This is a role that’s both technical and creative. You’ll own all the various data sources, create pipelines that connect them together, build the dashboards and underlying infrastructure that turn subscriber data into insights the team can act on. That’s just one half of the role. On the other side, you’ll own the answers that emerge from all the work you’ve done. You’ll collaborate with teams across The Ken, from editorial, product, business, and leadership helping them see where the opportunities are, figuring out the best levers to pull, and understanding what worked, what didn’t, and why. These may be questions like why certain stories do well, why others don’t, which product levers work best, the weak points in our funnel, and insights about what subscribers of The Ken love and how we can do more for them.
This is a full-time role based out of our Bangalore office. The ideal candidate is someone who has a work experience of less than 3-4 years specifically in data engineering or data science. If you have more than 5 years of experience, please do not apply.
You have a strong command of data built over three to five years of working with it professionally. You’re comfortable with large datasets, and are quiote strong with SQL and Python. More importantly, you know which questions to ask, how to find the answers in data, and how to explain what they mean.
Here are the skills we think matter most for this role:
1. Data Analysis: taking a vague business question, breaking it into data questions, writing the scripts to pull the data, and presenting the finding as a compelling narrative that the team can act on. You know your way around cohort analysis, correlations, and the rest of the toolkit that turns raw numbers into actionable insights
2. Data Engineering: designing and maintaining the systems that collect, organise, and move data reliably, so that every analysis and experiment runs on numbers the team can trust
3. AI & Automation: Understand and have a point of view on how LLMs, agents, and AI tools can automate product workflows and repetitive analysis, and having started exploring this independently
4. Product Thinking – seeing discovery, experience, engagement and sharing through a product-first mindset
We understand not everyone may have all four today. But do you want to acquire them on the job?
The Ken offers competitive salaries and benefits, plus the following:
- An Apple MacBook laptop
- A flat, non-hierarchical, and open culture
- Universal ESOP benefits
- Health insurance for you and your family
- Unique learning opportunities related to journalism and subscription products
Have questions?
Mail us at [email protected] with the name of the position in the subject line.