Brand Analyst Job Wilmington area,Delaware USA,IT/Tech

Wilmington, DE

Contract Duration: 10-36 months

Rate:
Negotiable

Salary: NA $1.00

Responsibilities:

Excellent employment opportunity for a Brand Analyst in the Wilmington, DE area.

Location:

Remote, East Coast Preferred.
As a Brand Analyst, you will be responsible for providing analytical expertise to the Commercial Organization, driving strategic and operational excellence.
This is a hands-on analytical role and as a proactive internal consultant to a specific brand team, the Brand Analyst will support and design commercial solutions, enabling data-driven decisions that are based on rigorous analysis and best available information.
A high level of proficiency in syndicated and custom, primary and secondary data, for both predictive and prescriptive analytics is required.
Coordinate the procurement of various datasets, design and implement analytical solutions in support of Business Opportunities, Customer Segmentation & Targeting, HCP & Patient Opportunity Identification, Return-On-Investment analytics and Optimal Resource/Budget allocation across diverse Sales and Marketing channels, Patient & Prospective Analytics, Smart Business Experiments (Test & Learn), Market Simulation & Patient flow modelling among other business critical analyses.
This role works closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations business partners.
In addition to strong analytical skills, the Brand Analyst should have excellent communication skills with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing.
Also be required to continuously evaluate new quantitative analysis methods and technologies.
Develop a deep understanding of internal customers' data and analytical needs focusing on the customer-facing model leadership.
Champion the use of local customer insight in strategic and resourcing decisions across the business.
Identify and prioritize enhancements and new analytic capabilities.
Can lead the development, deployment, and embedding of such capabilities across the organization.
Develop innovative analytical practices to create and sustain competitive advantage.
Access appropriate information via a variety of tools and sources.
Summarize and present findings through various communication channels.
Capability in applying deeper technical skills and knowledge that is shared across the functional area (e.g., deep knowledge of key data sets, modeling capabilities, etc.)
Monitors the external environment to stay up to date on leading analytic capabilities, both within and outside of pharma, which can be applied within the organization.

Experience:

Quantitative Bachelor's Degree from an accredited college or university is required in one of the following or related fields:
Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master's, MBA or PhD).
2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis.
4+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically:
- Statistical Analysis & Modelling:
  Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
- Data Mining, Predictive Modelling & Machine Learning algorithms.
- Optimization & Simulation.

2+ years of recent experience and proficiency with Python, R, and SQL
Knowledge of big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, Map Reduce etc.,) is a plus.
Working knowledge of data visualization - Micro Strategy, Tableau, Power

BI, Qlikview, D3js or similar tools.
Experience in MS Office products - Excel and PowerPoint skills required.
Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
Expertise in managing and analyzing a range of large, secondary transactional databases is required.

Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners desired.
Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.