Lead Data Analyst Tableau in Leeds

Lead Data Analyst Tableau in Leeds

Leeds Full-Time 31500 - 38500 £ / year (est.) Home office (partial)
M

At a Glance

  • Tasks: Lead a dynamic Data Analytics team and drive innovative data services for diverse clients.
  • Company: Join a forward-thinking company with a vibrant culture and hybrid working options.
  • Benefits: Enjoy free lunches, birthday off, discounted travel, and an Employee Assistance Programme.
  • Other info: Great opportunities for professional growth in a supportive and collaborative environment.
  • Why this job: Make a real impact by transforming data into valuable insights for various stakeholders.
  • Qualifications: Proven experience in data analysis, leadership, and advanced Power BI skills required.

The predicted salary is between 31500 - 38500 £ per year.

Working Style: Hybrid Working (up to 2 days at home)

  • Employee Assistance Programme (EAP)
  • Free On-site Parking
  • Regular Free Lunches & Company Socials
  • Birthday off work
  • Access to discounted holiday travel booking and dining

We’re searching for a highly skilled Lead Data Analyst to take ownership of our client’s established Data Analytics team and drive the evolution of their data services offering. This is a hands-on role working closely with clients on a diverse range of projects and data across marketing performance, sales, e-commerce, inventory and operations, using tools such as Power BI and Google Sheets to bring data to life in a way that’s intuitive, engaging and valuable to a diverse range of stakeholders.

Team Leadership & Development: Lead & coach the Data Analytics team, supporting professional development, encouraging knowledge sharing, and maintaining a positive working environment.

Client Relationship Management:

Power BI Development & Insight Delivery: Design, build, and maintain intuitive & white-labelled Power BI dashboards & reports, presenting insights, recommendations, and reporting solutions to both technical and non-technical stakeholders.

Data Integration, Modelling & Analytics: Extract, transform, and consolidate data from a variety of sources, building scalable data models and advanced DAX calculations to support KPI reporting, trend analysis, and business performance measurement.

Data Governance, Security & Compliance: Maintain and develop data governance standards, ensuring data accuracy, consistency, security, compliance, and the effective management of Power BI workspaces and Row-Level Security (RLS).

Data Quality Assurance: Monitor reporting environments, troubleshoot data issues, oversee scheduled refreshes, and ensure the highest standards of reporting accuracy across all client projects.

Identify opportunities to enhance reporting processes, methodologies, and analytical capabilities, helping to shape and strengthen the overall data service offering.

Previous experience: Previous experience as a Lead Data Analyst, Senior Data Analyst or similar is essential. Leadership / Management experience, including coaching, mentoring, and developing a team. Experience working within a Marketing Agency, Digital Agency, or Marketing Consultancy is preferred.

Technical Skills: Advanced expertise in Power BI Desktop & Service, Power Query (M), complex DAX, data modelling, workspace administration, and report deployment. Strong SQL skills, with experience querying, transforming, and consolidating data from multiple data sources. Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear, actionable business insights for clients and colleagues. Strong understanding of data governance, reporting accuracy, security, and best practice. Excellent attention to detail and the ability to manage multiple projects simultaneously. Experience with Google BigQuery, Azure, Python, R, or a broader understanding of business functions such as sales, inventory, operations, and financial KPI reporting would be highly advantageous.

We carefully review every CV and will contact shortlisted applicants by phone or email.

Lead Data Analyst Tableau in Leeds employer: Marmion

Join a leading FMCG manufacturer in Harrogate that prioritises employee development and offers a supportive work culture. With excellent training opportunities, a competitive salary, and a unique Panama shift pattern allowing for alternate weekends off, this company is dedicated to fostering long-term career growth while ensuring a healthy work-life balance. Experience the benefits of working in a highly automated environment where your skills will be valued and your contributions will drive continuous improvement.

M

Contact Details:

Marmion Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Analyst Tableau in Leeds

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Marmion!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Analyst Tableau at Marmion.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Marmion.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Analyst Tableau at Marmion, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Lead Data Analyst Tableau in Leeds

Power BI
DAX
Data Modelling
SQL
Data Integration
Data Governance
Data Quality Assurance

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 Marmion, 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 Marmion. 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 Marmion

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 Marmion!

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.