Senior Data Consultant

2 weeks ago


Surrey Quays, United Kingdom Velocity Tech Full time

We are seeking a Data Analytics Consultant to guide our growth, innovate, and mentor others. This client-facing role primarily focuses on delivering enterprise-level applications in the Business Intelligence and Data Analytics arena. The ideal candidate will be comfortable speaking with clients and occasional travel is expected.


Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below.

Key Responsibilities:

  • Work on projects utilising products within the Microsoft Azure and SQL Data analytics stack.
  • Meet and exceed customer expectations and requirements.
  • Support the development of colleagues.
  • Contribute to the internal and external community.

Required Experience & Skills:

  • Industry experience in delivering Microsoft Azure/SQL Data Analytics solutions.
  • Proven written and spoken English skills.
  • Strong strategic and operational decision-making skills.
  • Outstanding interpersonal skills.
  • Proactive attitude towards investigating and sharing new technologies.
  • Ability to guide, direct, and influence people.
  • Ability to identify opportunities and issues.
  • Willingness to learn and grow based on feedback.
  • Capability to mentor and help others develop.
  • Ideally degree-educated in computer science, data analysis, or related fields.
  • Microsoft certifications are a plus, but not mandatory.

Technical Skills:

We value diverse skills and understand that people excel in different areas. You should be comfortable with at least three of the core technologies listed below and have an interest in at least four others from the core, supporting, or principles categories. Current Microsoft certifications are advantageous, and we will support you in obtaining them.

Core:

  • SQL Server (T-SQL and DBA)
  • Data Analytics stack (IS, AS, RS)
  • Power BI, DAX
  • MDS
  • Azure Data Lakes

Supporting:

  • Azure ML
  • .Net/HTML5
  • Azure infrastructure
  • R, Python
  • Powershell
  • Hadoop, Data Factory

Principles:

  • Data Modelling
  • Data Warehouse Theory
  • Data Architecture
  • Master Data Management
  • Data Science


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