At a Glance
- Tasks: Automate reports and create insightful dashboards using Python, Power BI, and Excel.
- Company: Join a forward-thinking company in Watford focused on data-driven decisions.
- Benefits: Gain hands-on experience, competitive pay, and opportunities for professional growth.
- Other info: Dynamic role with a focus on automation and analytics in a collaborative environment.
- Why this job: Make an impact by transforming data into actionable insights and visualisations.
- Qualifications: Bachelor’s degree in statistics or related field; skills in SQL, Python, and Power BI required.
The predicted salary is between 30000 - 40000 £ per year.
Location: Watford
Duration: 6 Months
Key Responsibilities
- Automate report data inputs (e.g., Python, Excel Power Query, Power BI, Power Automate) linked to centralized data sources.
- Ensure data integrity, accuracy, and consistency across all reports during and after migration.
- Communicate analysis of work and summarise findings to business partners.
- Maintain documentation on report logic, data transformations, and automation processes.
- Support with adhoc data analysis tasks.
- Create new and adjust existing PowerBi dashboards and automation tasks.
- Pull data from a range of sources and transform into Datasets.
Key Skills, Knowledge & Experience
- Strong analytical skills and attention to detail, with a focus on delivering results.
- Demonstrable ability to interpret data to provide clear, meaningful, and practical insights to a non-technical audience.
- A Bachelor’s degree or equivalent qualification in statistics or a relevant field of study.
- Proven skillset in SQL, Python, PowerBi, Excel, and Power Automate.
- Solid understanding of relational databases and SQL for querying and data validation.
- Able to work self-sufficiently to meet deadlines.
- Maintain existing and create new analytics to measure performance of initiatives.
- Experience of Supply Chain preferred.
Data & Analytics Responsibilities
- Transforming manual reporting processes into fully automated reports.
- End-to-end dashboard development:
- ETL (Extract, Transform, Load) processes.
- Front-end visualisation design and build.
- Developing and maintaining Power Automate flows.
- Performing general data analysis:
- Year-on-year (YoY) comparisons.
- Month-by-month trend analysis.
- Data validation and cleansing:
- Working with third-party data sources.
- Resolving quality issues and ensuring data accuracy.
- Managing and working with databases:
- MS Access.
- SQL Server.
Data Analytics Associate: Automate & Visualize Insights in Watford employer: Lorien
As a Data Analytics Associate in Watford, you will join a dynamic team that values innovation and collaboration, offering a supportive work culture that encourages professional growth. With access to cutting-edge tools and technologies, employees are empowered to automate processes and visualise insights, ensuring meaningful contributions to the business. The company prioritises employee development through training opportunities and fosters a flexible environment that promotes work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Associate: Automate & Visualize Insights in Watford
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
We think you need these skills to ace Data Analytics Associate: Automate & Visualize Insights in Watford
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
