Padmi

Data/SQL Analyst - Power BI

MumbaiPosted 2 months ago
Data Science And StatisticsMid-levelFull Time; Regular
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As a Data Analyst at our company, you will play a crucial role in analyzing large datasets to identify trends, patterns, and actionable insights. Your ability to develop dashboards, reports, and MIS using tools like Tableau, Power BI, SQL, and Excel will be key in providing analytical solutions to our business stakeholders. Your responsibilities will include conducting exploratory data analysis, KPI tracking, forecasting, and performance analysis to support data-driven recommendations for the business. Key Responsibilities: - Analyze large datasets to identify trends, patterns, and actionable insights - Develop dashboards, reports, and MIS using Tableau, Power BI, or similar visualization tools - Perform data extraction, transformation, and analysis using SQL and Excel - Work closely with business stakeholders to understand requirements and provide analytical solutions - Conduct exploratory data analysis, KPI tracking, forecasting, and performance analysis - Support business decision-making through data-driven recommendations - Ensure data accuracy, quality, and consistency across reports and dashboards - Collaborate with cross-functional teams including business, operations, product, and technology teams Qualifications Required: - Must have 3+ years of experience in Data Analytics / Data Analysis roles - Strong hands-on expertise in SQL, Advanced Excel, Tableau, and Power BI - Proven experience in data extraction, data cleaning, transformation, dashboarding, and reporting - Expertise in SQL, Data Analysis, Data Visualization, Reporting, Statistical Analysis, Data Validation, and Dashboard Creation - Strong understanding of databases, large datasets, KPI reporting, and analytical techniques Please note that only women candidates will be considered for this role as per the diversity requirement. Candidates from B2C product-based companies or those with prior experience at Mu Sigma will be given high priority. (Note: The additional details of the company were not present in the provided job description) As a Data Analyst at our company, you will play a crucial role in analyzing large datasets to identify trends, patterns, and actionable insights. Your ability to develop dashboards, reports, and MIS using tools like Tableau, Power BI, SQL, and Excel will be key in providing analytical solutions to our business stakeholders. Your responsibilities will include conducting exploratory data analysis, KPI tracking, forecasting, and performance analysis to support data-driven recommendations for the business. Key Responsibilities: - Analyze large datasets to identify trends, patterns, and actionable insights - Develop dashboards, reports, and MIS using Tableau, Power BI, or similar visualization tools - Perform data extraction, transformation, and analysis using SQL and Excel - Work closely with business stakeholders to understand requirements and provide analytical solutions - Conduct exploratory data analysis, KPI tracking, forecasting, and performance analysis - Support business decision-making through data-driven recommendations - Ensure data accuracy, quality, and consistency across reports and dashboards - Collaborate with cross-functional teams including business, operations, product, and technology teams Qualifications Required: - Must have 3+ years of experience in Data Analytics / Data Analysis roles - Strong hands-on expertise in SQL, Advanced Excel, Tableau, and Power BI - Proven experience in data extraction, data cleaning, transformation, dashboarding, and reporting - Expertise in SQL, Data Analysis, Data Visualization, Reporting, Statistical Analysis, Data Validation, and Dashboard Creation - Strong understanding of databases, large datasets, KPI reporting, and analytical techniques Please note that only women candidates will be considered for this role as per the diversity requirement. Candidates from B2C product-based companies or those with prior experience at Mu Sigma will be given high priority. (Note: The additional details of the company were not present in the provided job description)

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