A Data Analyst is responsible for collecting, analyzing, and interpreting data to provide insights and support decision-making processes within an organization. They work with large datasets from various sources to identify trends, patterns, and correlations that can inform business strategies, optimize operations, and drive performance improvements.

Key Responsibilities:

1. Data Collection and Processing: Collect, clean, and preprocess data from multiple sources, including databases, spreadsheets, and APIs. Ensure data accuracy, completeness, and consistency for analysis purposes.

2. Data Analysis: Perform exploratory data analysis to uncover insights, trends, and patterns within datasets. Use statistical techniques, data visualization tools, and machine learning algorithms to analyze data and extract meaningful information.

3. Data Modeling and Forecasting: Develop predictive models and forecasting algorithms to anticipate future trends, behaviors, or outcomes. Use regression analysis, time series analysis, and other modeling techniques to forecast business metrics and KPIs.

4. Data Visualization and Reporting: Create interactive dashboards, reports, and visualizations to communicate insights and findings to stakeholders. Present data-driven recommendations and actionable insights to support decision-making processes.

5. Business Intelligence: Collaborate with cross-functional teams, including business analysts, product managers, and executives, to understand business requirements and identify opportunities for data-driven solutions. Translate business questions into analytical hypotheses and experiments.

6. Data Governance and Compliance: Ensure data quality, integrity, and security throughout the data lifecycle. Adhere to data governance policies, regulatory requirements, and industry best practices for data management and privacy.

Qualifications:

• Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree or relevant certifications (e.g., SQL, Python, R) are a plus.
• 4 years experience
• Proficiency in data analysis tools and programming languages, such as SQL, Python, R, or MATLAB.
• Strong analytical and problem-solving skills, with attention to detail and accuracy.
• Experience with data visualization tools, such as Tableau, Power BI, or matplotlib.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits:

• Competitive salary and benefits package.
• Opportunities for professional development and career advancement.
• Collaborative work environment with opportunities to work on diverse projects.
• Health and wellness benefits, including medical insurance and fitness programs.
• Work-life balance with flexible scheduling options.