Mid Level Data Analyst - Healthcare

Overview

At Anblicks, our vision is to transform data into value for everyone. Our data services enable marketers to recognize, better understand, and deliver highly applicable messages to consumers across any available channel. Our solutions enable true people-based marketing with identity resolution and rich descriptive and predictive audience segmentation. We are seeking a Data Analyst with a versatile skill set to undertake data science and analytics supporting the development of next-generation products for Anblicks’ business.

As part of the Data Sciences & Analytics Team, you will work hands-on with innovative technologies to build scalable data products and solutions for our US and global businesses. Your responsibilities include collaborating with partners to identify insights from data, come up with modeling requirements, applying creativity to test hypotheses, prepare & automate data preparation processes, build models, analyze and visualize results and integrate the solution into innovative data products.

What You Will Do

• • Research and develop an understanding of Anblicks products, tools, and processes
  • Assist with the validation and delivery of products or improvements
  • Prepare analysis datasets by appending data, deduping, loading data to analysis application, and merging with other datasets
  • Perform queries on the data to discern data anomalies and quality audits to ensure the accuracy of the rules or statistical models prior to delivery to clients
  • Monitor model performance and adjust models as directed by team leads and senior data scientists
  • Perform analysis and maintenance on existing models & data products as well as the recalibration or re-development of data products
  • Assist with engineering, build teams, delivery and platform teams to ensure appropriate data delivery and presentation
  • Perform basic research/analysis which includes accuracy reports, cross-tabs, frequencies, data hygiene, correlations, data summarizations, and profile reports
  • Collaborate with other data scientists and team leads to define project requirements including data sources, algorithms, and implementation
  • Offer ideas for product and/or process improvements such as automation related to focus area of work
  • Utilize data and partner with data scientists to develop and build audience propensity models or data science algorithms used in creation of information products and analytical solutions for client and partner data applications
  • Extract, load, and transform data as preparation for modeling. Build and maintain data mart solutions to support scored model outputs
    

• • Working knowledge or experience with one or more of the following tools: SQL, R, Python, Scala, Spark or similar programming language
  • 3–5 years experience with ETL, data transformation, data mart development, data source ingestion, data pipelining, data warehousing solutions
  • 4 years experience with distributed computing – Spark, Hive. Experience with Snowflake is a plus
  • 2–3 years of experience in Linux, shell scripting and/or similar scripting languages for automation
  • Ability to demonstrate critical thinking and enthusiasm for translating data into actionable insight to generate consistently accurate and useful analysis and models
  • Ability to quality control model development and productionization process
  • Bachelor’s Degree in a quantitative field (Applied Mathematics, Applied Statistics, Economics, or Computer Science) or related degree programs and 2 years of relevant work experience
  • Ability to work independently when given detailed specification and instruction
  • At least 2 years experience in building models and knowledge of ML Algorithms (GLM, Decision Tree, Boosting, Bagging Trees, SVM, regression, clustering etc.)
  • At least 2 years of experience in statistical modeling techniques to conduct forecasting and other predictive modeling services using R, Python, Scala, Spark/pySpark
  • Standout colleague, flexible, and creative
  • Attention to detail and time management delivering high quality work while meeting deadlines
  • Experience working with large datasets
  • Experience with Tableau, Microsoft Excel, and PowerPoint
    

• • Snowflake Data Analyst certification and health data experience
  • Knowledge of Deep Learning and Neural Network-based modeling frameworks
  • Familiarity with cloud environments (e.g., AWS, Google Cloud Platform, Azure etc.)