Data  Analyst 12N25

We are seeking a skilled Data Analyst to join our team and contribute to advancing our data-driven strategies. The ideal candidate is passionate about leveraging data to drive actionable insights, problem-solving, and decision-making. This individual will be responsible for interpreting and analyzing complex data sets to help our organization achieve its business goals. The Data Analyst will collaborate with multiple departments, using technical expertise to transform raw data into meaningful recommendations. You will also develop processes to enhance data quality and promote the organization’s ability to utilize data effectively. If you are analytical, detail-oriented, and eager to make an impact through data, we encourage you to apply.

Responsibilities

• Gather and organize large sets of complex data from various sources.
• Analyze data sets to identify trends, patterns, and insights for business strategies.
• Collaborate with cross-functional teams to understand data needs and objectives.
• Develop and maintain databases, data systems, and data preprocessing pipelines.
• Create visualizations and dashboards to communicate findings to stakeholders.
• Prepare detailed reports and presentations on data analyses and outcomes.
• Improve data collection methods to optimize efficiency and data quality.
• Utilize statistical techniques to validate and interpret data results.
• Design experiments to test hypotheses and validate business models.
• Monitor performance metrics and advise on ways to improve processes.
• Support data management and governance by adhering to industry standards.
• Ensure privacy and data protection standards are maintained in all operations.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role.
• Strong proficiency in SQL, Excel, and data visualization tools like Tableau.
• Excellent analytical and problem-solving skills with attention to detail.
• Ability to translate complex data into simple insights for varied audiences.
• Experience in working with large data sets and data analytics software.
• Understanding of data privacy and protection regulations and practices.
• Strong communication skills with the ability to present insights clearly.