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Data Analyst - Python / R

Data Analyst - Python / R

orbitouch outsourcing private limitedMumbai
30+ days ago
Job description

About the job :

Urgent Hiring For Data - Data Analyst

Working Days 6 days (2nd and 4th sat off)

Location - Mumbai

Job Summary :

Data Validation & Cleaning :

  • Identify, analyze, and correct data quality issues.
  • Ensure completeness, consistency, and reliability of datasets.
  • Perform routine audits and validations to maintain data accuracy.

Data Extraction & Manipulation :

  • Extract data from multiple internal and external sources (databases, APIs, spreadsheets).
  • Use advanced SQL queries and scripts to manipulate large datasets.
  • Perform data wrangling using Python, R, or Excel.
  • Data Analysis & Interpretation :

  • Analyze trends, patterns, and anomalies in data to support business decisions.
  • Interpret results using statistical tools and techniques.
  • Create summary statistics and actionable business insights.
  • Reporting & Visualization :

  • Build automated and ad-hoc reports using tools like Power BI, Tableau, Excel, or similar.
  • Design and maintain dashboards to monitor KPIs and business metrics.
  • Present data findings to stakeholders in a clear and meaningful format.
  • Collaboration with Teams :

  • Work closely with business units to understand data requirements and deliver customized solutions.
  • Liaise with IT, data engineers, and database administrators to maintain data pipelines and ensure quality delivery.
  • Participate in cross-functional projects requiring data analytics support.
  • Data Science Support (if applicable) :

  • Apply basic machine learning models to solve predictive problems (e.g., classification, regression).
  • Use statistical methods for hypothesis testing and forecasting.
  • Develop prototypes and models using Python / R as per project needs.
  • Documentation & Best Practices :

  • Document data dictionaries, data workflows, and standard operating procedures.
  • Maintain clear documentation for repeatability and audit purposes.
  • Follow data governance and compliance standards
  • (ref : hirist.tech)

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