MI Analyst

Recruiter
Oakland Recruitment
Location
Stoke-on-Trent
Salary
£23000 - £28000/annum
Posted
15 Jun 2017
Closes
15 Jul 2017
Contract Type
Permanent
Hours
Full Time
MI Analyst – Stoke on Trent - salary up to 28k

Duties will include:
 Maintain and monitor regular reporting
 Interrogate data in order to derive performance metrics
 Provide regular feedback on operational performance and escalate accordingly if required
 Create/revise code scripts to ensure that they are fit for purpose
 Develop and facilitate training workshops that aim to enrich the knowledge of both internal and external clients of SSL products
 Define and agree business requirements, priorities, resourcing and timescales MI Manager and stakeholders
 Translate agreed business requirements into standard report specifications and documentation
 Develop, maintain and monitor new strategic, predictive and analytical reporting
 Liaise effectively with stakeholders in matters of strategic direction, data quality, change control and general queries
The successful applicant will have:
 Analysing and documenting business requirements
 Writing specification and process documentation
 Practical and in-depth experience of report design and development
 Change control procedures
 A background in MI, IT, mathematics or business
 Knowledge of Finance and Insurance sectors is welcome but not essential

The Successful candidate will ideally have:
 Technical knowledge of MI solutions
 Excellent SQL skills
 Expert user of Microsoft Office
 Knowledge of Microsoft BI stack (SAS, SSRS, etc.)
 Knowledge of SharePoint
 Experience of projects involving a mixture of staff across various functions with potentially conflicting interests and priorities
 The ability to interact directly and effectively with clients at both a strategic and operational level
 Excellent communication and inter-personal skills including presentation and facilitation of workshops
 The ability to work on their own initiative, to set short-term objectives and priorities and to organise their workload
 Although not essential, experience of Hadoop, Mongo.db, coding with “R” or related predictive analytics would be advantageous