Senior Data Analyst

Description:

We are on the lookout for a Data Analyst to join our client, a leading insurance broker. You will have the primary responsibility for data analysis, ad-hoc report delivery and analytics development as part of an exciting project to deliver on the ambitions of our client's Data Strategy. You will work with a variety of data sets to both respond and deliver on business requests for insights and analysis, as well as working with and interpreting the data sets to proactively design and deliver the analytical output that will drive business performance.

Responsibilities:
* Responsible for ad-hoc reporting requests
* Data management, data manipulation (ETL) and reconciliation
* Requirements gathering, data collection and preparation, report
development, Testing and UAT, training, documentation and
maintenance
* Analysing problems & implementing required fixes
* Stakeholder management - work closely with colleagues,
developers, testers and a variety of end users to ensure technical
compatibility and user satisfaction
* Delivery of monthly MI reports
* Develop an understanding of the business and its operations to
determine relevant insights for various business stakeholders.
* Delivery of business reporting requirements and projects within
agreed timelines
* Help turn data into information and information into insight. Work
with and interpret variety of data sets to develop the insight that
solves problems and identifies business opportunities.
* Identify and drive scalable solutions for building and automating
reports, pipelines, dashboards.
* Communicate data-driven results and recommendations clearly to
technical and non-technical audiences.
* Supplement and enrich automated reporting solutions with the
analytical insight that leads to action and improvements in
business performance.
* Help drive a culture change around the use and purpose of data to
ensure actions are driven by fact-based insight.
* Help define, implement and lead on robust data management and
reporting processes across the company
* Identify and help standardise the use and governance of data.
Design and implement methods to ensure consistent application
and use of analytics for the organisation.