Business Analyst / Data Analyst

As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data from diverse sources using Python and Excel to derive meaningful insights. You will create dynamic dashboards and visualizations to effectively present findings to stakeholders. Conducting statistical analyses to identify trends and patterns that inform strategic decisions will be a key part of your role. Additionally, you will design and implement data models to support ongoing analytics processes. Collaboration with cross-functional teams to understand data needs and provide actionable recommendations will be essential. You will also prepare comprehensive reports and presentations to showcase analytical findings to both technical and non-technical audiences. Key Responsibilities: - Collect, clean, and analyze data using Python and Excel. - Create dynamic dashboards and visualizations for effective presentation of findings. - Conduct statistical analyses to identify trends and patterns. - Design and implement data models to support analytics processes. - Collaborate with cross-functional teams to understand data needs. - Prepare comprehensive reports and presentations for technical and non-technical audiences. Qualifications Required: - Proficiency in Python for data analysis, including experience with libraries like Pandas and NumPy. - Advanced skills in Excel for data manipulation, analysis, and visualization. - Strong understanding of statistical methods and their application in data analysis. - Experience with SQL for querying and managing databases. - Ability to effectively communicate findings and support data-driven decision-making. In addition to the above qualifications, any experience with data visualization tools such as Tableau or Power BI, knowledge of machine learning concepts for predictive analytics, and familiarity with data warehousing concepts would be preferred. As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data from diverse sources using Python and Excel to derive meaningful insights. You will create dynamic dashboards and visualizations to effectively present findings to stakeholders. Conducting statistical analyses to identify trends and patterns that inform strategic decisions will be a key part of your role. Additionally, you will design and implement data models to support ongoing analytics processes. Collaboration with cross-functional teams to understand data needs and provide actionable recommendations will be essential. You will also prepare comprehensive reports and presentations to showcase analytical findings to both technical and non-technical audiences. Key Responsibilities: - Collect, clean, and analyze data using Python and Excel. - Create dynamic dashboards and visualizations for effective presentation of findings. - Conduct statistical analyses to identify trends and patterns. - Design and implement data models to support analytics processes. - Collaborate with cross-functional teams to understand data needs. - Prepare comprehensive reports and presentations for technical and non-technical audiences. Qualifications Required: - Proficiency in Python for data analysis, including experience with libraries like Pandas and NumPy. - Advanced skills in Excel for data manipulation, analysis, and visualization. - Strong understanding of statistical methods and their application in data analysis. - Experience with SQL for querying and managing databases. - Ability to effectively communicate findings and support data-driven decision-making. In addition to the above qualifications, any experience with data visualization tools such as Tableau or Power BI, knowledge of machine learning concepts for predictive analytics, and familiarity with data warehousing concepts would be preferred.