Associate - Client Engagement Analytics - Wealth Management
COMMERZ III, OBEROI GARDEN CITY, India
Morgan Stanley
Key responsibilities will include but will not be limited to:
> Develop comprehensive analytical and reporting solutions to support Wealth Management Field strategy and business administration, including visual and self-service analytics solutions (Tableau and Dataiku), ad-hoc insights, and executive presentations
> Build data flows and curated datasets to support downstream insights, measurement and KPIs for enable business decision making
> Identify opportunities to streamline, scale and enrich existing curated data to reduce redundancy, increase accuracy and performance
> Partner with technology teams to develop new data ingestion pipelines into the data lake and tooling for business utilization
> Act as center of excellence and develop best practices for business reporting and maintain a high degree of data quality and validation procedures for all deliverables
Experience:
> Bachelor's degree in science/engineering/mathematics; MBA or other advanced degree preferred
> A minimum of 3 years of experience in Data & Analytics (overall 3-5 years), preferably in the financial services industry
Required Skills:
> Strong proficiency in SQL, Python and expertise in hands-on data analytics and providing insights; experience in defining analytical approaches and applying a range of analytical tools to synthesize insights and develop solutions
> Experience with visual analytics applications like Tableau.
> Experience in data flow automation tools like Dataiku is a plus.
> Knowledge of ETL processes for automating and integrating data from multiple sources into a centralized data repository like - SQL Server, Snowflake, Hadoop
> Proficiency with Microsoft Office tools (Excel, PowerPoint)
> Keen focus on accuracy and analytical rigor as well as attention to detail, given the highly visibility nature of deliverables
> Track record of working independently and solving problems creatively, as well as the ability to debug/maintain complex codes, with a strong sense of accountability and an eye for innovation
> Strong skills in oral and written communication including experience in effectively and transparently communicating with colleagues and management in a different geographic location
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Data Analytics Data pipelines Data quality Engineering ETL Excel Hadoop KPIs Mathematics Pipelines Python Snowflake SQL Tableau
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