Job Description:

The Data Analyst is a key contributor to our analytical team, responsible for transforming raw data into meaningful information that drives strategic decision-making across various departments. This role requires a fundamental understanding of data analysis techniques, statistical methods, and data visualization tools. The Data Analyst will engage in regular data collection, cleaning, and validation processes to ensure the integrity of datasets. Collaborating closely with cross-functional teams, the analyst will present insights and recommendations based on data findings to support business initiatives, improve operational efficiency, and enhance customer satisfaction. The ideal candidate will be detail-oriented, possess excellent problem-solving skills, and demonstrate the ability to communicate complex data insights in an understandable manner to non-technical stakeholders.

Job Requirements:

• A Bachelor's degree in Data Science, or a related field.
• Minimum of 2 years of experience in a data analyst role or a similar capacity.
• Proficient in statistical analysis tools such as R, Python, or SAS.
• Familiarity with data visualization software such as Tableau, Power BI, or similar.
• Strong understanding of database management and query languages such as SQL.
• Demonstrated ability to perform data cleansing and validation techniques.
• Experience with data mining, analysis, and reporting.
• Ability to work collaboratively within a team and effectively communicate findings to diverse audiences.
• Proven problem-solving skills with a focus on data-driven decision-making.
• Strong attention to detail and aptitude for statistical reasoning.

Job Responsibilities:

• Collect, process, and analyze large volumes of data from multiple sources to identify trends, patterns, and insights.
• Develop and maintain dashboards and reports to visualize data findings and support ongoing analysis.
• Collaborate with stakeholders across departments to understand their data needs and tailor analysis accordingly.
• Conduct regular data quality assessments to ensure data integrity and ensure compliance with data governance policies.
• Provide actionable recommendations based on data analysis that align with organizational goals and objectives.
• Assist in the design and implementation of new data collection processes and data management practices.
• Present findings to both technical and non-technical audiences, translating complex data insights into understandable formats.
• Stay current with industry trends and emerging technologies related to data analysis and visualization.

Required Skills:

• Strong analytical and critical thinking skills, with the ability to derive insights from complex datasets.
• Excellent proficiency in Microsoft Excel for data analysis and reporting.
• Solid understanding of statistical techniques and methodologies.
• Effective verbal and written communication skills, with the ability to convey complex ideas clearly.
• Strong organizational skills and the ability to manage multiple projects simultaneously.
• Experience working with cloud-based data storage and analytics tools.
• Ability to adapt and learn new tools and technologies quickly to meet evolving data needs.
• High level of integrity and professionalism in handling sensitive data.