Research and Data Analysis

5 months ago


Bengaluru Karnataka, India TalentNeuron Full time

TalentNeuron is a top-of-the-line HR analytics enterprise software-as-a-service product that utilizes a vast array of public data sets, including profiles, jobs, companies, universities, demographics, and skills. The product leverages cutting-edge cloud, big data, and open source technologies, frameworks, and toolsets. TalentNeuron stands as the world's foremost provider of global talent demand and supply data, offering real-time insights and predictive analytics on the job market, location, and competitive intelligence to assist clients in making informed human capital decisions, streamlining workforce access, and advancing corporate diversity, equity, and inclusion initiatives. Our clients include market leaders like Southwest, Nestle, Verizon, Facebook as well as hundreds of large and midsized enterprise companies, and that list is growing quickly.

**Responsibilities**:

- Support analysis of large data sets to identify actionable insights for model development.
- Employ analytical framework to large datasets of raw talent supply and transform them into usable input data through exploratory data analysis.
- Dissect problems using secondary research and data analysis skills, inductive and deductive reasoning, abstract thinking, and root-cause analysis.
- Help in automation of data update processes that are currently manual through development of robust, sustainable and reusable techniques.

**Requirements**:

- Minimum of a bachelor’s degree in Statistics, Mathematics, or Economics with 1-3 years of relevant industry experience
- Expertise in at least one of the following statistical analysis programs: R, Python. Good knowledge of a querying language (e.g., SQL)
- Strong knowledge of advanced functions of Microsoft Excel (lookups, pivot tables, graphics, statistics).
- Excellent oral and written communication skills; effective communication in cross-functional teams
- Meticulous and commitment to high-quality results.



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