Job Description: Business Intelligence Analyst (Intermediate)
Position: Business Intelligence Analyst
Location: Hybrid (Onsite & Offsite)
Contract Duration: 2 Years
Contract Start Date: Estimated 6th January 2025
Availability: Immediate (1 week from contract signing)
Attendance Pattern:
- Onsite: Monday, Thursday
- Offsite: Tuesday, Wednesday, Friday
OverviewWe are seeking an Intermediate Business Intelligence (BI) Analyst to join our data team. The successful candidate will help transform complex data into actionable insights, build dashboards, and provide key business analysis to drive decision-making.
Key Responsibilities- Data Integration: Combine and link various data sets to extract meaningful insights.
- Data Cleaning: Prepare data for analysis, ensuring accuracy and consistency.
- Analysis & Reporting: Perform descriptive data analysis and develop reports.
- Dashboard Development: Create interactive Power BI dashboards to visualize key metrics.
- Stakeholder Communication: Present insights to non-technical business stakeholders.
- Training: Assist in educating the team and business users on data tools and processes.
Required Skills & Experience- Business Intelligence: Experience identifying reporting needs and developing BI solutions.
- Data Analysis: Proficient in analyzing and interpreting data to provide actionable insights.
- Power BI: Strong experience building and maintaining Power BI dashboards.
- SQL & DAX: Proficient in SQL for data extraction and DAX scripting for Power BI.
- Communication: Ability to present complex data findings to non-technical audiences.
- Problem Solving: Strong analytical skills and ability to address business challenges through data.
Qualifications- Education: Honours Degree or Postgraduate Diploma (NFQ Level 8 or equivalent) in a numerate discipline (e.g., Computer Science, Data Analytics, Engineering, Economics, etc.).
- Language: Fluent in English (written and spoken).
- Driving License/Transport: Not required for this role.
Desirable- Experience with additional BI tools or advanced Excel skills.
- Familiarity with public sector or transportation-related data is a plus.
