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Cogna EducaçãoMid-level Data Analyst
Data Analyst for SOMOS Educação developing data models and insights for decision - making. Collaborating team efforts to enhance processes using Power BI and SQL analysis.
About the role
- Responsible for delivering analytics and insights to the TAVNEOS leadership team
- Designing and producing analyses using a wide range of data sources (e.g. claims data, specialty pharmacy data, demand data, electronic medical records data, etc.)
- Providing internal partners with holistic, objective, and detailed insights to inform key business decisions
- Constructing integrated pictures of brand performance
- Partnering with the brand team for impactful recommendations
- Working across analytics functions (Data Science, Forecasting, RAV, SFE, etc.) to look for new ways of working, alignments in efforts and ensure communication across various functions
- Reporting to the Rare Disease Business Unit (RDBU) Director of Commercial Insights within Customer Data and Analytics (CD&A)
- Develop and deliver analyses using complex data sources including HCP-level prescribing data, demand data, claims data, electronic medical records data, etc.
- Supporting key annual activities, including Quarterly Business Reviews, Forecasts, Business Cases and Sales Meetings by providing objective, data-driven insights
- Working with Brand and Sales leadership to translate brand strategy into meaningful metrics that can be tracked by leadership
- Generating and explaining complex analysis plans and results to internal partners including marketing, sales, finance, and pricing
- Managing relationships with external vendors to prioritize business needs and enable effective delivery of analytics, ensuring compliance with all applicable SOPs
- Enhancing team capabilities by researching and implementing new analytical tools, internal and external best practices, new data sources, etc.
Requirements
- Doctorate degree and 2 years of analytics, sales and/or marketing operations experience OR Master’s degree and 4 years of analytics, sales and/or marketing operations experience OR Bachelor’s degree and 6 years of analytics, sales and/or marketing operations experience OR Associate’s degree and 10 years of analytics, sales and/or marketing operations experience OR High school diploma / GED and 12 years of analytics, sales and/or marketing operations experience
- Demonstrated analytical skills—understands the strengths and limitations of different analytical approaches and their findings
- Excellent oral, written and presentation skills with ability to explain sophisticated concepts and controversial findings clearly to a variety of audiences, including senior management
- Ability to think strategically to support key business decisions
- Ability to work collaboratively in team-based environment across different functional groups
- Project management skills and experience in prioritizing multiple responsibilities, tasks and projects, whilst simultaneously meeting multiple partner needs
- Strong understanding of the latest developments in the biopharmaceutical industry, Health Care Providers’ drug decision-making processes, and/or DTC or Physician Relationship Marketing analytics
- Solid understanding of marketing analytics in the pharmaceutical industry (IQVIA Xponent, IQVIA, DDD/NPA/NSP, EMR, claims data etc.)
- Experience with the various data sources/providers and the relative strengths/limitations of each
- Expertise in database languages (e.g. SQL) and automated data visualization software (e.g. Tableau, Spotfire)
- Experience with advanced spreadsheets, modeling software, reporting software, and database design
Benefits
- A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
- group medical, dental and vision coverage
- life and disability insurance
- flexible spending accounts
- A discretionary annual bonus program
- stock-based long-term incentives
- Award-winning time-off plans
- Flexible work models, including remote and hybrid work arrangements, where possible
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