Data  Analyst (225-1016)

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will play a critical role in analyzing data trends, building reports, and providing insights that support business decisions. You will collaborate with various departments to interpret data needs and will use your expertise to transform complex datasets into easy-to-understand narrative reports. You should have strong analytical skills, the ability to communicate technical information to non-technical stakeholders, and a passion for uncovering actionable insights from data. This position is ideal for someone who thrives in a fast-paced environment and has a keen eye for detail.

Responsibilities

• Analyze complex datasets to identify patterns and insights for business decisions.
• Develop and maintain data dashboards that provide access to real-time analytics.
• Create comprehensive reports that effectively communicate data findings to stakeholders.
• Collaborate with IT and Development teams to enhance data collection procedures.
• Identify opportunities for process improvements through data analysis and recommendations.
• Ensure data quality and integrity by performing regular audits and validations.
• Monitor and analyze key performance indicators for various business functions.
• Use statistical techniques to interpret and visualize data trends and patterns.
• Support strategic planning efforts with data-driven insights and analytics.
• Work with large volumes of data and ensure accurate data processing and storage.
• Assist in the development and implementation of new data analysis processes.
• Provide training and support to junior analysts and other team members.

Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience as a Data Analyst or similar role for at least two years.
• Strong proficiency in data visualization tools such as Tableau or Power BI.
• Excellent knowledge of statistical analysis and data modeling techniques.
• Advanced skills in SQL for database querying and data manipulation.
• Experience with data processing frameworks and programming languages like Python.
• Ability to translate complex data findings into actionable business strategies.