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SENIOR DATA ANALYST: (SQL DATABASES, QLIK, NO SQL)

Employer
Undisclosed Company
Location
London
Salary
£400 - £435 per day
Closing date
12 Oct 2018

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Sector
IT
Job Type
Permanent
Hours
Full-time

SENIOR DATA ANALYST: (SQL DATABASES, QLIK, NO SQL)

SENIOR DATA ANALYST: (SQL DATABASES, QLIK, NO SQL)

The work location is in LONDON and is a 3 Month contract paying £400 - £435 Per Day.

Responsibilities of the project

  • Work closely with our business partners to understand how we can leverage the power of the organisations data to meet their needs and improve our business insight.
  • To bridge the gap between non-technical business sponsors/users and the technology delivery capability, ensuring the successful and timely delivery of data and analytic solutions.
  • Contribute to the design of data models and architecture for use by Business Intelligence and reporting tools
  • Develop and maintain transformation scripts to prepare data for the Business Intelligence and reporting tools
  • Define and implement rules-based derived fields
  • Thoroughly document the data transformation processes used
  • Participate in cross-functional projects

Required Skills and Experience

  • Excellent communication skills, both written and verbal; demonstrating the ability to liaise directly with both business and technical colleagues
  • Experience and in-depth understanding of relational database modelling and structures with specific focus on simplifying the data landscape for ease of consumption by our business colleagues
  • Extensive experience working with very large data sets (preparing data and tables for presentation of analyses), independently and as part of a team.
  • Experience in handling data quality and integrity issues and how to explain such limitations to our business in a clear, concise and non-technical manner
  • Expert in SQL and database tools (e.g., MS SQL, Netezza, Oracle).
  • Experience with software development lifecycle including testing
  • Experience with business intelligence data modelling techniques and tools
  • Degree qualification in relevant discipline
  • Strong academic background

Beneficial Skills and Experience

  • Experience with visualisation tools and technologies, experience with Qlik technologies is particularly advantageous.
  • Experience in data warehousing, dimensional modelling, or NoSQL databases

Personality

  • Inquisitive and constantly learning
  • Prepared to take ownership and accountability for deliverables
  • Passionate about delivering results
  • You do what you do because you love it, you're proud of your work and happy to share it with your team
  • Honest and open in your interactions, non-political when disagreeing and ego-less when searching for the best result

If you are relevant or interested don't delay, contact me on 0161 924 1416 or email me at

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