Data and Reporting Analyst

Talent Shore

Data Analyst

We are seeking a highly motivated and experienced individual to join our team as a Data Analyst. The successful candidate will play a crucial role in sourcing data to answer questions, analysing data trends, generating insights, and supporting decision-making processes to drive business growth and efficiency. Responsibilities: Collect, clean, and analyse large datasets to identify trends and patterns. Develop and maintain dashboards and reports to visualize key metrics. Collaborate with cross-functional teams to understand data needs and deliver actionable insights. Conduct ad-hoc analysis to support business initiatives and projects. Present findings and recommendations to stakeholders in a clear and concise manner. Key Measurable: Accuracy and timeliness of data analysis and reporting. Number of actionable insights generated per quarter. Improvement in business processes based on data-driven recommendations. User satisfaction with dashboards and reports. Contribution to achieving business goals and KPIs. Requirements Minimum Professional Experience: 3+ years of experience in data analysis or a related field. Proficiency in data analysis tools such as SQL, Python, or R. Advanced experience in Excel Experience with data visualization tools like Tableau or Power BI. Strong analytical and problem-solving skills. Excellent communication and presentation skills. Reporting and Visualization Tool Experience: Proficiency in SQL for data querying and manipulation. Experience with Python or R for data analysis and modeling. Advanced knowledge of Tableau for creating interactive dashboards. Familiarity with Power BI for business intelligence reporting. Understanding of Excel for data organization and basic analysis. Beneficial Certifications or Qualifications: Certified Data Analyst (CDA) or equivalent certification. Tableau Desktop Specialist or Tableau Certified Data Analyst. Microsoft Certified: Data Analyst Associate. Google Data Analytics Professional Certificate. Advanced degree in Data Science, Statistics, or a related field.

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Vacancy posted 2 days ago

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