Job Description
Looking for a Marketing Automation Analyst – Entry who's genuinely interested in AI-driven Marketing and wants to make an impact from day one.
You'll be working out of Nagpur (full-time), and honestly, the day-to-day is going to revolve around Python and driven Marketing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai-driven marketing.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 2 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 6.6-12.5 LPA - fair for the junior level band and open to discussion based on what you bring.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation has historically promoted from within for a majority of its senior and lead openings.
The next logical step from this position is a senior or lead-track role within the same function. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Learning and certification support is available for tools and frameworks directly relevant to the role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.
You'll be working out of Nagpur (full-time), and honestly, the day-to-day is going to revolve around Python and driven Marketing. We're not looking for someone who just ticks boxes - we want someone who actually cares about ai-driven marketing.
On paper, we'd expect B.Tech (CS/AI) and somewhere around 2 years of experience, but we're just as interested in how you think as in what's on your resume.
Pay-wise, we're offering INR 6.6-12.5 LPA - fair for the junior level band and open to discussion based on what you bring.
Relocation assistance may be extended for candidates moving from a different city, subject to approval. Applications without a clear summary of relevant experience are less likely to be shortlisted for the first round.
No two days look identical - some are heavy on execution, others are spent largely in planning and cross-team discussions. Expect a mix of scheduled reviews, ad-hoc troubleshooting, and documentation as the workload shifts through the week. Priorities can shift mid-week depending on business needs, so adaptability matters as much as technical depth.
Cross-functional exposure is built into the role by design, so the person will regularly interact with adjacent teams and leadership. Managers here tend to give context rather than instructions, leaving room for the individual to decide how a task gets done.
A typical day starts with reviewing priority tasks and syncing with the immediate team before moving into focused execution work. Benefits include health insurance, provident fund contributions, and paid leave in line with company policy.
The environment rewards initiative - people who flag problems early and propose fixes tend to grow faster here. The organisation has historically promoted from within for a majority of its senior and lead openings.
The next logical step from this position is a senior or lead-track role within the same function. Mornings are usually spent on planning and status reviews, while the rest of the day is given over to hands-on delivery and problem-solving.
Learning and certification support is available for tools and frameworks directly relevant to the role. Disagreement on approach is expected and welcomed, provided it's backed by reasoning rather than preference alone.
Shortlisted applicants will be evaluated on both domain knowledge and practical problem-solving ability. In addition to fixed pay, the role carries eligibility for annual appraisals and merit-based increments. The package is structured with a fixed component, performance bonus, and standard health coverage.
The organisation places a premium on ownership; once a task is assigned, the expectation is to see it through without hand-holding. Work culture here leans collaborative, with regular knowledge-sharing sessions and an open-door policy for raising concerns.