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- Tasks: Lead data analytics projects and deliver insights for the Rail industry.
- Company: Join TieTalent, a growing consultancy focused on data solutions.
- Benefits: Enjoy 20 days holiday, pension, healthcare, and bonuses.
- Why this job: Make an impact in data analytics while mentoring junior analysts in a hybrid work environment.
- Qualifications: Strong experience in SQL, data visualisation tools, and statistical analysis preferred.
- Other info: Ideal start date is June/July 2025; cloud platform knowledge is a plus.
The predicted salary is between 28000 - 42000 £ per year.
Join a growing data analytics consultancy specialising in delivering data insight solutions for the Rail industry.
Location: Derby (Hybrid)
Employment Type: Permanent
Salary: £35,000 (DOE) + Benefits
Start Date: Ideally June/July 2025
Key skills, experience + tasks will include:
- Leading the development and delivery of Data Analytics solutions that support strategic decision-making for clients.
- Managing data solutions projects, including: data strategy, data sourcing, data wrangling, data modelling, data visualisation and data dashboards.
- Strong Data Analytics experience including SQL and data visualisation tools (PowerBI, Tableau or Looker).
- Building interactive data dashboards and reports using Power BI or Tableau.
- Extracting, cleansing and modelling data from multiple sources to develop clear data insights.
- Statistical Analysis or Predictive Modelling Experience Preferred.
- Working with key stakeholders to scope data requirements and define data solutions.
- Driving continuous improvement in data analytics processes and data governance policies.
- Mentoring junior data analysts, data governance and establishing best practices for data analytics.
Advantageous: cloud platforms (AWS, Azure, GCP), Python/R data analysis, Rail industry experience.
Benefits include: 20 days holiday (plus BHs) + pension + healthcare + bonus + more.
Data Analytics Manager employer: TieTalent
Contact Detail:
TieTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Manager
✨Tip Number 1
Familiarise yourself with the specific data analytics tools mentioned in the job description, such as SQL, Power BI, and Tableau. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the rail industry or those already working at TieTalent. Engaging with them on platforms like LinkedIn can provide valuable insights into the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 3
Prepare to discuss your experience in managing data solutions projects. Be ready to share specific examples of how you've led projects from conception to delivery, particularly focusing on data strategy and visualisation.
✨Tip Number 4
Showcase your ability to mentor junior analysts and drive continuous improvement in data processes. Highlight any past experiences where you've established best practices or improved data governance policies, as this aligns well with the role's responsibilities.
We think you need these skills to ace Data Analytics Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly with SQL and data visualisation tools like Power BI or Tableau. Emphasise any leadership roles or projects that demonstrate your ability to manage data solutions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data analytics and how your skills align with the needs of TieTalent. Mention specific experiences where you've successfully delivered data insights or managed projects, especially in the Rail industry if applicable.
Showcase Your Technical Skills: Clearly list your technical skills related to data analytics, including any experience with cloud platforms (AWS, Azure, GCP) and programming languages (Python/R). Providing examples of how you've used these skills in past roles can strengthen your application.
Highlight Continuous Improvement Initiatives: Discuss any initiatives you've led or contributed to that improved data analytics processes or governance policies. This shows your proactive approach and commitment to enhancing data practices, which is crucial for the role.
How to prepare for a job interview at TieTalent
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and data visualisation tools like Power BI or Tableau. Prepare examples of how you've used these tools to create interactive dashboards or reports, as this is crucial for the role.
✨Demonstrate Leadership Experience
Since the role involves leading projects and mentoring junior analysts, be ready to discuss your previous leadership experiences. Share specific instances where you guided a team or drove a project to success.
✨Understand the Rail Industry
Familiarise yourself with the rail industry and its data analytics needs. Being able to discuss relevant trends or challenges in this sector will show your potential employer that you're genuinely interested and knowledgeable about their business.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to manage data projects. Think of scenarios where you've had to extract, cleanse, and model data from multiple sources, and be ready to explain your thought process.
