Data Analyst

Experience:

Minimum 3+ years of experience in data analysis or a related field, with a strong background in statistical analysis, data mining, and data visualization.
Responsibilities:
•           Extract and analyze transactional data and bug reports from JIRA, utilizing SQL, Python, R, or similar data extraction and analysis tools.
•           Develop, test, and refine hypotheses based on extracted data, aimed at driving efficiency gains and quality improvements within the organization.
•           Perform comprehensive reviews of current data states to identify gaps and opportunities for enhancing data collection, storage, and analysis processes.
•           Design and implement additional data elements and structures to support advanced data collection and analytical methodologies, ensuring data integrity and availability.
•           Build robust and complex data taxonomy strategies around existing data stores, enabling flexible and insightful analysis and reporting to support decision-making processes across various departments.
•           Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
•           Create and maintain documentation for data analysis processes, data models, and analysis findings, facilitating knowledge sharing and process improvement.
•           Leverage industry trends and advancements in data analysis tools and methodologies, incorporating best practices into daily work to enhance outcomes.

Knowledge & Skills:
•           Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•           Proficient in data analysis tools and programming languages such as SQL, Python, R, or similar.
•           Experience with data visualization tools like Tableau, Power BI, or similar, to create impactful reports and dashboards.
•           Deep understanding of data warehousing, data cleaning, and data preprocessing techniques.
•           Knowledge of statistical modeling, predictive analysis, and data mining techniques.
•           Ability to work independently and collaboratively in a fast-paced environment, managing multiple projects and deadlines effectively.
•           Excellent problem-solving skills and the ability to think critically to overcome analytical challenges.
•           Strong communication skills, capable of conveying complex data insights to non-technical stakeholders in a clear and concise manner.

Education:
Bachelor's degree in Data Science, Statistics, Computer Science, or a related field.