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For Companies At a Glance
- Tasks: Lead data analysis, collaborate with teams, and create impactful reports.
- Company: Join a dynamic company focused on data-driven decision-making.
- Benefits: Enjoy a competitive salary, bonus, and flexible work arrangements.
- Why this job: Be at the forefront of data insights that drive strategic initiatives.
- Qualifications: Proficiency in SQL, data visualisation tools, and basic Python or R experience required.
- Other info: Work in a hybrid model, with two days in the office.
The predicted salary is between 72000 - 108000 £ per year.
Salary: £90k + bonus
Location: 2 days in office (EC2)
About the Role
As a Lead Data Analyst, you will work closely with business stakeholders, data engineers, and data scientists to ensure accurate and effective data-driven decision-making. You will be responsible for uncovering data insights, ensuring data quality, and developing compelling reports and visualisations that drive strategic initiatives.
Key Responsibilities:
- Business Requirements & Data Discovery
- Collaborate with stakeholders to define use cases, success criteria, and data-driven opportunities.
- Translate business needs into actionable data requirements.
- Data Extraction & Preparation
- Work with data engineers to identify and ingest necessary data sources.
- Validate data lineage, data dictionaries, and mappings.
- Data Validation & Quality Control
- Conduct data profiling, anomaly detection, and data cleansing.
- Implement data quality checks to ensure accuracy and reliability.
- Reporting & Visualisation
- Create dashboards, reports, and visualisations to present key insights.
- Effectively communicate findings to both technical and non-technical audiences.
- Collaboration & Stakeholder Management
- Act as the key liaison between technical teams and business units.
- Manage stakeholder expectations and facilitate clear communication.
Key Skills:
- Understanding of relational data modelling, data flow diagrams, and ETL/ELT processes.
- Proficiency in SQL and data visualisation tools such as Power BI or Tableau.
- Basic experience with Python or R for data exploration.
- Strong statistical knowledge to interpret patterns, trends, and relationships.
- Ability to transform data findings into actionable business insights.
Data Analytics Lead employer: McCabe & Barton
Contact Detail:
McCabe & Barton Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics Lead
✨Tip Number 1
Network with professionals in the data analytics field, especially those who work at StudySmarter or similar companies. Attend industry meetups or webinars to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Familiarise yourself with the specific data visualisation tools mentioned in the job description, like Power BI or Tableau. Consider creating a portfolio of sample dashboards that showcase your ability to present data insights effectively.
✨Tip Number 3
Brush up on your SQL skills, as this is crucial for the role. You might want to work on some real-world projects or challenges that require data extraction and manipulation to demonstrate your proficiency.
✨Tip Number 4
Prepare to discuss how you've previously collaborated with stakeholders to translate business needs into actionable data requirements. Think of specific examples that highlight your communication skills and ability to manage expectations.
We think you need these skills to ace Data Analytics Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analytics, particularly your skills in SQL, data visualisation tools like Power BI or Tableau, and any experience with Python or R. Use keywords from the job description to align your CV with the role.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data analytics and how your previous experiences have prepared you for this role. Mention specific projects where you collaborated with stakeholders or created impactful reports and visualisations.
Showcase Your Technical Skills: Include examples of your proficiency in relational data modelling, ETL/ELT processes, and any statistical analysis you've conducted. If possible, provide links to dashboards or reports you've created to demonstrate your ability to present data insights effectively.
Prepare for Potential Questions: Anticipate questions related to data quality control, stakeholder management, and how you translate business needs into actionable data requirements. Be ready to discuss specific examples that showcase your problem-solving skills and ability to communicate findings to diverse audiences.
How to prepare for a job interview at McCabe & Barton
✨Know Your Data Tools
Make sure you're well-versed in SQL and the data visualisation tools mentioned in the job description, like Power BI or Tableau. Be prepared to discuss your experience with these tools and how you've used them to derive insights in past roles.
✨Showcase Your Collaboration Skills
As a Lead Data Analyst, you'll need to work closely with various stakeholders. Prepare examples of how you've successfully collaborated with technical teams and business units in the past, highlighting your communication skills and ability to manage expectations.
✨Prepare for Technical Questions
Expect questions related to data modelling, ETL/ELT processes, and data quality checks. Brush up on these concepts and be ready to explain how you've applied them in real-world scenarios, as this will demonstrate your technical expertise.
✨Communicate Insights Effectively
You'll need to present your findings to both technical and non-technical audiences. Practice explaining complex data insights in simple terms, and consider preparing a mock presentation to showcase your reporting and visualisation skills.
