Data Analyst Lead

1 day ago

Bengaluru, Karnataka, India beBeeStatistician Full time ₹ 60,00,000 - ₹ 1,50,00,000
Statistician

We are seeking a detail-oriented and methodical Statistical Analyst/ Statistician to join our analytics team. The ideal candidate will collect, analyze, and interpret quantitative data to support strategic decision-making.

This role involves developing statistical models, running simulations, and producing reports and visualizations to uncover insights and guide organizational priorities.

The successful candidate will have strong proficiency in Microsoft Excel, Word, and G-Suites, as well as solid understanding of statistical concepts, including linear and logistic regression, ANOVA, Time-Series Modelling, and Bayesian methods.

In addition, the ideal candidate should have experience working with large datasets and relational databases, excellent analytical, problem-solving, and organizational skills, and strong communication skills, especially in interpreting data for non-technical audiences.

We are passionate about our democracy and the politics that shape the world around us. Our team brings together some of the sharpest minds from distinguished institutions and diverse professional backgrounds to achieve our goal.

Key Responsibilities:
  • Collect, clean, and prepare large datasets from multiple sources for analysis.
  • Apply statistical methods and models to analyze trends, patterns, and forecast.
  • Interpret and communicate complex data findings and forecasts to non-technical stakeholders.
  • Build and maintain dashboards, forecasts, and ad hoc reports.
  • Support survey design and evaluation.
  • Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals.
  • Ensure the accuracy, integrity, and privacy of all data processed.
Requirements:
  • Bachelor's or Master's degree in Statistics, Mathematics, Data Science, Economics (Econometrics), or a related quantitative field.
  • Strong proficiency in any statistical software (R/SPSS preferred).
  • Solid understanding of statistical concepts, including linear and logistic regression, ANOVA, Time-Series Modelling, and Bayesian methods.
  • Experience working with large datasets and relational databases.
  • Excellent analytical, problem-solving, and organizational skills.
  • Strong communication skills, especially in interpreting data for non-technical audiences.
Benefits:
  • Opportunity to work with a dynamic team of professionals.
  • Chance to develop skills in data analysis and interpretation.
  • Contribution to the success of our organization.
Others:
  • Varied and challenging work environment.
  • Ongoing training and development opportunities.
  • Awareness of being part of a company committed to improving democracy and the politics that shape the world around us.

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