Data Analyst 18N25

The Data Analyst role is pivotal in transforming data into actionable insights. As a key member of our analytics team, the Data Analyst will be responsible for collecting, analyzing, and interpreting large datasets to help inform business decisions. Candidates must have a passion for data, a knack for seeing solutions in sprawling datasets, and the business mindset to convert insights into strategic opportunities for our company. This role requires collaboration with cross-functional teams to identify trends and address business challenges. Our ideal candidate is detail-oriented, equipped with advanced data analysis skills, and eager to drive data-backed decision-making across all aspects of the organization.

Responsibilities

• Collect and clean data sets from various sources to ensure data integrity.
• Analyze complex data sets using statistical techniques and provide reports.
• Develop and implement databases and data collection systems for optimization.
• Identify, analyze, and interpret trends and patterns in large data sets.
• Work with management to prioritize business and information needs efficiently.
• Define new data collection and analysis processes to enhance operations.
• Collaborate with engineering and product development teams for data-driven decisions.
• Utilize tools and techniques to visualize data and present findings to stakeholders.
• Support the data needs of cross-functional teams and provide actionable insights.
• Create dashboards, reports, and presentations to communicate data findings effectively.
• Regularly review and improve data collection and analysis processes for accuracy.
• Ensure compliance with data governance standards and best practices at all times.

Requirements

• Bachelor's degree in Mathematics, Computer Science, Statistics, or a related field.
• Proven experience as a Data Analyst or in a similar analytical role required.
• Proficiency in data analysis tools such as SQL, Python, or R is essential.
• Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
• Excellent understanding of machine learning models and statistical packages beneficial.
• Solid problem-solving skills with the ability to manage multiple tasks efficiently.
• Strong communication skills to translate complex data insights for non-technical stakeholders.
• Attention to detail and a strong commitment to maintaining data integrity crucial.