Senior Manager - Advanced Analytics & Insights - Storyboarding - Pharma (4-9 yrs)

SM Advanced Analytics & Insights -Storyboarding

About The Company:

ARA's client is a leading, high growth Analytics Software Development company, headquartered in the US and have a software development centre in Bangalore. Their technology-based software products are being used by the top pharma and biotechnology companies of the world. They have been recognized twice as one of the fastest growing private companies of USA.

The Role:

- The SM, Advanced Analytics & Insights bridges clients and internal teams, ensuring client needs are clearly communicated to data scientists and developers. This role involves translating Data Science outputs into client-ready deliverables, maintaining accuracy and clarity.

- The manager may lead or assist in executing workstreams for various clients, coordinating with stakeholders to manage projects and provide quick analytical solutions. Responsibilities include overseeing day-to-day client needs, managing multiple projects, and prioritizing deadlines. Strong client management, project management, problem-solving, and quantitative skills are essential. Familiarity with marketing strategies, data sources, and promotional impact methodologies is preferred.

Key Responsibilities:

- Capture client objectives and guide execution of advanced analytics solutions for pharmaceutical commercial teams such as brand and digital marketers, sales operations, payer access, and finance.

- Manage marketing optimization projects, including marketing mix modelling, test and control analyses, segmentation/targeting, budget optimization, and sales forecasting to support client decision making.

- Lead status calls with clients, foster efficient collaboration, manage changing client priorities, and resolve data and technical issues to ensure client satisfaction.

- Work across timezones with global teams and client stakeholders.

- Develop project timelines and manage resource utilization to maintain project profitability.

- Define data requirements, coordinate data transfers, gather & validate information, and review model outputs for quality assurance.

- Build strategic summaries, visualizations, and storyboarding for clients based on statistical & mathematical modelling outputs.

- Run budget optimization scenarios, generate forecasts, and perform other analysis/calculations to meet client needs.

- Support adhoc analysis and reporting requests, delivering to clients in a timely manner.

- Coordinate software support and configuration for clients and act as a subject matter expert on product features and capabilities.

Skills Required:

- Familiarity with promotional and marketing data sources, pharma industry marketing strategies.

- Ability to utilize data and models to inform media strategy and identify performance opportunities, partnering with brand and agency stakeholders.

- A knowledge of Pharma-Biotech industry and recent trends, pharma organizational structures and business functions, understanding of healthcare data and its practical applications.

- Ability to translate business problems into analytical solutions and concrete project plans.

- Expertise in use of advanced statistical, optimization, and financial models to drive decision making.

- Experience leading a project team, with ability to set and manage expectations and deliver on them to maintain high client satisfaction.

- Strong attention to detail and organizational skills.

- Excellent communication and presentation skills, with prior experience communicating analytic and technical concepts to business stakeholders. Must be familiar with information visualization best practices and have experience building analytic focused presentations in PowerPoint.

- Minimum 5+ years experience in Market Research and Business Analytics, Advanced analytics or strategy consulting within Pharma-Biotech organizations or at Healthcare data & analytic vendors and OR as a Data Scientist with 7+ years of experience in Machine Learning, Marketing, Managed Care/ Access and/or Sales Analytics in the Pharma-Biotech space.

- Deep understanding of Marketing Mix methodologies is preferred.

- Expertise in one or more of programming tools such as R, Python, SAS, and SQL is preferred.

- Familiarity with datasets and data sources in the Pharma/Biotech space including Claims, EMR/EHS, Remit Data, Lab/Diagnostics data, Customer master data, Physician Affiliation data, Specialty Pharmacy & Distribution data is preferred but not required.

Qualifications & Experience:

- Qualification: MBA or Masters-PhD in Pharmacy- Pharma -Biosciences related fields or Masters in Economics, Data Science/Analytics, Engineering, AI/ML related fields, Operations Research and/or Statistics from top institutes is preferred.

- Experience: 4-9 years.