
Quantitative Campaign Strategist
4 days ago
We are a leading integrated political consulting firm specializing in building data-driven 360-degree election campaigns.
We bring together data-backed insights and in-depth ground intelligence to create holistic electoral campaigns that spark conversations, effect change, and shape electoral ecosystems.
Our team comprises some of the sharpest minds from distinguished institutions and diverse professional backgrounds, bringing 7 years of experience in building electoral strategies.
Job DetailsWe are seeking a detail-oriented and methodical Statistical Analyst/ Statistician to join our analytics team.
The ideal candidate will be responsible for collecting, analyzing, and interpreting 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 role also requires the candidate to be able to report and publish insights from data from time to time.
Responsibilities- Collect, clean, and prepare large datasets from multiple sources for analysis.
- Apply statistical methods and models (e.g., regression, hypothesis testing, inference building, panel, categorical, multilevel 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 (sampling, weighting, post-stratification if applicable).
- Collaborate with data engineers, subject matter experts, and decision-makers to define analysis goals.
- Ensure the accuracy, integrity, and privacy of all data processed.
- Bachelors or Masters degree in Statistics, Mathematics, Data Science, Economics(Econometrics), or a related quantitative field.
- Strong proficiency in Microsoft Excel, Word as well as G-Suites.
- Strong proficiency in any statistical software(R/SPSS is preferred).
- Solid understanding of statistical concepts, statistical modelling, including, but not limited to linear and logistic regression, ANOVA, Time-Series Modelling, and Bayesian methods.
- Experience working with large datasets and relational databases(graduate or undergraduate experience will also be considered).
- Excellent analytical, problem-solving, and organizational skills.
- Strong communication skills, especially in interpreting data for non-technical audiences.
- Must have demonstrated ability to manage large data-sets simultaneously with a purpose of building hypotheses and inference testing.
- Proven academic excellence/research experience in quantitative fields such as econometrics, financial , mathematics, bayesian statistics etc.
- Model building experience in Python, R will be an advantage.
- Experience with query writing and data automation related tasks (SQL, VBA etc) is a plus.
- Ability to independently work on multiple projects and/or manage key requirements of internal stakeholders.
- Prior experience/Postgraduate experience in publishing academic research is a plus.
Bangalore
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