Senior Statistical Analyst & Data Manager

Senior Statistical Analyst & Data Manager
Dublin Permanent €90,000 Ref:

Job Description

Our client is looking for a Senior Data Analyst who comes from a strong Data Statistical background and reporting background.

The client is a Semi State public organisation that offers a Defined benefits pension and excellent annual leave and flexible time options. The operate a flexible hybrid work model. Salary guide €85k-90k basic salary per annum.

Job Responsibilities:

  • Responsible for creating a successful data and analytics strategy
  • Strive to continuously improve and develop analytics to support the user
  • Lead the reporting and data information team
  • Provide the necessary internal and external reporting
  • Conduct large scale analysis on data sets as well as designing reporting services for stakeholders
  • Aid in the facilitation of cross functional meetings, to ensure there is a continuous identification of improvements as well as testing and implementation of new practices where required to meet the needs of the company and stakeholders
  • Closely monitoring systems for data collection as well as the development of protocols

Experience/skills Required:

  • Minimum of 7 years’ experience in a similar data related/ banking role
  • Good statistics knowledge, working with packages such as Tableau and SPSS
  • Proven experience in delivering reporting and analytics projects involving a range of stakeholders
  • Strong experience in the use of business intelligence tools (SQL, Power BI, Tableau) to develop business user reports
  • Statistical software experience would be advantageous (JMP, SPSS, Minitab)
  • Ability to keep to strict deadlines and collaborate in a team environment
  • Proven experience in successfully delivering projects that meet the needs of the user within the agreed timeframe and at the correct cost
  • Excellent problem-solving skills as well as good troubleshooting experience
  • Attention to detail is necessary for reporting clear and concise data analysis
  • Strong leadership experience with good organisational skills
  • Excellent verbal and written communication

Education Requirements:

  • Masters or Bachelors degree or relevant qualification in Computing, finance, science or equivalent

Working Hours and Benefits

  • Hybrid working options
  • Flexitime
  • Pension Scheme
  • Reimbursement of professional membership fees
  • Learning and development opportunities
  • Wellbeing programme
  • Diverse range of initiatives

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