Job Description

JOB DESCRIPTION:

Abbott is a global healthcare leader, creating breakthrough science to improve people\xe2\x80\x99s health. We\xe2\x80\x99re always looking towards the future, anticipating changes in medical science and technology.

Our nutrition business develops science-based nutrition products for people of all ages, from helping babies and children grow, to keeping adult bodies strong and active. Millions of people around the world count on our leading brands \xe2\x80\x93 including Similac\xc2\xae, PediaSure\xc2\xae, Pedialyte\xc2\xae, Ensure\xc2\xae, Glucerna\xc2\xae and ZonePerfect\xc2\xae \xe2\x80\x93 to help get the nutrients they need to live their healthiest life.

Primary Overview:

• The consumer connections, data & analytics role will be instrumental in driving the success of marketing efforts at Abbott Nutrition brands by providing actionable insights and industry-leading measurement techniques needed for decision-making and optimization.
• The role will have to leverage a wide variety of tools, data sources (Google Analytics, Salesforce.com, Google/Facebook ad accounts, brand health tracking, etc.) and analytical techniques to answer a broad range of high-impact business questions on impact of digital marketing, CRM and ecommerce and present the insights in concise and effective manner.
• The role will also have to model complex problems, discover insights and identify opportunities using statistical, machine learning, algorithmic, data mining and visualization techniques.
• The individual will partner with Area Commercial, Marketing and Market Insights teams, Affiliates and agencies to develop and deliver these insights and business outcomes.

Major Responsibilities:

Define, drive and implement data and analytics strategy and governance

• Develop, implement, and refine core marketing measurement frameworks and models (e.g., attribution, engagement, churn, ROI, experiment methodology, segmentation)
• Source valuable data from a wide range of systems, including real-time and large-scale sources, and automate collection processes to build predictive models and machine-learning algorithms; and combine models through ensemble modeling
• Lead cost-effective storage and retrieval of data by leveraging data processing technologies (e.g., Spark) and programming languages (e.g., Python)
• Identify key metrics that drive the performance of marketing channels and marketing products, make accessible to cross-functional partners using data visualization, dashboards and reports, and drive metrics through statistical analyses of experiments

Develop actionable insights that can be leveraged by cross functional teams

• Analyze large amounts of information to discover trends and patterns to understand how audiences engage with digital and traditional content
• Decode the behaviors embedded deep into data sets using machine learning and advanced statistical algorithms
• Lead creative, hypothesis-based exploration of data against a wide cultural and human context (backdrop) to drive innovation and insights
• Able to derive the \xe2\x80\x9cso what\xe2\x80\x9d from models and support the development of compelling stories that facilitate action and drive growth.
• Transform raw data into meaningful and impactful analysis characterized by strong data governance, technique clarity, and clear documentation

Stakeholder Relationship Management

• Drive alignment of measurement strategy in the Nutrition Category.
• Develop and cultivate relationships with all relevant partners at the regional and local level.
• Partner with Affiliates on overall measurement frameworks and models to approach & recommend further collaboration initiatives across the region.

Partner with Area Marketing team to embed data & analytics

• Collaborate with Marketers and other cross-functional partners (e.g., Marketing, Market Insights, Commercial) to transform data analytics into contextualized insights
• Apply knowledge and analytics, in collaboration with cross-functional partners, to optimize marketing spend and commercial/trade spend

Tracking of digital, CRM and ecommerce performance

• Put in place an effective system to track sales, share and operational costs across digital marketing, CRM and ecommerce
• Leverage the data captured from digital marketing, CRM and ecommerce channels to provide inputs to both the Affiliates and the Area team on areas around ROI measurement, KPIs tracking, etc.

Training & Development

• Increased data and analytics knowledge/savvy throughout the Marketing organization (not exclusive to analytics team)
• Support the skills\xe2\x80\x99 development, knowledge and competence of the Area and Affiliate teams in order to effectively execute their activities and gain competitive advantage.
• Identify and share best practices across Area and Affiliates.
• Develop external partners, whose expertise can be leveraged to develop our skills and capabilities in this space.

Requirements:

• Bachelor\'s Degree in Data Analytics or related disciplines
• Minimum 8-10 years of experience in data science, analytics, digital, preferably with FMCG industry
• Deep expertise in data science, machine-learning and marketing
• Robust experience applying data science concepts to marketing (i.e., marketing I/O models)
• Expert in PowerBI
• Familiarity with R, SQL, Python, Scala, Java or C++, Salesforce.com, Google Analytics, Facebook/Google advertising, etc.
• Strong math skills (i.e., statistics, algebra), analytical thinking and business acumen
• Strong data visualization skills and the ability to translate and communicate analytics and insights to non-technical audiences

The salary for this role is between: N/A

JOB FAMILY: Marketing Support

DIVISION: ANI International Nutrition

LOCATION: Singapore
Singapore : DUO Tower

ADDITIONAL LOCATIONS:

WORK SHIFT: Standard

TRAVEL: Not specified

MEDICAL SURVEILLANCE: Not Applicable

SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Abbott