MI Analyst

Recruiter
Newcastle
Location
Stoke-on-Trent
Salary
23/28k
Posted
13 Jun 2017
Expires
25 Jun 2017
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 -