Aetea has been asked by their valued client, to assist with their need for a Business Intelligence Analyst, with pharmaceutical, commercial data experience. The client and the team you will be working in are great and offer positive challenges in a dynamic environment. A company in the Philadelphia suburbs is in need of a client facing Analyst, with BI experience, to assist with a UI project. They will be working with a small team including a Data Analyst and a Team Lead to create dashboards for a new project. Our client is seeking a highly motivated candidate for the role of business intelligence analyst. In this role, you will work with a small team responsible for designing, prototyping, and developing brand new capabilities for our clients. This work includes all aspects of data exploration, analysis, and predictivedescriptive modeling on patient data for various stakeholders in the healthcare domain. You should have a good mix of programmingcomputer science, visualization, statsmath, and operations research and ideally, you have been applying those skills for life science companies. You will design methods and models around client driven needs, and you will collaborate with various subject matter experts to inform those methods. You will assist the client delivery team with insights, dashboards, and ad-hoc analytics. You will also work with the engineering team to build prototypes and models for new product development. The ideal candidate is a self-starter who can take a novel problem and develop a unique solution. Responsibilities Work with a team to develop advanced analytic techniques to interrogate, visualize, interpret, and contextualize data and develop novel solutions to healthcare specific problems Implement a variety of analytics from data processing QA to exploratory analytics and complex predictive models Understand client product needs and translate them into tactical initiatives with defined goals and timelines Implement models using high level software packages (SKlearn, TensorFlow, PySpark, Databricks) Collaborate on software projects, providing analytical guidance and contributing to codebase Devises modeling and measuring techniques, and utilizes mathematics, statistical methods, engineering methods, operational mathematics techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines to investigate complex issues, identify, and solve problems, and aid better decision making Plans, designs, coordinates and controls the progress of project work to meet client objectives prepares and presents reports to clients Solves highly specialized technical objectives or problems without a pre-defined approach where the use of creative, imaginative solutions is required Synthesize raw data into digestible and actionable information. Identify specific research areas that merit investigation, develop new hypotheses and approaches for studies and evaluate the feasibility of such endeavors. Initiate, formulate, plan, execute and controls studies, which are designed for the purpose of identifying, analyzing, and reporting on healthcare related issues. Advise management on the selection of an appropriate study design, analysis, and in interpretation of study results. Perform studies, analyses, and evaluations of information technology systems, such as requirements analysis, feasibility studies, or costbenefit analyses. Requirements BS in mathematics, physics, statistics, engineering, or similar discipline Minimum of 5 years analysis experience Solid experience writing SQL queries Strong programming abilities Python (pandas, sklearn, numpyscipy, pyspark) Knowledge of statistical methods- regression, ANOVA, EDA, PCA, etc. Basic visualization skills- matplotlibseabornplotlyetc. PowerBI experience highly preferred. Experience manipulating data sets through commercial and open source software (e.g. Redshift, Snowflake, Spark, Python, R, Databricks) Working knowledge of medical claims data (ICD-10 codes, HCPCS, CPT, etc.) Experience utilizing a range of analytics involving standard data in the Pharmaceutical Industry e.g. claims data from Symphony, IQVIA, Truven, Allscripts, etc. Must be comfortable conversing with the end-users Excellent analytical, verbal and communication skills Ability to thrive in a fast-paced, innovative environment Advanced Excel skills including (v-look-up, pivot tables, charts, graphing, and macros) Excellent documentation skills Excellent planning, organizational, and time management skills Ability to lead meetings and give presentations Duration 6-12 months + Location Remote initially, then onsite in King of Prussia, PA REFERRAL FEES PAID up to 500!!! For more than 30 years, Aetea Information Technology has been the go-to partner for both premier clients and IT professionals alike. As a full spectrum IT Human Capital organization, we have experience in all industries, supporting clients ranging from emerging start-ups to Fortune 50. Our consultants value Aetea for their benefits, length of assignments, sequential employment opportunities, and compensation models not to mention the attentiveness and world-class support you will receive from the internal Aetea team.