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- Tasks: Join us as a Data Analyst to optimise business intelligence and decision-making.
- Company: We're a dynamic organisation based in Holborn, London, focused on data-driven solutions.
- Benefits: Enjoy a competitive salary of £40K - £45K and opportunities for professional growth.
- Why this job: Be part of a collaborative culture that values data integrity and innovation.
- Qualifications: You need a relevant degree and experience in data analysis, Python, and SQL.
- Other info: Work with diverse teams and contribute to impactful projects on a national and international scale.
The predicted salary is between 32000 - 36000 £ per year.
Our Client is looking to recruit a Data Analyst with at least 5 years proven experience. As a Data Analyst you will ensure that all data is processed and quality assured so that it can be analysed through appropriate systems with a view to the production of reports that can assist the Client services and other stakeholders make effective decisions and support the assessment of indicators and other business intelligence processes.
Key Responsibilities:
- Day to day implementation and overview of the business's data strategy to ensure that organisational data is systematised with a view to optimising business intelligence and decision-making.
- Clear knowledge of all the data sources within the organisation, including the CRM and other information systems, and ability to work on those sources either individually, together or identify new sources that can inform effective operation.
- Knowledge of all relevant procedures to ensure that optimal data is used, including the cleaning, analysis and processing of data.
- Putting in place effective and robust systems of quality to ensure the highest integrity of data.
- Working with the IT department on data analysis, including developing key formulas, working with APIs and data mining, particularly through appropriate relational and other databases, with a view to extracting the information that is needed for the growth of the organisation.
- Enabling the effective and accurate production of all reports, visuals, dashboards and other outputs to allow different parts of the organisation to make better individual and collective decisions.
- Facilitating the transformation of data to information and knowledge, and helping the different parts of the organisation to share such information and knowledge so as to maximise collaboration and the aims of the organisation.
- Supporting business intelligence so that the decisions are underpinned by key, effective and relevant data.
- Enabling the organisation to measure key performance and other indicators and score carding, and contributing to the development of metric and indicator-based systems that allow for integration and a system of continuous improvement.
- Collaborating with all departments including the IT department, education and training, marketing and policy and research on data usage.
- Minimising all data risks, security breaches, financial and other risks and working with relevant services to ensure that data is handled in a way that is compliant with relevant legislation and other frameworks.
- Furthering a data culture that enables the organisation to meet the needs of its stakeholders, both nationally and internationally, including its members.
Essential Skills:
- Relevant higher education qualification in data analysis, including programming languages such as Python and SQL.
- Substantial experience working in data analysis within an organisational setting.
- Excellent problem solving, analytical and business intelligence skills, especially working with large datasets.
- Excellent written and verbal communication skills in the English language.
- Ability to manage multiple projects adhering to logistics, timescales and deadlines.
- IT literate and experience of using MS Dynamics and Office (including Word, Excel and Outlook).
- Experience of using visualisation tools such as PowerBI.
The salary for this role will be in the range £40K - £45K. Do send your CV to us in Word format and include your salary availability.
Data Analyst employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as PowerBI and MS Dynamics. Having hands-on experience or even a project to showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Network with current or former employees of the organisation. They can provide valuable insights into the company culture and expectations, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience with data quality assurance and how you've implemented systems to ensure data integrity in past roles. Real-life examples will demonstrate your capability and understanding of the role's requirements.
✨Tip Number 4
Stay updated on the latest trends in data analysis and business intelligence. Being able to discuss recent developments or tools in the field during your interview can show your passion and commitment to continuous learning.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis, particularly focusing on your proficiency with programming languages like Python and SQL. Include specific examples of projects where you've successfully managed large datasets.
Craft a Strong Cover Letter: Write a cover letter that clearly outlines your understanding of the role and how your skills align with the key responsibilities mentioned in the job description. Emphasise your problem-solving abilities and experience with business intelligence.
Showcase Your Technical Skills: In your application, mention your familiarity with tools such as MS Dynamics, PowerBI, and any other relevant software. Highlight your experience in data cleaning, analysis, and reporting to demonstrate your capability in handling data effectively.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any grammatical errors or typos. Ensure that your documents are well-structured and clearly communicate your qualifications and enthusiasm for the role.
How to prepare for a job interview at Onyx-Conseil
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Python and SQL during the interview. Be prepared to discuss specific projects where you used these skills, as well as any relevant tools like PowerBI that you've worked with.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. Discuss your analytical approach and how you derived insights from large datasets, as this will show your potential employer that you can handle the demands of the role.
✨Understand the Company's Data Strategy
Research the company's current data strategy and be ready to discuss how you can contribute to optimising their business intelligence. Showing that you understand their needs and have ideas for improvement will set you apart from other candidates.
✨Communicate Clearly and Effectively
Since excellent communication skills are essential for this role, practice explaining complex data concepts in simple terms. This will demonstrate your ability to collaborate with different departments and ensure that everyone understands the insights derived from the data.
