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- Tasks: Analyse data sets, generate reports, and provide insights to support business decisions.
- Company: Join a creative and collaborative team focused on innovation.
- Benefits: Competitive salary, flexible hours, remote work, and professional development opportunities.
- Other info: Enjoy team-building activities and a strong company culture.
- Why this job: Make an impact by driving data-driven strategies in a dynamic environment.
- Qualifications: 1-2 years of data analysis experience and proficiency in SQL and data visualisation tools.
The predicted salary is between 30000 - 40000 £ per year.
We are seeking a detail-oriented Data Analyst with 1-2 years of experience to join our team. In this role, you will be responsible for analyzing data sets, generating reports, and providing actionable insights to support business decisions. The ideal candidate will have a strong foundation in SQL for data extraction, proficiency in data visualization tools like Tableau or Power BI, and basic programming skills in Python or R. You will work closely with cross-functional teams to enhance data-driven strategies and ensure data integrity across our systems.
Responsibilities
- Oversee and maintain master data management.
- Manage user access and roles to ensure data security and compliance with standards.
- Create reports and analyses to fulfill stakeholder requirements.
- Design and oversee the reporting environment, managing data sources, security, and metadata.
- Collaborate with the data warehouse team to identify and refine reporting needs.
- Drive initiatives to improve data integrity and normalization across systems.
- Perform quality assurance on imported data, working closely with quality assurance teams as necessary.
- Troubleshoot and resolve issues within the reporting database environment.
- Produce detailed reports from various data sources for analysis and informed decision-making.
- Initiate and terminate data sets based on project needs.
- Review changes and updates to source production systems to maintain data accuracy.
- Handle sensitive information following established guidelines and best practices.
- Evaluate and implement new or upgraded software, aiding in strategic decisions about data systems.
- Train and support end-users on new reporting tools and dashboards.
- Provide technical expertise in data storage structures, data mining, and data cleansing methodologies.
Requirements
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- 1-2 years of experience in data analysis or a similar role.
- Proficiency in SQL for data extraction and manipulation.
- Familiarity with data visualization tools such as Tableau or Power BI.
- Basic knowledge of programming languages like Python or R for data analysis.
- Understanding of data warehousing concepts and ETL processes.
- Experience with data quality and validation techniques.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy in data handling.
- Good communication skills for presenting findings to stakeholders.
- Ability to work collaboratively in a team environment.
- Familiarity with statistical analysis and data modeling.
- Experience with CRM or ERP systems is a plus.
- Knowledge of data protection regulations like GDPR is a plus.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional growth and development through training programs and workshops.
- A creative and collaborative work environment that encourages innovation.
- Flexible working hours and remote work options.
- Team-building activities and social events to foster a strong company culture.
Data Analyst employer: RDX Sports
Contact Detail:
RDX Sports Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Create a portfolio showcasing your data analysis projects. Whether it’s a cool visualisation in Tableau or a Python script that solved a problem, having tangible examples of your work can really impress potential employers. Don’t forget to share it on LinkedIn!
✨Ace the Interview
Prepare for common data analyst interview questions and be ready to discuss your past experiences. Practice explaining your thought process when tackling data problems, and don’t shy away from showcasing your SQL skills. Confidence is key!
✨Apply Through Our Website
When you find a job that fits, apply directly through our website! It shows you’re genuinely interested and makes it easier for us to spot your application. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, data visualisation tools like Tableau or Power BI, and any programming skills in Python or R. We want to see how your background aligns with the Data Analyst role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data analysis and how you can contribute to our team. Mention specific experiences that demonstrate your analytical skills and attention to detail.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex data challenges or improved data integrity. We love candidates who can think critically and provide actionable insights, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to upload your tailored CV and cover letter in one go. Let’s get your application rolling!
How to prepare for a job interview at RDX Sports
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with data visualisation tools like Tableau or Power BI. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Analytical Skills
Prepare to share specific examples of how you've analysed data sets and provided actionable insights. Think about a time when your analysis led to a significant business decision and be ready to explain your thought process.
✨Understand Data Integrity
Since maintaining data integrity is crucial for this role, be prepared to discuss your experience with data quality and validation techniques. Highlight any relevant projects where you ensured data accuracy and compliance with standards.
✨Communicate Effectively
Good communication skills are key, especially when presenting findings to stakeholders. Practice explaining complex data concepts in simple terms, and think about how you can demonstrate your ability to collaborate with cross-functional teams during the interview.