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For Companies At a Glance
- Tasks: Analyse data sets, generate reports, and provide insights for business decisions.
- Company: Join a dynamic team focused on data-driven strategies and innovation.
- Benefits: Enjoy flexible hours, remote work options, and a competitive salary package.
- Why this job: Be part of a creative environment that values collaboration and professional growth.
- Qualifications: Bachelor’s degree in a related field and 1-2 years of data analysis experience required.
- Other info: Familiarity with GDPR and CRM systems is a plus.
The predicted salary is between 28800 - 43200 £ 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.
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Data Analyst employer: RDX Sports
Contact Detail:
RDX Sports Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with SQL and data visualisation tools like Tableau or Power BI. Consider working on personal projects or contributing to open-source projects that showcase your skills in these areas, as practical experience can set you apart.
✨Tip Number 2
Network with professionals in the data analysis field. Attend industry meetups, webinars, or online forums where you can connect with others and learn about potential job openings at companies like us.
✨Tip Number 3
Prepare to discuss your analytical process during interviews. Be ready to explain how you approach data problems, the tools you use, and how your insights have positively impacted previous projects or teams.
✨Tip Number 4
Stay updated on the latest trends in data analysis and data protection regulations like GDPR. This knowledge not only enhances your skill set but also shows potential employers that you are proactive and committed to your professional development.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, SQL proficiency, and familiarity with data visualisation tools like Tableau or Power BI. Use specific examples to demonstrate your skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the Data Analyst role and how your background aligns with the responsibilities outlined in the job description. Mention any relevant projects or achievements that showcase your analytical skills.
Showcase Technical Skills: Clearly list your technical skills, especially your proficiency in SQL, Python or R, and any experience with data warehousing concepts. This will help you stand out as a candidate who meets the job requirements.
Prepare for Potential Questions: Anticipate questions related to data integrity, quality assurance, and your experience with reporting tools. Be ready to discuss how you've handled data-related challenges in previous roles.
How to prepare for a job interview at RDX Sports
✨Brush Up on SQL Skills
Since the role requires proficiency in SQL for data extraction, make sure to review your SQL knowledge. Be prepared to answer questions about complex queries, joins, and data manipulation techniques, as well as demonstrate your ability to write efficient SQL code.
✨Showcase Data Visualisation Experience
Familiarity with tools like Tableau or Power BI is essential. Bring examples of reports or dashboards you've created in the past, and be ready to discuss how you used these tools to present data insights effectively to stakeholders.
✨Demonstrate Problem-Solving Skills
The interviewers will likely want to see how you approach data-related challenges. Prepare to discuss specific instances where you've identified data quality issues or resolved problems within a reporting database environment, highlighting your analytical thinking.
✨Communicate Clearly
Good communication skills are crucial for presenting findings to stakeholders. Practice explaining complex data concepts in simple terms, and be ready to discuss how you would train end-users on new reporting tools and dashboards.
