Job Title: Assistant iQ Analytics Manager
Location: Mumbai HO
Reporting to: COE Manager- iQ & Assortment
About The Role
Assistant iQ Analytics Manager is a role where you would enable senior leadership decision making by identifying the key drivers of KPIs by building causal models and scale successful models both in design and on ground execution. You would execute deep, complex quantitative analyses that translate data into actionable insights. You will be supporting projects under development that can improve the performance of the KPIs.
What You’ll Do
You will deep dive into assessment of key drivers for KPIs by drawing relevant business hypothesis and quantify the impact of these drivers on the relevant KPI
You will be responsible for defining and improving key metrics and communicating business trends to leadership
You will be working closely with the business/product teams to enable data driven decision making.
You are required to think at scale and integrate solutions into product systems
What You’ll Need
Educational/ Work ex:
○ Bachelors in Engineering, Computer Science, Math, Statistics, or related discipline from a reputed institute or an MBA from a reputed institute
○ 5+ Years of experience in a relevant role
Required Abilities / Competencies
○ Ability to think on scale and apply the right analytical/ statistical solve
○ Ability to identify new opportunities for business based on internal/ external data
○ Ability to identify and enable adoption of innovative solutions to business problems
○ Ability to trade-off between different approaches/ metrics to arrive at optimal solutions
○ Strong organizational, communication, presentation and project management skills
○ Ability to course correct and deliver in a changing business environment
○ Exceptional written and verbal communication skills
○ Ability to perform gracefully in a multitasking project environment with attention to detail
Technical capabilities:
○ Proficient in SQL, Python, Excel
○ Strong background in statistical modelling, machine learning, AI.
High expertise in building machine learning models.
○ Good to have working experience with BI tools (Power BI, Tableau, Qlikview, Datastudio,etc)
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