Associate Director Analytics

Associate Director – Analytics
At Simplilearn, data has been central to how we operate — it’s helped us grow steadily over the last 16 years. Our analytics team is a group of driven problem-solvers who use structured problem-solving along with statistical, machine learning and operations research techniques to build solutions the business can actually use.
The team also owns the KPIs and dashboards that stakeholders across the organisation rely on to track performance.
We’re looking for someone to own the analytics charter end-to-end – setting the roadmap and priorities for how analytics serves the business, partnering closely with stakeholders to solve problems, and building a team that can operate independently.
What You’ll Do
Own the analytics roadmap and priorities for the organisation, partnering with leadership to decide what the team should be solving for next
Design solutions and program-manage cross-functional projects and frameworks, alongside quick-turnaround requests
Spot data gaps early, flag the risk, and drive the fix with the right teams so projects don’t stall
Act as a thought partner to business teams – helping frame problems, not just deliver answers – and grow how analytics is used across the organisation
Manage and mentor a team of 6-8 analysts, building their data, business and technical skills so they can operate independently
Give regular 1:1 feedback and coaching, and keep pushing the team toward new approaches and self-development
We’d Like You to Have
Master’s (preferred) or Bachelor’s degree from a tier-1 institute
7+ years in analytics (marketing or product analytics preferred) at a fast-paced organisation, including experience leading a team
Working knowledge of web analytics platforms (e.g. Google Analytics, clickstream data) and how web tracking is implemented
Understanding of CRO, performance marketing and campaign effectiveness measurement
Hands-on SQL and Python for data wrangling
Experience building dashboards in Tableau or a similar BI tool
Strong understanding of statistics with experience in feature engineering and data modelling

Work arrangement
No