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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Data Analyst • Noida
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