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Analytics Manager (SQL, R/Python)

Kaav

Bentonville, AR

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JOB DETAILS
SKILLS
Adobe Product Family, Analysis Skills, Apache Hadoop, Apache Hive, Background Investigation, Business Growth, Business Intelligence Software, Cloud Computing, Communication Skills, Computer Programming, Concrete, Consulting, Cross-Functional, Customer Experience, Customer Satisfaction, Customer/Client Research, Data Analysis, Database Programming, Deep Learning, Detail Oriented, Digital Signal Processing (DSP), Economics, Entertainment and Media, Identify Issues, Investment Strategy, Machine Learning, Marketing, Mathematics, Media Sales, Microsoft Excel, Microsoft Office, Microsoft PowerPoint, Natural Language Processing (NLP), Omniture, Operations Processes, Operations Research, Pattern Matching, Power BI, Predictive Modeling, Presentation/Verbal Skills, Project Planning, Python Programming/Scripting Language, R Programming Language, Reporting Dashboards, Retail, SQL (Structured Query Language), Sales, Sales Support, Scorecarding, Software Development, Statistics, Strategic Planning, Tableau, Team Player
LOCATION
Bentonville, AR
POSTED
1 day ago
Description:
  • Responsible for defining, enforcing and promoting policies and programs to ensure best in class Customer Experience and hence drive Customer Satisfaction across our marketplace business. Core Functions include: - Design and build reports, scorecards and dashboards - Generate insights, trends and actionable recommendations, leading to implementation of initiatives and projects - Ability to build relationships and work cross functionally within partners teams (including Sales, Media Insights, Marketing teams)
Additional Job Details
  • This role requires an exceptional individual who is intellectually curious, analytical, enthusiastic, detail-oriented, and a self-starter to join our team as an Advanced Analytics Manager. This role is a highly visible individual contributor position central to the continued growth, efficiency, and success of the Client Connect team. The role will have broad exposure across Analytics, Sales and Marketing teams within Client Connect. The ideal candidate will have a strong background in research methodology, statistics, and data analytics with a deep understanding of the retail/media industry.
Role Specific Responsibilities
  • Collaborate with theClient Connect Sales and Marketing teams for the development, execution and delivery of short and long-term customer insights needs to influence media investment strategies and business growth opportunities
  • Ensure delivery of assigned insights analyses with end-to-end ownership, clear communication, detailed project plans and operational processes that drive visibility & accountability with Sales, Marketing & Analytics stakeholders
  • Responsible for the development, enhancement, and production of various predictive and Machine Learning driven models to generate behavioral shopper insights, target audiences, and optimized customer journeys
  • Drive strategic initiatives including identifying issues, creating hypotheses, executing the analysis and translating data into meaningful insights and actions.
  • Develop and present concrete hypothesis-driven impactful deliverables clearly answering the so-what clearly for Client Connect advertisers
  • Support development of executive level presentations and perspectives
  • Identify gaps and opportunities for improving existing data sources and engage with broader
  • Client teams to acquire and summarize these sources within the Client Connect environment
  • Support the Sales/Marketing teams in managing day-to-day operating activities and special projects
Basic Qualifications
  • Bachelor's degree in statistics, mathematics, economics, operations research, marketing analytics, or any related quantitative field AND 3-5 years of experience in analytics, consulting, retail, media, and/or other relevant industries.
  • MUST HAVE minimum 3 years of hands-on experience of SQL in Hive/Hadoop/Google Cloud Platform environments
  • Strong programming skills in R/Python
  • Must have hands on data analytics experience
  • Practical experience in mining, analyzing and interpreting data through various statistical
  • techniques and predictive models (e.g. Regression, Time Series, Natural Language Processing, Pattern Recognition, Classification, Segmentation, Deep Learning)
  • Must have hands-on experience with Microsoft Office Applications (e.g. Excel/PowerPoint)
  • Experience in developing and presenting strategic, action-oriented oral & written
  • communication - providing recommendations from complex analytics efficiently and engagingly to an executive audience.
Preferred Qualifications
  • Master's Degree
  • Proficiency in BI Tools (e.g. Tableau, Power BI, Omniture/Adobe Analytics)
  • Self-starter looking to develop and apply analytical frameworks to help solve complex open- ended business questions with relevant data.
  • A good balance of strong analytical skills and thought leadership
  • Thrives under pressure, balancing multiple workstreams and priorities
  • Team player who can thrive in fast-paced, results-oriented environment.
  • Trust based, strong relationship builder with internal and external partners
  • Interesting, multi-faceted personality who can deliver 5-star output and can also have FUN
  • at work
  • Familiarity with Ad Servers, DSPs, DMPs, onsite & offsite targeting, & identity graphs a plus


Required Skills : Python,SQL

Basic Qualification :

Additional Skills : Software Developer,Database Developer

Background Check : No

Drug Screen : No

About the Company

K

Kaav

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