People Analytics Lead

As the People Analytics Lead at inFeedo, you will play a pivotal role in deriving valuable insights and drive informed decision-making related to our customers' employees & work with our customers such as Samsung, Genpact, Tata, Lenovo, and over 250 others to help them become People-led. You will have a unique opportunity to shape our product's core & drive company growth across multiple products and geographies. You'll be at the centre of disrupting older products, methods and processes in the PeopleTech space.

In this role, you will be at the forefront of exploring data correlations, gathering relevant information, and implementing cutting-edge language models to analyze people's data and then productize them. Leveraging your expertise in data visualization, you will present insights to diverse stakeholders, including CXOs, in a visually compelling manner.

No. of positions: 1

What will you be doing?

• Conduct and establish data-driven correlations: Perform data-driven analysis to identify key trends in employee engagement, performance, learning, and other relevant metrics. Use these insights to provide actionable recommendations for decision-making.
• Utilize domain expertise to identify meaningful patterns and insights: Apply domain expertise to uncover meaningful patterns and trends in the data, utilizing your knowledge to generate valuable insights. These insights will inform actionable recommendations and enhance decision-making processes.
• Implement advanced language models: Utilize advanced language models, like GPT, to extract insights from people data and improve data-driven decision-making. Stay updated on the latest advancements in people analytics, data science, and AI to identify opportunities for incorporating them into the analytics workflow.
• Take ownership of in-house algorithms: You will be responsible for developing and maintaining in-house algorithms for predictions and other relevant tasks, ensuring their accuracy and reliability in data analysis.
• Create visually compelling data visualizations and dynamic dashboards: To effectively communicate valuable insights and key metrics to various stakeholders. Engage the audience and facilitate informed decision-making through compelling visuals.
• Collaborate with cross-functional teams: You will work closely with cross-functional teams, including Product, People Science, Data Science, and Technology, to establish data collection requirements and best practices. This collaboration guarantees the availability of high-quality data for analysis.

Who will you work with?

Varun Puri, Aditya, and of course the rest of the jovial inFeedo team.

Requirements

Is this you?

• Minimum of 5 years in people analytics, HR analytics, or a related field. Less than 5 years of experience is welcome with exceptional outcomes in your last role. 
  
• Equally proficient in SQL, R, Python, and other relevant programming languages for data analysis and manipulation, enabling efficient and versatile data processing.
  
• Demonstrated expertise in statistical techniques and methodologies, facilitating accurate data correlation analysis and enabling the extraction of meaningful insights.
• Skilled in utilizing data visualization tools like Tableau, Power BI, or similar platforms to present insights in a clear and visually compelling manner, ensuring effective communication of findings.
• Experienced in working with Language Models such as GPT, OpenAI, or Hugging Face, leveraging their capabilities to analyze and derive insights from people data, enabling informed decision-making.
• Exceptional communication skills, capable of translating complex data findings into actionable insights for diverse stakeholders, ensuring understanding and driving positive outcomes.
• Proven track record in delivering projects from initiation to completion.
• Demonstrated leadership abilities, with a passion for mentoring and guiding a team of data analysts, fostering their growth and development in the field of people analytics.

Good to have:

1. Experience working on a B2B SaaS product or in a B2B SaaS company
2. Experience with data modeling and ETL pipelines

Our Current Tech Stack:

1. MEA