Senior Marketing Analytics Developer

1 week ago


Delhi, Delhi, India KiE Square Analytics Full time
About KiE Square Analytics
KiE Square Analytics is a pioneering corporation that specializes in delivering cutting-edge data science and engineering solutions to drive business intelligence transformation. With over 16 years of experience, we have successfully completed more than 200 projects across various industries.

Job Opportunity:
We are seeking top-tier marketing analytics experts for our marketing analytics vertical who are eager to take on high-growth opportunities and work on diverse projects. Salary Estimate: $120,000 - $150,000 per year.

Job Responsibilities:
The successful candidate will report to the head of marketing analytics and be responsible for developing and deploying marketing mix models, multi-channel attribution models, and other marketing analytics models. This will involve collaborating with clients, finalizing project plans, meeting technical and business deliverables, and presenting findings through dashboards, simulators, and presentation decks.

Key Responsibilities:
  • Develop and deploy marketing mix models, multi-channel attribution models, and other marketing analytics models.
  • Collaborate with clients to finalize project plans and meet technical and business deliverables.
  • Presentation of findings through dashboards, simulators, and presentation decks.

Requirements:
To be considered for this role, you must have at least 4 years of experience in developing media analytics, marketing mix models, and multi-channel attribution solutions for retail and CPG industries. You should be proficient in Python and cloud stack, have strong programming skills, and be able to drive technical and business reporting through dashboards and presentations. Knowledge of sales forecasting, pricing optimization, and standard CPG analytics suite is a plus.

Eligibility Criteria:
You must hold a bachelor's degree in a quantitative discipline such as engineering, computer applications, economics, statistics, or mathematics. An MBA from a tier A institution is also required. Excellent verbal and written communication skills, along with the ability to convince executive leadership, are essential. Strong consulting and negotiating skills, as well as the ability to lead, are also necessary.

Must-Have Skills: Python, Advanced Excel, SQL, Advanced Machine Learning

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