EY is seeking an experienced forecasting professional to design and apply comprehensive methods, practices, policies, tools, and processes to govern and control the entire lifecycle of data assets. The role involves performing maturity assessments on data management capabilities and advising on tools and roadmaps for implementation, with a focus on the Life Sciences Sector and commercial pharma.
Requirements
- 3+ years of experience in commercial analytics, strategic/financial forecasting and preferably demand planning/supply chain forecasting.
- Proven ability to construct and direct technology projects in line with organizational goals.
- Expertise in project and program delivery methodologies, with the ability to mentor others.
- Strong understanding of data privacy and governance principles.
- Experience in enterprise strategy and data management.
- Proficiency in metadata management and ontology design.
- 3-6 years of experience in python programming specializing in data handling, managing, ETL jobs
- 3-6 years of hands-on experience in querying data in cloud platforms such as AWS, Azure etc.
- 3-6 years of experience in building statistical forecast models for pharma industry
- Exposure to sourcing/automating data pulls using APIs from different platforms e.g. evaluate pharma, pricecentriq
- Pharma forecast data exposure preferred. E.g. Exposure to IQVIA MIDAS, KANTAR, GLOBOCAN
- Understanding of Concepts and Metrics in forecasting funnel. E.g. Incidence, prevalence other Epi metrics, Units, patients, dosage, Line of therapy etc.
- Visualization Tools: Power BI, Spotfire, Power Apps
- Data Manipulation & Analysis: SQL, Excel
- Programming Languages: Python
- Data Sources: Familiarity with relational databases, data lakes, and clinical trial data systems
- Cloud Platforms: AWS (S3, EC2, Lambda), Azure (Data Lake, Azure Functions)
- Programming Languages: Python (Dash, Pandas, NumPy), SQL
- DevOps Tools: Jenkins, Git, GitHub (good to have)
- Database Technologies: MySQL, PostgreSQL, NoSQL databases
- Certification in AWS Solutions Architect / Microsoft Azure Data Engineer (good to have)
- Statistical Programming Languages: Python, R
- Libraries & Frameworks: Pandas, NumPy, Scikit-learn, StatsModels, Tidyverse, caret
- Data Manipulation Tools: SQL, Excel
- Data Visualization Tools: Matplotlib, Seaborn, ggplot2,
- Machine Learning Techniques: Supervised and unsupervised learning, model evaluation (cross-validation, ROC curves)
- Specialized skills in Data Fabric, Data Governance, Enterprise IT Architecture, and other data management disciplines
- Familiarity with current techno-commercial context and ability to integrate technology thinking into customer solutioning
Responsibilities
- Design and apply comprehensive methods, practices, policies, tools, and processes to govern and control the entire lifecycle of data assets.
- Perform maturity assessments on data management capabilities and advise on tools and roadmaps for implementation.
- Design and implement data governance frameworks that align with business objectives.
- Collaborate with stakeholders to build analytics solutions that deliver tangible business value.
- Conduct maturity assessments to enhance data management capabilities across the organization.
- Construct and direct technology projects in line with organizational goals.
- Build statistical forecast models for pharma industry.
Other
- Travel as required to meet client needs and project demands.
- Foster strong relationships with clients, acting as a trusted advisor and advocate for their success.
- Collaborate with clients and stakeholders to translate business asks to scalable, operable solutions
- Provide leadership and development of junior resources
- Build an organizational culture that fosters inclusion and innovation.
- Create an environment that fosters professional and career development.
- Develop and mentor junior team members, fostering a culture of continuous learning and growth.
- Strong analytical skills to develop creative solutions for complex problems.
- Strategic thinking to drive sales, business growth, and client satisfaction.
- Excellent communication skills, with the ability to convey complex information clearly.
- Demonstrated emotional agility and the ability to collaborate in hybrid environments.
- Bachelor’s or master’s degree preferably a business degree.
- Well-developed business acumen and strong problem-solving attitude with the ability to visualize scenarios, possible outcomes & operating constraints.
- Good communication skills both written and oral, ability to make impactful presentations & expertise at using excel & PPTs.
- Excellent problem-solving skills and ability to scale engagements at will
- A proactive approach to identifying and solving client issues.
- Excellent communication and leadership skills to guide teams and interact with clients.
- Demonstrate creativity in solving complex problems, have a track record of leading successful projects, and can navigate the intricacies of client and team management.
