The Asset Management Distribution Intelligence & Client Analytics team uses data to optimize distribution and marketing strategies for the $1TN AUM Asset Management business.
The team oversees the entire data lifecycle, from acquisition to analytics to delivery and measurement of increased ROI and sales growth.
As part of this broader group, the team’s mission is to use data to identify insights that lead to direct recommendations and dialogues that shape sales and marketing strategies.
The team works closely with distribution stakeholders at all levels of the business in order to bring these strategies to life and drive this transformation.
We are looking for a multi-talented, high-energy individual that will help create, coordinate and execute on our strategic priorities across digital platforms, digital marketing, analytics, and technology.
Our ideal candidate would have :
Coding experience (Python, Pyspark and SQL)
Experience with digital platforms (Google Analytics, SalesForce, etc)
Familiarity and comfort with marketing initiatives
Experience and affinity for working with large data sets
Strong project management and communication skills
A pragmatic view of the role digital plays in a business environment
Strong intellectual curiosity
Digital and Marketing experience
The successful candidate will be part of a high-performing team with a great culture.
The responsibilities of this role will include :
Construct analytic projects to solve business challenges and drive business growth, including implementation and change management
Evaluate analytic project results from both a statistical and business impact viewpoint; prioritize and manage stakeholders accordingly
In-depth exploration of data to develop marketing strategies
Partnering with senior digital distribution stakeholders and business partners building business cases to rationalize builds, communicating across teams
Working with technology teams to define data strategy and build data models
Conducting data analyses and prototyping basic statistical or machine learning models
Fostering a data-driven, innovative culture
Skills / Competencies Required :
At least 3+ years of experience in roles within the fields of business strategy, consulting, technology, data analysis, and / or asset management
BA / BS degree majors or minors in business, engineering, computer science, data science, finance, or related fields
1+ year coding in Python and SQL
Experience with analytic project management
Financial services experience, asset management preferred
3+ years in digital marketing preferred
Comfort in working flexibly and iteratively with large sets of data
Applying a practical analytic lens to identify key insights
Comfort working in an agile manner
Functional in Python and well versed in SQL
Strong time management and organizational skills
Strong communication / interpersonal skills
Ability to adapt to shifting priorities, requirements and timelines by utilizing problem-solving skills