Data Analyst 05N25

A Data Analyst plays a pivotal role in helping organizations make informed decisions by transforming raw data into meaningful insights. As a Data Analyst, one must adeptly handle vast datasets, using statistical tools and software to analyze data patterns, trends, and anomalies. The goal is to improve the efficiency and effectiveness of business operations by providing actionable insights. The ideal candidate will have a keen eye for detail, excellent analytical skills, and an ability to communicate complex data findings clearly to non-technical stakeholders. This role is perfect for someone who thrives on uncovering data narratives and supporting strategic business decisions with quantitative evidence.

Responsibilities

• Collect, clean, and interpret data sets to uncover meaningful insights and trends.
• Utilize statistical tools to analyze and interpret complex datasets for business use.
• Identify patterns and trends in datasets to extract actionable business insights.
• Work closely with stakeholders to understand their data needs and objectives.
• Create clear data visualizations and dashboards to communicate findings effectively.
• Develop strong data-driven strategies to drive business performance and growth.
• Monitor and audit data quality to ensure accuracy and reliability of findings.
• Collaborate with IT teams to improve data collection and analysis processes.
• Report to management on findings and proposed improvements based on data insights.
• Maintain confidentiality and adhere to data protection and privacy regulations.
• Apply new data analysis methodologies to improve efficiency and analytical outcomes.
• Stay updated with the latest trends and advancements in data analytics technology.

Requirements

• Bachelor’s degree in Statistics, Economics, Computer Science, or a related field.
• Proven experience in data analysis and statistical methods and tools.
• Proficiency in data analysis software such as SQL, SAS, R, or Python.
• Excellent communication skills to effectively share data insights with stakeholders.
• Strong problem-solving skills and attention to detail in data interpretation.
• Familiarity with data visualization tools like Tableau or Power BI is essential.
• Ability to work under pressure and manage multiple projects simultaneously.