Omnichannel Data Analytics Manager

At GSK, we are dedicated to improving the quality of human life by enabling people to do more, feel better, and live longer. As a global leader in pharmaceuticals and healthcare, we have a rich history dating back to the 19th century and a relentless commitment to advancing healthcare for the betterment of humanity.

Our mission is to help people around the world do more, feel better, and live longer. We achieve this by researching, developing, and providing innovative medicines, vaccines, and consumer healthcare products. Our dedication to scientific excellence and ethical practices guides everything we do.

The role reports to the Omnichannel (OC) Analytics & Insights Lead. The person will act in an individual contributor capacity. 

Primary Duties & Responsibilities:

OC Analytics & Insights

• Identifies and understands OC problems, opportunities, and initiatives for which analytical models can drive the development of an appropriate solution
• Applies knowledge of statistics, data modeling, data sciences and artificial intelligence to recognize patterns in customer behaviour, and make valuable discoveries that improve customer engagement.
• Establishes scalable, efficient, and automated processes for large scale data analyses/insights generation and model development, validation, and implementation.
• Conducts customer segmentation and performs continuous refinement on it
• Generates insights on behaviour/preferences/needs of target HCPs from HCP social listening data to recommend next best action and deliver enhanced customer experience (CX)

Performance Tracking & Reporting

• Supports in the development and execution of short and long-term measurement plans for proposed campaigns tactics, partnering with other key stakeholders as needed.
• Performs A/B testing, scenario analysis and other deep dive analyses to address business questions related to OC execution and impact.
• Develops processes and tools to monitor and analyze the performance of OC campaigns, channels, and content.
• Leverages knowledge of internal/external data sources to build a consolidated view on LOC’s (country) OC effectiveness basis CX metrics, HCP feedback, survey responses, and campaign performance

Cross-functional Collaboration

• Participates in cross-functional stakeholder meetings, ensuring project requirements are delivered within agreed timelines and approved budget
• Collaborates with internal COEs to identify new approaches such as data science techniques and new data sources to power OC analytics and activation opportunities.

Project Management and Support

• Creates appropriate project concept documents, including data selection criteria, aggregation requirements, measurement definitions and appropriate analyses based on business requirements.
• Supports integration of OC dynamics with broader analytics activities to help paint full picture of commercial execution and customer engagement/experience.
• Maintains, updates, and communicates documentation and knowledge of statistical methods and techniques.

Experience & Educational Qualifications:

Bachelor’s Degree in Statistics, Computer Science, Information Technology, or any other related discipline.

5+ years of recommended total experience, including 3+ years of relevant experience, preferably in data science, data analytics, or data engineering.

Preferred Certifications:

• Advanced Data Analytics Certifications
• AI and ML Certifications
• SAS Statistical Business Analyst Professional Certification
• Digital Marketing Certifications
• Project Management Certifications

Skills & Knowledge:

Technical Skills:

• Predictive Modelling: Ability to use statistical and machine learning techniques to analyze data and develop models that can predict future outcomes or identify patterns and trends in data
• Big Data Analytics: Ability to process, analyze, and derive insights from large and complex data sets that are too large to be processed by traditional data processing and analysis tools
• Machine Learning: Ability to use algorithms and statistical models to analyze data, discover HCP patterns, and make predictions or decisions
• System Administration: Ability to manage Azure administration, monitor Azure services like Databricks, Analysis services, Synapse, SQL server, ADF, ML, Storage Accounts
• Agile Architecture Delivery: Ability to manage & execute projects using Agile delivery framework
• Process Automation: Ability to implement automation using DevOps
• Database Management: Ability to design, implement, and maintain efficient and secure databases for storing, organizing, and managing large volumes of data; define best practices for Data governance & Data quality
• Data Wrangling: Ability to collect, clean, transform, and reshape raw data (unstructured data) into a structured format suitable for analysis

• Marketing Analytics & Customer Insights: Ability to gain insights into the performance of campaigns/ channels/content and its impact on customer experience, by analyzing various CX metrics, customer feedback/NPS, etc.

Behavioral Skills:

• Ability to manage complexity and effectively collaborate across teams, levels and functions
• Ability to adapt rapidly to a changing context and priorities / ability to manage ambiguity
• Ability to drive/scale automation across processes and functions to deliver efficiencies
• Ability to effectively articulate complicated information / data analysis in a way that others can comprehend
• Ability to be decisive, result oriented and effective in communication across key stakeholder groups

Tools Knowledge:

• Working knowledge of MS Office suite
• Expertise in Data engineering tools like Databricks, Data Build Tool, Azure Data Factory, Azure Synapse Analytics, CI/CD, Automated Testing, Data Lakes, DWH, Big Data, Collibra, Unity Catalog, Power BI
• Working knowledge of Project Management tools like Jira, MS Projects
• Working knowledge of Programming including CI/CD using Python, Spark, SQL, Scala
• Working knowledge of CRMs like Veeva, Salesforce
• Familiarity with Marketing automation tools like SFMC, Pardot
• Familiarity with Web Analytics tools like Google Analytics, Adobe Analytics, AEM

#omnichannel

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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