Data Analyst (CONTRACT)


Premium Job From Energon Global

Recruiter

Energon Global

Listed on

4th March 2019

Location

London

Salary/Rate

£300 - £400

Type

Contract

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Data Analyst - Data Engineering Squad - (Contract)

Data & Analytics

Primary Location: Sutton, London

Skills

* Extensive SQL experience dealing with multiple systems and sources

* Excellent problem-solving skills

* Data migration experience, involving multiple systems

* Strategic approach to data management

* Understanding of the principles and practice of data governance/GDPR

* Strong data analysis skills

* Experience of working within an agile environment

* Strong and flexible communication skills

* Good commercial understanding and the ability to apply it within a technical data environment

* An understanding of the end-to-end data journey within the business

* Demonstrate commitment to providing customer-focused quality service

* Define and ensure technical and industrial best practice incorporated

Tools:

* SQL 2008/2012 (Required)

* SSIS /Altryx (Required)

* Salesforce/CRM (Required)

* Salesforce Dataloader, and related 3rd party Dataloader (Required)

* MS Excel (Required)

* AWS/Azure (Desirable)

* Reporting/Analytics tools (Tableau/Power BI/Crystal Reports/ etc...)

* Big Data: Hadoop/HPCC (Desirable)

* Oracle (Desirable)

The Department

The Data Engineering Squad is a crucial part of this business, supporting the data and technology requirements of the wider business.

Their remit covers the support and maintenance of multiple databases and platforms, reporting and analysis, migration, data governance and data integrity.

Key Accountabilities/Responsibilities:

* Lead various data driven activities to support and drive business decisions.

* Specialize in collecting, organizing, and analysing data, data model and data transformation from salesforce and legacy systems

* Work on data enhancements within core technologies, processes and protocols (Big Data, A&E, CRM, Billing, Financial).

* Analyse and recommend automation within database platforms, to support analysis, insight and operational efficiencies.

* Analyse and recommend optimised data structures within database platforms, to support analysis, insight and operational efficiencies.

* Analyse and recommend data migration approaches for systems migration projects

You are currently using an outdated browser.

Please consider using a modern browser such as one listed below: