Basic Information
Job Description
- Assist and support the co-ordination and delivery of the work of the MIS Team.
- Develop, implement and maintain appropriate systems and procedures for the collection, maintenance, integrity and currency data.
- Support the MIS and Cedar (web-based database) Co-ordinator with new data systems and reports within the MIS Team, in collaboration with the MIS Manager and Senior Management.
- Support the MIS Manager with the system administration of Unit–e (student records database) to include documentation of system enhancements and the application of upgrades.
- Support the MIS Manager with the co-ordination and production of external returns/reports/data such as the ILR, Ofsted, etc, working with other managers, as appropriate.
- Support the MIS Manager in the management of resources, including the production of the college timetables where appropriate.
- Support the MIS Manager by ensuring that college and trust data, such as student records and enrolments, is accurate, for example by completing course and enrolment changes when appropriate.
- Support the MIS Manager by liaising with other trust/college teams, departments, working parties and individuals to ascertain their requirements regarding data storage, access, reporting facilities and training needs.
Job Requirements
- Bachelor’s degree or advanced degree in Computer Science/IT, Data Analytics, Data Science, Statistics, Mathematics or other related fields;
- At least 3-4 years of experience in an IT, BI, data science or analyst role in an organization;
- Knowledge of statistics, specifically experimental design, and study;
- Familiarity with database technologies and web hosting tools;
- Familiarity with common web and social tools (e.g. Google Analytics, social platform analytics);
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks);
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc);
- Strong experience using Power BI;
- Experience with data analysis tools, workflows, and building dashboards using tools like Tableau;
- Proficiency in using Python and/or R to perform data analysis;
- Strong NumPy/PANDAS skills;
- Excellent communication and interpersonal skills;
- Demonstrated ability to multi-task, prioritize, self-start, contribute under pressure and meet tight deadlines;
Special Information
- For further information, directly contact at 9820753898 (Chandani).