Senior Business Intelligence Engineer

  • Lviv, Ukraine
  • full employment

Join a brand new healthcare project using the latest technologies!

Project Details:

We are seeking a Senior Data Visualization Engineer to support the build-up and maintenance of integrative data platforms as well as the design and implementation of health economics and outcomes measurements derived from such platforms.

Client located in New Jersey (USA)

Process:

  • - Our team will be organized in Scrum Teams
  • - Occasional inside visits to the USA
  • - Regular alignments with the client’s product management, technical, and account management teams in order to meet business goals and business continuity

Requirements:

  • - Masters’ Degree in statistics, engineering, computer science, quantitative social science, public health or related fields
  • - Prior experience with data visualization tools (i.e Tableau, Qlik, PowerBI)
  • - 3+ years' experience using various technical and analytical tools to manipulate and draw insights from large, complex data sets
  • - SQL and BI experience
  • - Experience with data warehousing design, BI and development to include implementation of standards and best practices for data modeling, describing relationships between data elements, metadata, data quality, and governance
  • - Strong knowledge of reporting modeling concepts, including dimensional, snowflakes, slowly changing dimensions, surrogate, compound, and intelligent keys.
  • - Strong experience with dashboards and reports design, development, and maintenance.
  • - Proficiencies with Agile development practices.
  • - Ability to work independently and efficiently to manage multiple competing projects and initiatives and collaborate with wide-ranging stakeholders
  • - Strong verbal and written communication with the ability to communicate analytical data and insights to a wide variety of consumers
  • - Previous experience creating a research/analytical plan, completing an in-depth analysis of large data sets, communicating the outcomes or findings to others
  • - Excellent analytical, problem-solving and troubleshooting abilities

Preferred Qualifications:

  • - Certification in visualization tools
  • - Exposure to clinical, financial, administrative or other healthcare data
  • - Familiarity with big data languages such as R, Python/PySpark and familiarity with cloud architecture
  • - Experience in developing OLAP cubes in SSAS, PySpark, etc.

Responsibilities:

  • - Lead healthcare analytics visualization projects.
  • - Work collaboratively to design, build and maintain an integrative data platform from existing clinical data, administrative data, financial data, and other data sources to support reporting needs.
  • - Work collaboratively to optimally apply data warehouse, cloud and BI architecture, data science and visualization tools and techniques (i.e. dashboards).
  • - Identify and understand business and clinical issues to map these issues into quantitative questions.
  • - Coordinate the integration of data to determine clinical and financial trends and impact.
  • - Work with complex health care databases to produce statistical output and interpret results.
  • - Strong understanding of data visualization best practices, ability to understand product capabilities, and provide thought leadership on planning, data model design, labels, visualization reports/dashboards, and real-time BI.
  • - Deep understanding of data visualization cloud platform integration points and various connectivity methods to data sources.
  • - Research, suggest and apply new promising technologies, strategies, and ways to solve technical issues.
  • - Communicate insights and analytical findings to a broad range of audiences.
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