|Job Title:||Data Analyst|
|Salary:||£25000 - £35000 per annum|
|Start Date:||January 2019|
|Contact Name:||Jessica Roberts|
|Job Published:||January 21, 2019 09:30|
Data Analyst - Permanent role - £25 - £30k with benefits
Our client based in Edinburgh has an exciting opportuntiy for a skilled Data Analyst to join their team on a permanent basis. You will be responsible for analysis, reporting and management of data across the business, you will help deliver insights and analysis to enable the business to run the operation and make informed decisions. The role will lead in the creation of actionable insight from data through the application of first-class analytics.
- Excellent numerical and analytical skills.
- Knowledge of data analysis tools.
- Knowledge of data modelling, data cleansing, and data enrichment techniques.
- The ability to develop and document procedures and workflows.
- Ability to work with raw data and present it in a meaningful way to influence business decisions.
- Degree/Qualification in Computer Science, Information Systems, Business Management or specialized training/certification. Or equivalent work experience.
- Experience in Relational databases, one or more of the following: MS SQL, Oracle, MySQL/Maria.
- NO-SQL experience on at least one platform such as Mongo, Reddis, Cassandra.
- Strong SQL skills.
- Exposure to front-end reporting tools such as Crystal Reports, Pentaho, BIRT.
- Requirements Analysis/Modelling.
- An understanding of the GDPR regulations.
- Good T-SQL skills.
- Experience of database performance tuning.
- An understanding of big data science.
- Experience of source control, preferably Git.
- Familiar with the dashboard presentation of data.
- Two or more years of business/data analysis or related technical experience.
Parity Professionals - Source, Develop, Transform
Parity Professionals Ltd acts in the capacity of an Employment Agency when providing permanent recruitment services.
We welcome applications from all sections of society and applicants will be considered on the basis of their suitability for the position
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