We are seeking a skilled and detail-oriented Data Analyst to join our dynamic team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to help our organization make data-driven decisions. You will work closely with various departments to identify trends, provide insights, and support strategic initiatives.
Responsibilities: Data Collection and Processing: Collect and organize data from various sources, ensuring its accuracy and completeness. Clean and preprocess data to prepare it for analysis. Data Analysis: Analyze large datasets to identify trends, patterns, and correlations. Develop and maintain data models, reports, and dashboards using tools like SQL, Excel, and BI platforms (e.g., Tableau, Power BI). Reporting and Visualization: Present data findings in a clear and concise manner through visualizations and reports. Create and distribute regular and ad-hoc reports to stakeholders. Collaboration: Work closely with cross-functional teams to understand their data needs and provide analytical support. Collaborate with IT and data engineering teams to ensure data integrity and consistency. Insights and Recommendations: Provide actionable insights and recommendations based on data analysis to support business decisions. Identify opportunities for process improvements and optimizations using data. Documentation and Communication: Document data analysis processes and methodologies. Communicate complex data findings to non-technical stakeholders in an understandable manner. Education: Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Experience: Proven experience as a Data Analyst or in a similar analytical role. Experience with data analysis and visualization tools (e.g., SQL, Excel, Tableau, Power BI). Technical Skills: Strong proficiency in SQL for querying and manipulating data. Advanced Excel skills, including pivot tables, vlookups, and data visualization. Familiarity with statistical analysis and data modeling techniques. Experience with programming languages such as Python or R is a plus. Analytical Skills: Excellent problem-solving skills and attention to detail. Ability to analyze large datasets and draw meaningful insights. Communication Skills: Strong verbal and written communication skills. Ability to explain complex data concepts to non-technical stakeholders. Soft Skills: Strong organizational and time management skills. Ability to work independently and as part of a team. Adaptability and willingness to learn new tools and techniques. Preferred Qualifications: Master's degree in a relevant field. Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of machine learning algorithms and techniques. Experience in a specific industry (e.g., finance, healthcare, retail).