As an Experienced Data Analyst at NOTEDSN, you will play a pivotal role in utilizing data to inform decision-making, steer business strategies, and contribute to the overall success of our organization. Collaborating closely with cross-functional teams, you'll analyze data, create insightful reports, and offer meaningful recommendations that influence key business initiatives.
Responsibilities:
Data Analysis:
Conduct thorough analysis of extensive and complex datasets to uncover trends, patterns, and correlations.
Apply statistical techniques and predictive modeling to derive valuable insights.
Data Visualization:
Develop visually compelling and easily understandable dashboards and reports for various stakeholders.
Present data-driven insights in a clear and concise manner to facilitate decision-making.
Requirements Gathering:
Collaborate with business stakeholders to understand data requirements and objectives.
Translate business inquiries into analytical tasks and provide actionable recommendations.
Quality Assurance:
Ensure the accuracy and integrity of data through meticulous validation and cleansing processes.
Collaborate with IT teams to optimize data storage, retrieval, and processing.
Predictive Modeling:
Develop and implement predictive models to support business forecasting and planning.
Stay abreast of industry best practices and emerging trends in data analytics.
Qualifications:
Bachelor's or advanced degree in Data Science, Statistics, Mathematics, or a related field.
Proven experience as a Data Analyst with a minimum of 6 months in a comparable role.
Proficiency in data analysis tools such as Python, R, or SQL.
Strong statistical analysis skills and familiarity with machine learning techniques.
Expertise in data visualization tools (e.g., Tableau, Power BI).
Exceptional communication skills with the ability to convey complex findings to non-technical stakeholders.
Benefits:
Competitive salary with performance-based bonuses.
Comprehensive health, dental, and vision benefits.
Opportunities for professional development and continuous learning.
Collaborative and innovative work environment.
Flexible work arrangements.
If you are an experienced Data Analyst with a proven ability to transform data into actionable insights, we encourage you to apply for this role
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