AVP Marketing technology Audience analyst

We have a vacancy with below details,

Role :

Designations: AVP

Experience -5-10

Notice Period : Immediate to 90 days

Work Mode : WFH(Remote)

Shift : 2-11Pm

Working Days : 5 days

Mandatory Skills :

Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce,), analytic programming languages including Python, SQL, Java, SAS (any 2 tools)

Required Skills/Knowledge:

• Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain
• 5+ years experience working in enterprise-level data sciences, analytics and/or customer intelligence, including:
• 3+ years of professional digital marketing experience, working directly within Digital Platforms (ex. CDP, DMP, DV360, Google Analytics, Adobe Analytics, Neustar, LiveRamp,

Dynamic Yield, Optimizely, Adobe Audience Manager, Salesforce, etc)

Desired Characteristics:

• Proven experience executing analyses with massive data sets, complex data structures and multi-variate campaign strategies.
• Expert proficiency with leading-edge data mining techniques with analytic programming languages including Python, SQL, Java, SAS and others
• Leadership experience working with cross-functional partners (i.e., Media, Client Marketing, IT, Enterprise Operations) to deliver against mutual goals and ensure alignment of priorities and requirements.
• Working knowledge of analytic platforms and tools such as Hadoop, R, Hive as well as BI tools such as Tableau
• Operational understanding in areas such as probability and statistics; familiarity with machine learning and artificial intelligence a plus.
• Experience with compiling and analyzing data from paid media and digital marketing campaigns to report out actionable results
• Ability to provide wing-to-wing analytic activities data aggregation, analysis preparation, data interpretation and presenting strategic recommendations to client/product teams
• Expert proficiency with leading-edge data mining techniques and analytic platforms

(including but not limited to Python and R) to feed a strong data management foundation

• Creative thinker with successful history of synthesizing insights to inform business decisions and lead strategic discussions; providing innovative thought leadership and developing actionable outcomes with tangible results
• Highly motivated, assertive self-starter with the ability to work autonomously or as a strong team participant
• Experience in Agile methodologies and processes a plus
• Experience with consumer financial services organizations, preferably with exposure to credit card marketing or retail marketing, consumer protection, privacy and related laws and policies.

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Eligibility Criteria:

Bachelor's Degree with 5+ years of experience with mining and analyzing digital audience performance, or, in lieu of a degree, minimum of 7+ years of experience with mining and analyzing digital audience performance in financial domain