At a Glance
- 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 31500 - 38500 £ 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.
- #J-18808-Ljbffr
Data Analyst in Manchester employer: RDX Sports
As a Global Communications and Content Manager, you will thrive in a creative and collaborative work environment that values innovation and professional growth. Our company offers a competitive salary and benefits package, along with flexible working hours and remote work options, ensuring a healthy work-life balance. Join us to be part of a dynamic team that fosters strong company culture through team-building activities and social events, making it an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Manchester
✨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 RDX Sports!
✨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 Data Analyst at RDX Sports.
✨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 RDX Sports.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at RDX Sports, 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 Data Analyst in Manchester
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 RDX Sports, 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 RDX Sports. 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 RDX Sports
✨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 RDX Sports!
✨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.
