Data and Reporting Analyst
Job Description
What is a Data and Reporting Analyst?
A Data and Reporting Analyst is responsible for analyzing and interpreting data to provide insights that help a company make informed decisions. They develop and maintain reports, dashboards and data visualizations to present findings to stakeholders, and they must have a strong understanding of data analysis and business intelligence tools.
Job Description Template
Job Brief
The Data and Reporting Analyst plays a vital role within our organisation by analysing and interpreting data to provide insights that support informed decision-making. This position involves developing and maintaining reports, dashboards, and data visualisations to effectively present findings to stakeholders. The Data and Reporting Analyst is essential for transforming complex data into actionable insights, enhancing the organisation’s strategic initiatives.
Responsibilities
- Analyse and interpret data to generate insights that drive business decisions
- Develop and maintain reports, dashboards, and data visualisations for stakeholder presentations
- Collaborate with cross-functional teams to understand data needs and reporting requirements
- Ensure data accuracy and integrity in all reporting processes
- Utilise business intelligence tools to streamline data analysis and reporting
- Stay updated on industry best practices and emerging trends in data analysis and visualisation
Requirements and Skills
- Bachelor’s degree in Data Analytics, Business Intelligence, Statistics, or a related field
- Proven experience in data analysis and reporting roles
- Strong proficiency in business intelligence tools (e.g., Tableau, Power BI, Excel)
- Experience with data manipulation and programming languages such as SQL or Python
- Excellent analytical and problem-solving skills
- Relevant certifications in data analytics or business intelligence would be an advantage
Personal Attributes
- Exceptional attention to detail and accuracy in data analysis
- Strong communication skills to convey complex findings clearly to diverse audiences
- A proactive mindset with the ability to identify trends and opportunities in data
- Ability to work collaboratively in a dynamic environment, managing multiple projects effectively
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