience in data analysis and reporting, with at least 3 years in a leadership role managing data teams
- Advanced proficiency in data analysis and visualisation tools such as Tableau and Power BI
- Strong skills in statistical analysis software, including R, Python, or SAS
- Expertise in database management systems, particularly SQL and Oracle
- Advanced Microsoft Excel skills
- Demonstrated experience in project management methodologies
- In-depth knowledge of data governance, data quality management, and business intelligence best practices
- Familiarity with data privacy and security regulations, including GDPR
- Excellent analytical and problem-solving skills with a keen attention to detail
- Strong leadership and team management abilities
- Outstanding communication skills, both written and verbal, with the ability to present complex data to non-technical audiences
- Relevant certifications such as Certified Analytics Professional or Microsoft Certified: Data Analyst Associate are desirable
Data and Reporting Manager in Bath employer: Rotork
At Rotork, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Global MDM Lead – Finance & Product, you will have the opportunity to lead a dedicated team while benefiting from our commitment to employee growth through training and development programmes. Located in a dynamic environment, we offer competitive benefits and a chance to make a meaningful impact on our global operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Reporting Manager in Bath
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data and Reporting Manager in Bath
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 Rotork, 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 Rotork. 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 Rotork
✨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 Rotork!
✨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.
