At a Glance
- Tasks: Create impactful dashboards and reports to drive business decisions and improve revenue visibility.
- Company: Join a dynamic company at the forefront of reporting and analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting environment with potential for career advancement in logistics and operations.
- Why this job: Make a real difference by enhancing operational performance and supporting strategic projects.
- Qualifications: Strong Tableau and SQL skills, with experience in data analysis and stakeholder collaboration.
The predicted salary is between 40000 - 50000 £ per year.
This is an opportunity to join a business at a pivotal stage in its reporting and analytics journey. You'll work closely with senior stakeholders to identify revenue opportunities, improve operational visibility, and deliver impactful reporting that supports commercial decision-making across the organisation.
The Role and Deliverables
- Capture and refine reporting requirements from stakeholders across finance and operations
- Assess existing data sources, improve data quality, and create robust reporting solutions
- Develop dashboards, scorecards, and management reports focused on revenue performance and operational efficiency
- Analyse key business drivers including pricing, journey metrics, resource utilisation, and maintenance activity
- Identify quick wins and opportunities to improve revenue visibility and operational performance
- Support strategic projects by delivering insights that inform commercial and planning decisions
Your Skills & Experience
- Strong experience building dashboards and reporting solutions in Tableau
- Advanced SQL skills with the ability to extract, manipulate, and analyse complex datasets
- Strong Excel capability for analysis and stakeholder reporting
- Experience gathering requirements and translating business needs into actionable reporting outputs
- Ability to work collaboratively with finance, operations, and senior business stakeholders
- Experience within logistics, transportation, supply chain, or other operationally focused environments
- Understanding of revenue optimisation, pricing analysis, or operational performance reporting
- Python experience is advantageous but not essential
- Exposure to ERP or operational systems such as NetSuite or similar platforms would be beneficial
Tableau Developer employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Tableau Developer
✨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 Harnham!
✨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 Tableau Developer at Harnham.
✨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 Harnham.
✨Apply Directly through Our Website
When you find a suitable opening like Tableau Developer at Harnham, 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 Tableau Developer
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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
