Data Analyst

We are seeking a highly skilled and motivated Data Analyst to join our team. The successful candidate will be responsible for analyzing large datasets, developing insightful reports and dashboards, and supporting data-driven decision making across the organization. This role requires strong analytical and problem-solving skills, proficiency in data analysis tools and techniques, and a passion for data-driven insights.

• Data Analysis and Manipulation:

• Extract, transform, and load data from various sources (databases, APIs, flat using SQL and Python (Pandas, NumPy).

• Perform data cleaning, transformation, and enrichment.

• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.

• Develop and maintain data pipelines and ETL processes.

• Data Visualization and Reporting:

• Create interactive dashboards and reports using Tableau and Power BI.

• Develop and present data visualizations (charts, graphs, maps) to communicate data insights effectively.

• Prepare and deliver data-driven presentations to stakeholders.

• Data Modeling and Analysis:

• Develop and implement statistical models and machine learning algorithms for predictive modeling and data analysis.

• Perform data mining and analysis to identify key drivers of business performance.

• Conduct A/B testing and other forms of data-driven experimentation.

• Data Quality and Governance:

• Ensure data quality and accuracy throughout the data lifecycle.

• Develop and implement data governance policies and procedures.

• Maintain data dictionaries and documentation.

• Collaboration and Communication:

• Collaborate with business stakeholders to understand their data needs and translate them into actionable insights.

• Communicate complex data concepts effectively to both technical and non-technical audiences.

• Work effectively in a team environment and contribute to a positive and collaborative culture.

• Education: Bachelor s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.

• Experience:

• Minimum 2 years of experience in data analysis or a related field.

• Strong proficiency in SQL and Python (Pandas, NumPy).

• Experience with data visualization tools (Tableau, Power BI) preferred.

• Experience with data warehousing and ETL processes a plus.

• Technical Skills:

• Strong analytical and problem-solving skills.

• Proficiency in SQL and Python (Pandas, NumPy).

• Experience with data visualization tools (Tableau, Power BI).

• Knowledge of statistical methods and machine learning algorithms.

• Experience with data cleaning, transformation, and enrichment.

• Other Skills:

• Excellent communication and presentation skills.

• Strong attention to detail and accuracy.

• Ability to work independently and as part of a team.

• Strong analytical and problem-solving skills.

• A passion for data and a desire to learn new technologies.