Data Analytics Engineer

Company Name: HealthFirst
Location: New York
Date Posted: 17th Jun, 2018

Duties and Responsibilities:

  • Lead development and execution of highly complex algorithms and statistical predictive models from large sets of data
  • Lead the design and architecture of data models and dashboards used to retain and present key information to the business; Identify downstream impacts of changes and enhancements to current analyses, models, and algorithms
  • Analyze historical data to evaluate scenarios, identify efficacy of data, determine potential predictive value, and identify best modeling/machine learning techniques applicable
  • Partner with IT and business teams to operationalize models and algorithms to allow for real-time insights
  • Create detailed documentation of models, algorithms, and analyses created to provide transparency and auditability of work
  • Lead development of repeatable ETL processes from source systems to analytics sandbox, ensuring integrity, completeness, and accuracy of data is maintained
  • Perform statistical analysis to quantify the limitations of models
  • Act as data subject matter expert on business use, context, data quality, and other aspects/concepts of data being used for modeling
  • Develop robust algorithms to process and clean large data sets, including metadata, for known data quality and/or accuracy issues
  • Think critically about the business and how the work is performed.  Identify opportunities to improve the status quo, inject data into the decision-making process, and support progress with facts
  • Serve as a trusted contact for members of E&B or other departments. Work with the business to define methodologies that directly address concerns; present results or deliverables to the business and provide support with confidence
  • Anticipate and solve strategic and high risk business problems with broad impact on the business area by  investigating problems, detecting patterns and recommending solutions
  • Communicate new knowledge and insights gained from analysis of big data
  • As necessary, mentor a junior analyst and own responsibility for their development and coaching
  • Participate in creation and presentation of training materials on analytical techniques, business concepts, or other relevant topics to the analytics team and E&B department
  • Contribute to strategic analytics initiatives as needed
  •  Additional duties as assigned



Minimum Qualifications:

  • Bachelor’s degree from an accredited institution
  • Experience using MS Office suite, including Microsoft Access, Excel, PowerPoint, and Word
  • Advanced knowledge utilizing data analysis and querying tools such as SQL, R, and/or Python
  • Working knowledge of data visualization and pipeline tools such as Alteryx, Tableau, Amazon Redshift, or other similar tools/platforms
  • Proficiency of scripting and programming skills, especially those such as D3.js, Python, C#, or Java
  • Experience with applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Advanced problem solving skills and the ability to make critical, independent decisions within area of responsibility
  • Experience developing solutions that are scalable for large data sets and able to be placed into production

Preferred Qualifications:

  • Master’s degree from an accredited institution
  • Degree in Mathematics, Computer Science, Data Sciences, Engineering, Business Analytics, Informatics, or similar concentration
  • Excellent communication skills
  • Programming experience with C, C++, C# or Java
  • Experience with machine learning and modeling techniques such as regressions, clustering, classification, random forests, decision trees, gradient boosting, etc., including optimization of models and statistical evaluation of models
  • Experience with natural language processing (NLP)
  • Experience with AWS and analytical solutions available on the platform (Redshift, Glue, SageMaker, etc.)
  • Experience working with big data solutions such as Hadoop, mapreduce, AWS Kinesis
  • Experience using APIs to perform advanced functionality or automation of ETL, Analytical, or Visualization activities
  • Experience developing innovative solutions to complex problems
  • Excellent time management and the ability to prioritize work and complete assignments within their allotted deadline
  • Experience working with and communicating technical information to multiple levels of technical and non-technical staff in written and verbal form
  • Experience prioritizing a heavy workload in a fast paced environment
  • Knowledge of health care industry, products, systems, business strategies and products
  • Five (5) or more years of progressively complex related experience in analysis