MongoDB
About this role
A data analytics role inside MongoDB's People team, and the domain is worth understanding before you apply: you would turn HR and organisational data into decisions about hiring, workforce planning and effectiveness. The technical bar is real rather than nominal. MongoDB asks for advanced SQL over very large datasets, Python or R with a focus on data wrangling, and extensive Tableau or an equivalent visualisation tool. You would also build the curated central repository for people data with the data engineering and HRIS teams, design automated self serve dashboards, and own data governance and quality. It asks 3+ years of hands on analytics, with people or HR analytics preferred but explicitly not required. It is hybrid in Gurugram.
Who this is for
What the posting asks for:
- 3+ years of hands on analytics experience, with a focus on people or HR analytics preferred.
- Advanced SQL, comfortable manipulating very large datasets.
- Proficiency in Python or R with a strong focus on data wrangling and analysis.
- Extensive experience with Tableau or another leading visualisation tool, which the posting marks as required.
- Familiarity with data architecture fundamentals and data warehousing.
- Proficiency with data modelling and data quality best practices.
- Demonstrated ability to communicate and set priorities with stakeholders at all levels.
- Highly collaborative and organised with strong attention to detail.
- Comfort with ambiguity and the ability to work in a self guided way.
Preferred but explicitly not required:
- Experience analysing complex people data such as headcount, attrition, recruiting metrics and compensation.
- Exposure to modern cloud data warehouses.
The day to day: partnering with People teams across compensation, recruiting and talent development to understand their questions and turn analyses into recommendations, helping build the roadmap for people data investments, working with data engineering and HRIS to create and manage a curated central repository, designing automated dashboards so stakeholders can self serve, triaging analytical and reporting requests from across the People team, developing data governance and quality processes, and communicating findings to non technical audiences.
Experience: the posting states 3+ years of hands on analytics experience. The domain preference is soft; the SQL, Python or R and Tableau requirements are the hard ones.
Location: Gurugram, hybrid. MongoDB states it is looking to speak to candidates based in Gurugram for this model.
Who should apply: an analyst three or more years in with strong SQL who wants a well defined stakeholder group and a chance to build the data foundation rather than inherit it. Be clear that this is people and HR data, not product or revenue analytics, which is a genuine specialisation and not everyone's interest. If the domain does not appeal, MongoDB's engineering roles in today's list are a different path.
- 3+ years of hands on analytics experience, with a focus on people or HR analytics preferred.
- Advanced SQL, comfortable manipulating very large datasets.
- Proficiency in Python or R with a strong focus on data wrangling and analysis.
- Extensive experience with Tableau or another leading visualisation tool, which the posting marks as required.
- Familiarity with data architecture fundamentals and data warehousing.
- Proficiency with data modelling and data quality best practices.
- Demonstrated ability to communicate and set priorities with stakeholders at all levels.
- Highly collaborative and organised with strong attention to detail.
- Comfort with ambiguity and the ability to work in a self guided way.
Preferred but explicitly not required:
- Experience analysing complex people data such as headcount, attrition, recruiting metrics and compensation.
- Exposure to modern cloud data warehouses.
The day to day: partnering with People teams across compensation, recruiting and talent development to understand their questions and turn analyses into recommendations, helping build the roadmap for people data investments, working with data engineering and HRIS to create and manage a curated central repository, designing automated dashboards so stakeholders can self serve, triaging analytical and reporting requests from across the People team, developing data governance and quality processes, and communicating findings to non technical audiences.
Experience: the posting states 3+ years of hands on analytics experience. The domain preference is soft; the SQL, Python or R and Tableau requirements are the hard ones.
Location: Gurugram, hybrid. MongoDB states it is looking to speak to candidates based in Gurugram for this model.
Who should apply: an analyst three or more years in with strong SQL who wants a well defined stakeholder group and a chance to build the data foundation rather than inherit it. Be clear that this is people and HR data, not product or revenue analytics, which is a genuine specialisation and not everyone's interest. If the domain does not appeal, MongoDB's engineering roles in today's list are a different path.
Apply on company site
Opens www.mongodb.com, the employer's own application page. Applying is always free.