Data Analyst - Python/SQL

Position : Data Analyst Experience : 2-3 years Qualifications : BTech, MTech in CS or Maths computing or any other degree in statistical background College Preference : Tier 1 & Tier 2 colleges. Job type : Hybrid Model with minimum 3 days a week in office. Department : Tech Reporting Person : CTO / CEO Round of Interviews : 2-3 based on candidate. 2 or 1 technical round and 1 team fit round. First, we will give them a practical task to work on and will be evaluated. Responsibilities : - 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 strategies. Requirements : - 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 audiences. Preferred Qualifications : - Experience with big data platforms (e.g., Hadoop, Spark). - Master's 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)

Location: noida, IN

Posted Date: 1/4/2025