Hiring on behalf of a client for a role of
Analytics Manager - Digital marketing analytics
Role and Responsibilities:
· Primary day-to-day client contacts and often interact with C-level executives.
· Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results
· Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with client's data/ IT teams to resolve issues
· Use variety of analytical tools (SQL, SAS, Python, GA, Heap, Optimizely, Excel, Tableau) to carry out analysis and drive conclusions
· Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution
· Work closely with client marketing teams to solve complex problems in digital marketing analytics (Paid Search, Paid Social, Addressable Digital, Website, SEO)
· Manages team members, including definition of objectives, oversight of execution and evaluation of performance
· Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success
· Manages communication between senior partners and clients to update project progress and solicit feedback on project deliverables
Candidate Profile:
· 6+ years of experience comprising analytics service delivery, consulting, solution design and client management
· Preferred experience in marketing analytics in banking industry in the
following fields:
o Experience running analytics for search engine marketing, paid social, search engine optimization, A/B testing, website traffic, funnel conversion, marketing attribution and customer behavior
o Technical proficiency in tools like Google Analytics, optimizely, tableau, heap, SQL
· Demonstrable leadership ability, superior problem solving and people management skills
· Excellent communication, presentation and story building skills in a consulting setup
· Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply