Senior Data Analyst - SQL/Python

Job Title : Sr Data Analyst Experience : 4yr Locations : Mumbai (Kandiwali) Primary skills : Data Analyst, Python, SQL, Azure Data Services, Python libraries, data visualisation tools, data governance, data quality practices, cloud environments, Microsoft Azure, leading data projects. Notice period : 15-30days Key Responsibilities : - Lead the analysis and interpretation of complex datasets to uncover patterns, trends, and insights using Python. - Design and implement advanced data analytics solutions on Azure platforms, including Azure SQL, Azure Data Lake, and Synapse Analytics. - Develop, maintain, and enhance interactive dashboards and reports to provide key business insights and support strategic decision-making. - Collaborate with data engineers to ensure the accuracy, cleanliness, and organization of data for effective analysis. - Conduct data profiling and validation to maintain data quality and reliability across the organization. - Write advanced SQL queries to extract and analyze data from Azure SQL databases. - Leverage Python libraries (Pandas, NumPy, etc.) for data cleaning, manipulation, and visualization of large datasets. - Partner with business stakeholders to gather data requirements and deliver insights that influence key business decisions. - Create and support ad hoc analyses and reporting as required by various teams within the organization. - Present data findings and insights to non-technical stakeholders in an easily understandable manner, driving business actions. - Implement and uphold data governance practices, ensuring compliance with data security protocols and company policies. Required Skills & Qualifications : - 5 years of experience as a Data Analyst, with a strong focus on data analysis using Python. - Expert-level proficiency in SQL, with substantial experience in working with Azure SQL databases. - Hands-on experience with Azure Data Services, including Azure Data Lake, Synapse Analytics, and Azure Data Factory. - Advanced expertise in Python libraries for data manipulation, analysis, and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn). - Proficiency in data visualization tools such as Power BI, Tableau, or similar platforms for creating impactful reports and dashboards. - Demonstrated ability to interpret and analyze complex datasets, identify trends, and generate actionable business insights. - Strong knowledge of data governance and data quality practices. - Exceptional problem-solving skills and a keen eye for detail in analyzing and interpreting data. - Proven ability to effectively communicate complex data insights to both technical and non-technical stakeholders. - Familiarity with cloud environments, particularly Microsoft Azure. (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 11/23/2024