Data Analyst

Markerstudy Retail

The role will involve the day-to-day analysis and production of insightful management information in line with developments in the insurance industry. The role will also be responsible for providing advice on and implementing day-to-day tactical and strategic reports designed to enable the company to achieve our strategic objectives.

The main responsibilities of the role will be:

  • Researching, developing, implementing, and integrating new reporting systems and applications which better position the company to achieve its strategic goals.
  • Developing and presenting intranet-based MI dashboards for relevant stakeholders throughout the business.
  • Utilizing data-warehouse capabilities to interrogate data and develop new data solutions.
  • Assisting in the development, testing and implementation of new ETL procedures
  • Assist in the development and presentation of insights to management using business information on a day-to-day, tactical, and strategic basis.
  • Assisting in the development of predictive models, maintenance & testing of existing models
  • Using predictive models & technical information to make recommendations to senior management for business improvement
  • Assessment of processes to provide insight into automation & improvement
  • Liaising and working with teams from around the business to create solutions to a common problem
  • Other duties as assigned

PERSON SPECIFICATION

Qualifications

  • Degree level or equivalent qualification in Maths, Statistics, Physics, Actuarial Science, or another subject with similar high mathematical content
  • OR 3 years relevant experience in similar industry role

Essential Experience

  • Experience of working with data analytics for example, data modelling, big data, data visualisation, stochastic analysis, data warehousing
  • Proficiency in MS Office products (Word, Excel, PowerPoint, Outlook)
  • Experience of using programming languages e.g., SQL, VB, R, SAS

Desired Experience

  • Experience of working with data analytical tools for example: Matlab, R , Python
  • Experience working with SSMS, SSRS, SSIS, SSAS
  • Experience of working collaboratively within a team to achieve a specific result.
  • Experience of communication of technical subjects to a non-technical audience
  • Knowledge of analytical methodologies e.g., regression modelling
  • Knowledge of business processes or insurance

Skills, Abilities, And Competencies

  • Strong numerical and analytical skills.
  • Ability to apply analytical problem solving, make recommendations, and implement improvements.
  • Makes effective use of technology to drive and improve processes.
  • High attention to detail and accuracy.
  • Strong interpersonal skills and ability to work within a team.
  • Communicates information clearly and concisely to both technical and non-technical team members.
  • The ability to promote ideas/solutions with confidence, credibility, and sound business rationale.
  • Ability to report on large datasets & make reasonable recommendations based on trends in data
  • Demonstrable planning and organisational skills.
  • Team worker, with responsibility & accountability for their own work
  • Focuses energy on priorities aligned to business goals.
  • Delivers on commitments to others.
  • Absolute passion for learning & continuous improvement
  • Ability to work in a fast-paced environment, multitasking etc.

How to apply

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