Data Analyst

Introduction:

A highly skilled and results-driven Data Analyst with extensive experience in data extraction, cleaning, analysis, and visualization. Proficient in Python, SQL, and Excel, with a strong ability to develop interactive dashboards using Power BI. Adept at collecting, processing, and interpreting data from multiple sources to generate meaningful insights that drive business decisions. Experienced in market research, quality assurance, and performance monitoring, ensuring the delivery of accurate and actionable reports. Skilled in collaborating with cross-functional teams to understand business requirements and translate them into data-driven solutions. Strong analytical and problem-solving skills, with expertise in statistical analysis, DAX calculations, and data modeling. Experienced in developing and optimizing data pipelines, conducting exploratory data analysis (EDA), and implementing automation to improve efficiency. Demonstrates excellent attention to detail and the ability to communicate complex findings to both technical and non-technical stakeholders. Passionate about leveraging data to identify trends, optimize processes, and enhance decision-making. Holds relevant certifications in data analytics and visualization, with hands-on experience in industry-relevant simulations. Committed to continuous learning and staying up to date with the latest data technologies and methodologies.

Responsibilities:

• Conducted data extraction, cleaning, and transformation from multiple sources to ensure accuracy and reliability.
• Developed interactive dashboards and reports using Power BI to provide actionable business insights.
• Performed exploratory data analysis (EDA) to identify trends, patterns, and anomalies in datasets.
• Created complex DAX calculations for custom measures, KPIs, and time-intelligence solutions.
• Utilized SQL for querying and combining datasets to support in-depth analysis and decision-making.
• Collaborated with stakeholders to gather requirements and translate business needs into data-driven solutions.
• Conducted comprehensive user testing to align reports with business expectations and improve usability.
• Led quality assurance processes to ensure the accuracy and consistency of market research data.
• Provided recommendations for process improvements, ensuring the implementation of best practices in data management.
• Managed and mentored team members, overseeing daily operations and ensuring timely report delivery.
• Analyzed raw data to develop recommendations that optimized business strategies and operational efficiencies.
• Designed and implemented automated workflows to improve data processing and reduce manual efforts.
• Prepared and presented insights through reports, presentations, and data visualizations to senior management.
• Participated in industry-relevant simulations, demonstrating expertise in data analytics and visualization techniques.
• Assisted in the development and execution of operational plans to enhance data accuracy and reporting efficiency.
• Ensured compliance with data governance policies and maintained documentation of data processes.
• Worked on predictive analytics and statistical modeling to support business forecasting and decision-making.
• Contributed to the standardization of reporting methodologies and data visualization best practices.