Data Engineer, Business Intelligence

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About Klick Health

Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!

Responsible for the Applications Support Services for Business Intelligence & Data Analytics systems at Klick Health. This position is required to govern data analytics platforms to support analytics. Has a deep understanding of the business processes, the systems that support them, and the IS processes involved (i.e. Incident, Problem, Change, and Release Management). Acts as a liaison and key enabler between Internal Stakeholders and Data Engineering (such as Business Partners, Solution Experts, Architects, IT Services, Application Security & Compliance, etc.), ensuring systems continue running the Business operations flawlessly.

Responsibilities:

  • Lead Application support services of Data Analytics Platforms. (Tableau, PowerBI, etc)
  • Work in close partnership with business leadership team to execute the analytics agenda
  • Propose and demonstrate new opportunities and insights through Data Visualization
  • Manage internal teams and partner with external suppliers to drive operational excellence, Applications support and delivery of Data Analytics Programs
  • Support in the development of analytics database architecture to ensure data and analytics productization (Tables, View, Schemas)
  • Develops and document all analytics and business intelligence coding in Structured Query Language (SQL)
  • Gather and assess data from the reporting database, transactional database, operational data store, and external systems to assist internal and external leadership in decision making
  • Authenticates and interprets data based on results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining. Practices efficient programming that reflects solid understanding of large, complex relational data sources
  • Communicates and disseminates the results of information gathering using BI software, SSRS, and/or Excel to name a few
  • Continually assesses data quality throughout the database and coordinates with IT in the correction of source data or creation of translation sources, where applicable. Applies proper analytic methods while accounting for the right nuances, caveats and limitations of data sources
  • Continually researches and identifies best practices for business data analysis via published literature, formalized training and professional development efforts
  • Specific tool capabilities with SAP Business Objects, Microsoft PowerBI, Tableau and others
  • Support's continuous quality improvement efforts using performance metrics development and monitoring, and is able to refines vague asks into clear hypotheses, criteria and objectives while keeping the larger picture in mind

Qualifications:

  • 4-year degree or equivalent experience. (Computer science, engineering, analytics, finance, or business)
  • 3 years of professional experience with 1+ years of experience in data analytics
  • Advanced skills with SQL, Excel, data visualization and analytics tools
  • Excellent communication and presentation skills in presenting analytic results and findings at all levels internally and externally
  • Detailed understanding and experience with process documentation and improvement for gaining operational efficiency
  • Ability to see the business picture from the analytics data
  • The SME on the data and analytics being performed

Specialized Knowledge/Skills:

  • Python, Tableau, SAS, R, Power BI, SPSS, Stata, BOBJ etc.
  • Healthcare or pharmaceutical industry, highly preferred

Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of colour, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities.

We’re also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.

Equal Opportunity

Klick embraces diversity and equal opportunity. We’re committed to building a team that represents a variety of backgrounds, perspectives, and skills. All qualified applicants will receive consideration without regard to race, ancestry, place of origin, color, ethnic origin, citizenship, creed, sex, sexual orientation, disability, age, marital status, or family status. If you require disability-related accommodation during the application or interview process, simply let us know and we’ll work with you to ensure you have a positive experience.