Data Analyst in London

Data Analyst in London

London Full-Time 40000 - 45000 £ / year (est.) No working from home possible
Onyx-Conseil

At a Glance

  • Tasks: Analyse data to support decision-making and optimise business intelligence.
  • Company: Dynamic organisation based in Holborn, London.
  • Benefits: Competitive salary of £40K - £45K and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement and data culture.
  • Why this job: Make a real impact by transforming data into actionable insights.
  • Qualifications: 5 years of data analysis experience and proficiency in Python and SQL.

The predicted salary is between 40000 - 45000 £ 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.

The following skills are Essential:

  • 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 in London employer: Onyx-Conseil

Our Client in Holborn, London, is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal environment for Data Analysts seeking to make a meaningful impact. With a strong commitment to employee growth, the company offers ample opportunities for professional development and encourages a data-driven culture that empowers staff to contribute to strategic decision-making. Additionally, the competitive salary range of £40K - £45K reflects the value placed on expertise and experience, ensuring that employees are rewarded for their contributions.

Onyx-Conseil

Contact Details:

Onyx-Conseil Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst in London

Tip Number 1

Network like a pro! Reach out to your connections in the data analysis field, attend industry meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data projects, visualisations, and any reports you've produced. This gives potential employers a taste of what you can do and sets you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical skills and problem-solving abilities.

Tip Number 4

Don't forget to apply through our website! We regularly update our job listings, and applying directly can sometimes give you an edge. Plus, it shows you're genuinely interested in joining our team!

We think you need these skills to ace Data Analyst in London

Data Analysis
Python
SQL
Business Intelligence
Problem-Solving Skills
Analytical Skills
Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Analyst role. Highlight your experience with data processing, analysis, and any relevant programming languages like Python and SQL. We want to see how your skills match what we're looking for!

Showcase Your Achievements:Don’t just list your responsibilities; showcase your achievements! Use specific examples of how you've improved data quality or contributed to business intelligence in previous roles. This helps us see the impact you can make.

Keep It Clear and Concise:When writing your application, keep it clear and concise. Use bullet points where possible and avoid jargon. We appreciate straightforward communication, especially since excellent written skills are essential for this role.

Apply Through Our Website:Finally, don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing candidates who follow instructions!

How to prepare for a job interview at Onyx-Conseil

Know Your Data Inside Out

Before the interview, make sure you have a solid understanding of data analysis concepts and the specific tools mentioned in the job description, like Python, SQL, and PowerBI. Brush up on your knowledge of data quality assurance and how to clean and process data effectively.

Showcase Your Problem-Solving Skills

Prepare examples from your past experience where you've tackled complex data challenges. Be ready to discuss how you approached these problems, the methods you used, and the outcomes. This will demonstrate your analytical skills and ability to contribute to business intelligence.

Communicate Clearly and Effectively

Since excellent communication skills are essential for this role, practice explaining technical concepts in simple terms. You might be asked to present data findings or collaborate with different departments, so being able to convey your insights clearly is key.

Understand the Company’s Data Culture

Research the company’s approach to data and its stakeholders. Familiarise yourself with their data strategy and think about how you can contribute to fostering a data culture. Showing that you understand their needs and how you can help meet them will set you apart.