Data Analyst

We are seeking a highly skilled and detail-oriented Data Analyst to join our analytics team. As a Data Analyst, you will be responsible for gathering, analyzing, and interpreting large datasets to extract actionable insights and support data-driven decision-making. You will collaborate with cross-functional teams to identify business requirements, develop data models, and create visualizations and reports. Your role will involve conducting statistical analysis, performing data cleansing and validation, and presenting findings to stakeholders. Additionally, you will contribute to ongoing data governance initiatives, ensuring data accuracy, integrity, and security.

Responsibilities:

• Collaborate with business stakeholders to understand their data requirements and objectives.
• Extract, transform, and load data from various sources into analysis-ready formats.
• Conduct exploratory data analysis to identify patterns, trends, and outliers.
• Apply statistical methods to analyze datasets and perform hypothesis testing.
• Develop and maintain data models, dashboards, and reports using visualization tools.
• Identify data quality issues, implement data cleansing techniques, and ensure data accuracy and consistency.
• Collaborate with IT teams to optimize data storage, retrieval, and integration processes.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics.
• Present findings and insights to stakeholders through clear and concise reports and presentations.
• Contribute to data governance initiatives, including data documentation and security protocols.

Requirements:

• Bachelor’s or master’s degree in a relevant field such as data science, statistics, or computer science.
• Proven experience in data analysis, data mining, and statistical modeling.
• Proficiency in SQL and data querying languages.
• Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
• Experience with programming languages such as Python or R for data manipulation and analysis.
• Familiarity with machine learning concepts and techniques is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and the ability to work with complex datasets.
• Effective communication skills to convey complex findings to non-technical stakeholders.
• Ability to work independently and collaboratively in a team environment.