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Contact: Kyle Diamond – kdiamond@penfieldsearch.com

No 3^rd party agencies

Job Description:  Analytics lead who possesses excellent communication skills, has the ability to engage with and influence senior team members, and is able to translate analytical outputs into important recommendations for these business partners.

Responsibilities:

• Partner with cross functional teams on projects and/or programs to systematically derive insights that ultimately drive substantial business value for company and patients.
• Coordinate building of high-performance algorithms, prototypes, predictive models and proof of concepts using Python or R.
• Identify business needs, propose and complete analytical approaches.
• Be able to effectively communicate analysis ideas, progress and results to leadership and business partners.
• Accountable for measurement of spend effectiveness and for recommendations on optimization of future spend across brands, tactics, channels, and audience types.
• Collaborate with Marketing, Media, Finance and other CD&A teams to help build marketing budgets and monitor spending to ensure cost-effectiveness and improve return on investment.
• Work closely with marketing and finance teams to analyze the financial impact of marketing initiatives.

Requirements:

• Doctorate degree and 2 years of data science and/or analytics experience, or Master’s degree and 4 years of data science and/or analytics experience, or Bachelor’s degree and 6 years of data science and/or analytics experience, or Associate’s degree and 10 years of data science and/or analytics experience, or High school diploma / GED and 12 years of data science and/or analytics experience
• Excellent organization/planning skills and talent for simultaneously managing multiple large and complex projects.
• Ability to collaborate and influence collaborators, business partners and IS resources to drive analytic projects end-to-end.
• A proven track record of interpreting and communicating analytical insights to non-technical & technical partners and stakeholders using clear and concise language.
• Technical proficiency with strong logical, problem solving, and decision-making skills.
• Passion for learning and staying on top of current developments in advanced analytics.
• Marketing Mix and/or Multi Touch Attribution experience.
• Expertise in using analytic tools such as Excel, R, SQL, Python, Tableau.
• Experience with the application of statistical estimation techniques and/or optimization techniques.
• Expertise in pharmaceutical data sets, such as prescriber-plan data, patient-level data, transactional claims, EMR/EHR data, SPP Hub data, media data, etc.
• Experience working with large datasets, experience working with distributed computing tools (Databricks, PySpark).

Pay rate: The annual base salary range for this opportunity in the U.S. is $150,000.00-$162,000 + bonus + stock