Data  Analyst 15N25

As a Data Analyst, you will play a pivotal role in transforming raw data into insightful changes that drive business strategy forward. You will be tasked with identifying important trends, delivering business insights, and supporting intelligent decision-making processes. This position requires a keen eye for detail and expert analytical skills to turn data into actionable insights. As part of our team, you’ll work closely with various departments, leveraging data analytics techniques and tools to provide essential business recommendations and optimize operations. This role is ideal for someone who has a strong aptitude for numbers, a deep understanding of statistical methods, and a passion for maximizing business value through data-driven solutions.

Responsibilities

• Collect, clean, and analyze data from various internal and external sources.
• Identify patterns and trends in datasets to support strategy development.
• Develop detailed dashboards and reports for key business stakeholders.
• Work closely with IT and business units to gather data requirements.
• Support decision-making by translating complex data findings into actionable insights.
• Utilize data visualization tools to present findings clearly and effectively.
• Ensure data integrity and accuracy through comprehensive analysis techniques.
• Collaborate with cross-functional teams to deliver on project goals.
• Assist in the design and maintenance of databases and data systems.
• Provide regular and ad-hoc analysis to improve business processes.
• Stay updated with industry trends and best practices in data analytics.
• Document and communicate analytical insights to non-technical stakeholders.

Requirements

• Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Proven experience as a Data Analyst or in a similar analytical role.
• Advanced skills in SQL, Excel, and data visualization tools like Tableau or Power BI.
• Strong knowledge of statistical techniques and concepts for accurate data analysis.
• Experience with programming languages such as Python or R for data manipulation.
• Excellent problem-solving skills and attention to detail are essential.
• Ability to explain complex data insights to non-technical stakeholders effectively.