Data Analyst
£300 - £370 p./day (inside IR35)
Contract duration: 9 Months (until end of year)
Hybrid Working
DUBAI HOURS 5 am - 1 PM
About the Company
Provide adhoc Data and Analytics Support
About the Role
Interrogate the data warehouse using SQL
Use Tableau for analysis
Stakeholder engagement, interface between end business users and technical teams
Performing customer segmentation and profiling
Taking large datasets and generate key insights using existing analytics resources, and packaging them for end users in easily digestible formats, and be able to evidence end-user adoption and beneficial outcomes of such insights.
Reporting and insights pipeline management: Managing a reporting/insights pipeline
Gathering requirements from the business and managing stakeholder expectations
Converting end user requests into meaningful and efficient requirements for technical roles e.g. (Data) Engineers / dev
Data Brief validation and QA: Checking dev outputs and co-ordinating UAT
Ongoing validation and QA: Perform ongoing QA of published data outputs to uncover issues related to quality, consistency, and business questions.
Responsibilities
Qualifications
The candidates must have exceptional English as they will be dealing with teams where English is not their first language.
SQL (Basic level knowledge)
Familiar with GCP, especially proficient using BigQuery
Experience with BI Tools such as Tableau, Power BI, QlikSense, Adobe Analytics etc.
Advanced Segmentation, data layer understanding, web data collection understanding, D2C experience or equivalent understanding
Experience of stakeholder engagement
Experience as interface between end business users and technical teams
Experience managing output pipeline
Be able to check dev outputs /co-ordinate UAT (specifically must have enough data knowledge to be able to run reconciliations vs master data sources and new outputs and be able to sniff out non-credible outcomes and own the escalation & resolution of such issues. Be an initial layer of QA screening before getting the business involved.
Required Skills
SQL (Basic level knowledge)
Familiar with GCP, especially proficient using BigQuery
Experience with BI Tools such as Tableau, Power BI, QlikSense, Adobe Analytics etc.
Advanced Segmentation, data layer understanding, web data collection understanding, D2C experience or equivalent understanding
Experience of stakeholder engagement
Experience as interface between end business users and technical teams
Experience managing output pipeline
Be able to check dev outputs /co-ordinate UAT (specifically must have enough data knowledge to be able to run reconciliations vs master data sources and new outputs and be able to sniff out non-credible outcomes and own the escalation & resolution of such issues. Be an initial layer of QA screening before getting the business involved.
Preferred Skills
Recommend projects that will enhance our insight capability, turn those recommendations into tangible technical requirements. It’s critical that they have the nous to run a sniff test on whether a data output is credible or not (rather than just objectively whether it is doing what it is expected to do on a requirement level.)
Pay range and compensation package
37.5 hour week. Some weekend and evening work may be required for emergencies and projects.
Equal Opportunity Statement
We are operating in a fast moving, challenging environment where processes and procedures are constantly changing. It is essential the incumbent keeps abreast of IT developments and evaluates the possible impact on business.