Sr Data Analyst

Job title: Sr Data Analyst

Experience : 4+yr

Locations : Mumbai (Kandiwali)

Budget: 12-15lpa

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.