Data Analyst

4 weeks ago


Manchester, United Kingdom Reed Full time

**A Data Analyst is required for our client based in Manchester for an initial 3 month contract. Ideally hybrid, 1-2 days on site, however they can consider remote.**

**Scope of work**

Our client requires the services of a Data Analyst to undertake an information gathering exercise across the Department to identify all types of Records held, and all types of Personal Data held by the department, and how and where data is being stored.

The information gathering should be undertaken by meeting in person/remotely with team managers to establish and document what physical or digital data is held by them and their teams, how and when it is stored, and what measures are in place to ensure itis being deleted in accordance with retention policy.

Records

Once all types of Records that exist have been identified and categorised, a review of the client’s Records Retention Schedule needs to be undertaken to identify any gaps i.e., new categories and associated retention periods that need to be added to theRecords Retention Schedule.

Personal Data

Once all types of Personal Data held by the department have been identified and categorised, a review of the Privacy Notice needs to be undertaken to identify any gaps i.e., new reasons they collect data that need to be added to the Privacy Notice.

Output

At the completion of this process, the Data Analyst should provide the client with a report that sets out the following:

- The areas reviewed during the information gathering exercise
- All categories of Records found, highlighting those that need adding to the Records Retention Schedule
- All categories of Personal Data found, highlighting those that need adding to the Privacy Notice
- Any examples of categories of Records or Personal Data that are not adhering to the current Retention Schedule
- Any examples of current storage locations being inconsistent with Records Retention Schedules

Experience

Data Analyst experience
Basic SQL and Excel

Uses appropriate methods, tools and techniques for data analysis and visualisation

Summarise data and conclusions in the most appropriate format for users


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