Data Analyst (225-721)

The role of a Data Analyst is pivotal in the decision-making processes within a company, as they are responsible for collecting, processing, and performing statistical analyses on large datasets. They are tasked with turning raw data into meaningful insights through various analytical techniques and tools, thus enabling businesses to make data-driven decisions. A proficient Data Analyst must possess strong statistical acumen, be adept in data visualization, and have excellent problem-solving skills to interpret complex datasets. They work collaboratively with different teams, such as marketing, finance, and R&D, providing them with insights to improve operational efficiencies, identify market trends, and help in achieving strategic objectives.

Responsibilities

• Gather and process large volumes of structured and unstructured data efficiently.
• Use statistical tools to interpret data sets and identify patterns or trends.
• Develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency.
• Collaborate with internal teams to understand data needs and deliver actionable insights.
• Create comprehensive reports and presentations to communicate findings to stakeholders.
• Identify anomalies and data quality issues, ensuring data integrity and accuracy.
• Support data architecture, data cleansing, and data migration initiatives.
• Employ data visualization techniques to present findings in a visually compelling manner.
• Maintain knowledge of industry standards and emerging data technologies.
• Assist in the design and execution of experiments to collect customer and product data.
• Work with management to prioritize business and information needs.
• Contribute to continuous improvement processes to increase efficiency of business operations.

Requirements

• Bachelor’s degree in Computer Science, Mathematics, Statistics, or related field.
• Proven work experience as a Data Analyst or in a similar role.
• Proficiency in data analysis tools such as SQL, R, Python, or similar.
• Strong knowledge of Excel and experience with data visualization tools like Tableau.
• Excellent analytical and problem-solving skills with high attention to detail.
• Strong communication and presentation skills to convey complex information.
• Ability to work independently and collaboratively in a fast-paced environment.