Senior Data Analyst
Job description
Job Title: Senior Data Analyst
Location: London
Salary: Up to £80k
Start: ASAP
Are you passionate about data and its transformational power? Do you thrive in dynamic environments where you can make a significant impact in a short period of time?
About the Role
I am looking for a talented Senior Data Analyst to join a new generation consultancy that operates across the UK and EU. This consultancy is built on the principles of engineering excellence and empowering people to make an impact. With a strong commitment to agile methodologies and modern tech stacks, this company offers an engaging and collaborative work environment.
Key Responsibilities
- Collaborate closely with business stakeholders to understand and address their data challenges.
- Analyse and cleanse data to ensure accuracy and integrity.
- Design and implement data storage solutions.
- Communicate effectively with team members and stakeholders.
Essential Skills and Experience
- SQL Mastery: Advanced proficiency in SQL for data manipulation and query optimisation.
- Data Modelling: Familiarity with design tools like Kimball and DataVault.
- OLAP and OLTP: Strong understanding of both Online Analytical Processing and Online Transaction Processing.
- Cloud Platforms: Experience with cloud services, preferably AWS or GCP.
- Data Models: Ability to create and implement both logical and physical data models.
- Mapping Specifications: Competence in creating detailed mapping specifications.
- Python: Knowledge of Python, particularly Pandas, for data analysis.
- Looker Core/LookML: Experience with Looker Core or LookML (not Looker Studio).
- User Acceptance Testing (UAT): Proficiency in planning and executing UAT.
- Data Dashboards: Ability to create insightful dashboards using tools like Tableau, Looker, PowerBI, or Qlik.
- Backlog Management: Familiarity with tools such as Jira or Azure DevOps.
- Agile Methodologies: Comfortable working in an agile environment.
If you are eager to join a forward-thinking consultancy where your expertise in data analysis can make a real difference, I would love to hear from you. Please apply with your updated CV.
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