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- Tasks: Transform data into actionable insights and support business strategies.
- Company: Roundpeg is a dynamic company focused on data-driven decision-making.
- Benefits: Enjoy remote work flexibility and the chance to make a real impact.
- Why this job: Join a collaborative team and enhance your analytical skills in a meaningful way.
- Qualifications: Bachelor’s degree in Data Science or related field; experience with SQL, Python, or R required.
- Other info: This is a three-month preliminary contract with potential for growth.
Roundpeg is looking for a talented Data Analyst to join our dynamic associate pool for a three-month preliminary contract. In this role, you will be crucial in transforming data into actionable insights that drive our organizational strategy and decision-making processes. You will work closely with various stakeholders to ensure that data is collected, analyzed, and reported in a manner that supports our business objectives.
Key Responsibilities:
- Collect, clean, and analyze large datasets from various sources to identify trends and patterns that inform business strategies.
- Develop and maintain dashboards and reports to communicate findings to stakeholders effectively.
- Collaborate with cross-functional teams to understand their data needs and provide analytical support.
- Implement data quality checks and ensure compliance with data governance standards.
- Utilize statistical techniques and data visualization tools to present complex information clearly and compellingly.
- Assist in the design and execution of A/B testing and other experimental designs to evaluate the impact of initiatives.
This is a fantastic opportunity for someone with a passion for data and a strong analytical mindset to make a real impact on our business.
Requirements:
- Bachelor’s degree in Data Science, Statistics, Mathematics, or a related field.
- Proven experience as a Data Analyst or in a similar analytical role.
- Strong proficiency in data analysis tools and languages such as SQL, Python, or R.
- Experience with data visualization tools (e.g., Tableau, Power BI) to create insightful dashboards.
- Excellent analytical and problem-solving skills, with a keen attention to detail.
- Strong communication skills, able to present complex data insights to non-technical stakeholders.
- Ability to work independently and collaboratively in a team-oriented environment.
- Familiarity with statistical analysis techniques and methodologies.
Data Analyst at Roundpeg – United Kingdom (Remote) employer: Dataleum
Contact Detail:
Dataleum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst at Roundpeg – United Kingdom (Remote)
✨Tip Number 1
Familiarise yourself with Roundpeg's business model and the industries they operate in. Understanding their specific data needs and challenges will help you tailor your discussions and demonstrate how your skills can directly benefit their objectives.
✨Tip Number 2
Brush up on your SQL, Python, and data visualisation tools like Tableau or Power BI. Being able to showcase your proficiency in these areas during interviews will give you a significant edge, as these are crucial for the role.
✨Tip Number 3
Prepare examples of past projects where you've successfully transformed data into actionable insights. Be ready to discuss the methodologies you used and the impact your analyses had on decision-making processes.
✨Tip Number 4
Network with current or former employees of Roundpeg on platforms like LinkedIn. Engaging with them can provide valuable insights into the company culture and expectations, which can be beneficial during your interview.
We think you need these skills to ace Data Analyst at Roundpeg – United Kingdom (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Data Analyst role at Roundpeg. Emphasise your proficiency in data analysis tools like SQL, Python, or R, and mention any experience with data visualisation tools such as Tableau or Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and analytical mindset. Discuss specific projects where you've transformed data into actionable insights and how you can contribute to Roundpeg's objectives.
Showcase Relevant Projects: If you have worked on any relevant projects, either professionally or academically, include them in your application. Highlight your role, the tools you used, and the impact of your work on decision-making processes.
Prepare for Potential Assessments: Be ready for potential assessments or tests that may evaluate your data analysis skills. Brush up on statistical techniques and data visualisation methods to ensure you can demonstrate your expertise effectively.
How to prepare for a job interview at Dataleum
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analysis tools like SQL, Python, or R in your previous roles. Highlight any projects where your insights led to significant business decisions.
✨Demonstrate Data Visualisation Expertise
Familiarise yourself with data visualisation tools such as Tableau or Power BI. Bring along examples of dashboards you've created and be ready to explain the thought process behind your designs.
✨Communicate Clearly
Practice explaining complex data insights in simple terms. Remember, you'll need to present findings to non-technical stakeholders, so clarity is key. Consider using storytelling techniques to make your points more relatable.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about past experiences where you had to clean data, implement quality checks, or collaborate with teams. Be ready to walk through your thought process step-by-step.
