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Data Analyst - SQL / Python

Data Analyst - SQL / Python

NEXTHIRE LLPNoida
30+ days ago
Job description

Job Description :

  • Data Analysis : Conduct in-depth analysis using advanced Python libraries (e.g., pandas, NumPy) and SQL.
  • Statistical Analysis : Apply statistical methods (e.g., hypothesis testing, regression) to extract insights from data.
  • Data Visualization : Create clear, informative dashboards and reports using tools like Tableau, Power BI, or Matplotlib / Seaborn.
  • Business Insights : Translate complex data into actionable recommendations.
  • Data Quality : Ensure data accuracy, completeness, and integrity across all sources.
  • Data Modeling : Design and maintain predictive models to support business decision-making.
  • Collaboration : Work closely with cross-functional teams, including product, marketing, and engineering, to

support data-driven :

  • 2- 3 years of experience in data analysis, preferably with a focus on statistical methods or machine learning.
  • Strong proficiency in SQL and Python, particularly in libraries used for statistical analysis (e.g., statsmodels, SciPy).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and Python-based visualization libraries (e.g., Matplotlib, Seaborn).
  • Strong understanding of data modeling concepts, including experience with databases and cloud-based platforms (e.g., AWS, GCP, Azure).
  • Proficiency in statistical techniques, including hypothesis testing, A / B testing, regression analysis, and time series analysis.
  • Knowledge of machine learning algorithms (e.g., random forests, k-means) is a plus.
  • Excellent communication skills, with the ability to explain complex analysis to both technical and non technical Qualifications :
  • Experience with big data platforms (e.g., Hadoop, Spark).
  • Masters degree or higher in computer science, statistics, mathematics, or a related field.
  • Experience implementing machine learning models in production environments.
  • Familiarity with cloud-based data platforms and data engineering practices.
  • (ref : hirist.tech)

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