At a Glance
- Tasks: Analyse large datasets to uncover trends and deliver actionable insights.
- Company: Join a growing tech business with a focus on data-driven decision-making.
- Benefits: Competitive daily rate, fully remote work, and potential for contract extension.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make an impact by transforming complex data into clear visualisations and reports.
- Qualifications: Strong SQL skills and experience with Power BI or Tableau required.
The predicted salary is between 30000 - 35000 £ per year.
Role: Data Analyst (Contract) - Outside IR35
Location: Fully Remote (UK)
Rate: £300-£350 per day
Contract: Initial 6 Months (Likely Extension)
Key Skills:
- SQL
- Power BI
- ETL
- Databricks
We're currently supporting a growing technology business that is looking to engage an experienced Data Analyst on a fully remote contract basis. This role will suit someone who is highly analytical, commercially minded, and comfortable working with large datasets to deliver meaningful insights that support business decision-making. You'll work closely with stakeholders across the business, helping transform complex data into clear, actionable reporting and visualisations.
Key Responsibilities:
- Analyse large and complex datasets to identify trends, patterns, and business insights
- Develop and maintain dashboards and reporting solutions using Power BI and Tableau
- Write complex SQL queries to extract, manipulate, and analyse data
- Support data integration and migration activities
- Work with ETL processes to ensure accurate and reliable data flows
- Collaborate with business stakeholders to understand reporting requirements and deliver data-driven solutions
- Present findings and recommendations to both technical and non-technical audiences
Required Skills & Experience:
- Strong commercial experience as a Data Analyst
- Advanced SQL skills, with the ability to query and manipulate large datasets
- Strong experience with Power BI and/or Tableau
- Good understanding of ETL processes and data pipelines
- Experience working with Databricks from an analytical perspective (querying, analysing and consuming data rather than building engineering solutions)
- Strong stakeholder management and communication skills
- Experience working within Agile delivery environments
Desirable:
- Experience supporting data migration or integration projects
- Background within SaaS, technology, telecommunications, or data-driven organisations
- Exposure to cloud-based data platforms
Data Analyst (Contract) in London employer: Digital Waffle
Join a dynamic and innovative technology business that values analytical talent and fosters a collaborative work culture. As a fully remote Data Analyst, you'll enjoy the flexibility of working from anywhere in the UK while contributing to impactful projects that drive business decisions. With opportunities for professional growth and a focus on employee development, this role offers a rewarding experience for those looking to make a meaningful impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst (Contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data visualisations and analyses. This is your chance to shine and demonstrate how you can turn complex data into actionable insights.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Power BI skills. Be ready to discuss your past projects and how you’ve used data to drive business decisions. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Analysts. Your next contract could be just a click away, so get your application in!
We think you need these skills to ace Data Analyst (Contract) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL, Power BI, and ETL processes. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Analyst role. Share specific examples of how you've transformed complex data into actionable insights in previous roles.
Showcase Your Analytical Skills:In your application, emphasise your ability to analyse large datasets and present findings clearly. We love candidates who can communicate complex information effectively, so give us a taste of your analytical prowess!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Digital Waffle
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries you've written and how they helped in your previous roles. Practising some common SQL problems can really help you feel confident.
✨Show Off Your Power BI Skills
Since this role involves developing dashboards, be ready to showcase your experience with Power BI. Bring examples of dashboards you've created and be prepared to explain the thought process behind your design choices and how they provided insights.
✨Understand ETL Processes
Familiarise yourself with ETL processes and be ready to discuss how you've worked with them in the past. Highlight any specific tools or methods you've used to ensure data accuracy and reliability, as this will show your technical competence.
✨Communicate Clearly with Stakeholders
This role requires strong stakeholder management skills, so think about times when you've successfully communicated complex data insights to non-technical audiences. Prepare a couple of examples that demonstrate your ability to translate data into actionable recommendations.
