Data Analyst (225-928)

A Data Analyst plays a critical role in the modern business environment by transforming raw data into meaningful, actionable insights. The successful candidate will use various statistical methodologies and data visualization tools to analyze and interpret complex datasets to aid in strategic decision-making processes. You must be highly adept in working with large datasets, performing data quality checks, and collaborating with cross-functional teams to ensure the accuracy and consistency of data interpretation. The ideal candidate will not only have robust analytical skills but also possess excellent communication capabilities to translate data findings into business terminologies for stakeholders and executives. Additionally, as a Data Analyst, you will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities

• Collect, analyze, and interpret large sets of complex raw data.
• Develop predictive models and algorithms to enhance data-driven decisions.
• Design and implement data collection systems for optimization.
• Collaborate with IT and business teams to implement data strategies.
• Create detailed reports for management based on analyzed data insights.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and cleanse data to ensure data integrity and accuracy.
• Communicate findings effectively to both technical and non-technical audiences.
• Work continuously to improve data collection and analysis processes.
• Develop and manage dashboards and performance indicators.
• Stay current with the latest developments in data analytics tools and techniques.
• Provide training and support for data users within the organization.

Requirements

• Bachelor's degree in Computer Science, Data Science, or related field required.
• Proven experience as a Data Analyst or in a similar analytical role.
• Proficiency in SQL and in working with relational databases.
• Strong knowledge of data visualization tools like Tableau or Power BI.
• Expertise in statistical analysis software such as R or Python is essential.
• Excellent problem-solving skills with a keen attention to detail and accuracy.
• Strong communication skills to convey complex data concepts clearly.