Manager/Senior Manager/AVP - Business Intelligence + Digital Analytics - Investment/Asset Management Firm

Hiring for Leading Investment/Asset Management Organization for Mumbai

Responsibilities :

- Lead analytics for a product area, supporting multiple digital product stakeholders hungry for analytics and insights

- Create OKRs, monitor performance of digital mobile/web features, build hypothesis, conduct A/B testing, and identify opportunities for new features

- Get involved and deliver projects ranging from simple trend analysis to cross-channel journey analysis to prescriptive analytics which includes data mining, business judgment and collaboration to improve the customer experience

- Manage and work on all phases of the analytics lifecycle, including documenting data lineage, analysis scoping, data development, hypothesis development, data analysis, generating insights, developing, and delivering presentations of findings

- Look at customer interactions and events across a variety of channels to better understand customer journeys and friction points

- Partner closely and collaborate with data management teams, strategy teams, and other analytics resources across multiple functional teams

Qualifications :

- 6+ years of industry experience in a data product / analytics field.

- Bachelor's degree required, and Master's degree preferred.

- Intellectually curious and eager to learn new things with an eye towards innovation

- Strategic thinker with the ability to focus on business goals and quickly define and deconstruct problems leveraging strong analytical and end-to-end problem-solving skills.

- Excellent at solving problems independently

- Highly organized and able to prioritize multiple tasks

- Excellent written and oral communication skills with the ability to present information in differing degrees of detail and form depending on the audience

- Operational business knowledge of processes, data, controls, and technology platforms

Technical Skills :

- Strong SQL skills with ability to pull data using multiple joins, sub-queries and advanced functions in an enterprise scale database environment and/or Hadoop environment

- Foundational to advanced skills in tools such as Adobe Analytics, Tableau, SQL workbench

- Expertise with business intelligence and data wrangling tools such as Alteryx, SAS, or Python

- Expertise with visualization techniques for data analysis and presentation (Tableau preferred)

- Basic skills with JIRA, Confluence

- Proficiency in Microsoft Word, Excel, PowerPoint