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Data Engineer

4.00 to 9.00 Years   Pune,Bangalore, Chennai, Noida, Hyderabad, Gurugram, Mumbai City, Delhi   04 Jan, 2025
MACKENZIE MODERN IT SOLUTIONS PRIVATE LIMITED
Job LocationPune,Bangalore, Chennai, Noida, Hyderabad, Gurugram, Mumbai City, Delhi
EducationNot Mentioned
SalaryRs 6 - 14 Lakh/Yr
IndustrySoftware Product
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    Key Responsibilities:
    • Data Interpretation & Analysis: Utilize statistical techniques to analyze large, complex datasets. Provide insights that help drive key business decisions and support the organizations goals.
    • Database and Data Collection Systems: Develop, implement, and optimize databases and data collection systems to improve statistical efficiency and enhance data quality. Ensure data consistency and integrity across all systems.
    • Data Acquisition: Gather data from primary and secondary sources, ensuring it is accurate, comprehensive, and up-to-date. Regularly validate data for accuracy and completeness.
    • Trend and Pattern Identification: Identify trends, patterns, and correlations in data to uncover key business opportunities, operational inefficiencies, and areas for process improvement.
    • Data Cleaning & Quality Control: Perform data cleaning by reviewing reports, printouts, and performance indicators. Correct any inconsistencies or errors in the datasets to ensure high data quality and reliability.
    • Business Needs Analysis: Collaborate with business leaders and management to prioritize data analysis tasks. Understand organizational needs and align data solutions accordingly to maximize business value.
    • Process Improvement: Use data-driven insights to recommend and implement process improvements that enhance operational efficiency, reduce costs, and drive business outcomes.
    • Reporting & Dashboards: Create and present regular reports and dashboards to stakeholders, summarizing analysis, presenting insights, and providing data-driven recommendations.
    • Tools and Technologies: Use a range of tools such as SQL, Python, R, and business intelligence tools (e.g., Tableau, Power BI) to manipulate, model, and visualize data. Utilize statistical methods to enhance the depth of analysis

Keyskills :
sqlcareer developmentmachine learningdata scienceanalyticsrisk managementfinancefinancial services

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