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Senior Data Analytics Engineer

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.


Why Us?

  • Best In-class Benefits
  • Inclusive Leadership
  • Reimagining Healthcare
  • Competitive Pay
  • Supportive Reporting Relation

We are in search of a candidate with a versatile skill set encompassing data analysis, engineering and programming. An ideal fit for this role would be someone who has experience in building data platforms and pipelines and has successfully transitioned to machine learning. The candidate should demonstrate expertise in tackling complex data science problems, extracting meaningful insights, and contributing to data-driven decision-making. Collaboration is pivotal to success in this position, and we expect the candidate to thrive in a team-oriented environment. Moreover, we greatly value a strong commitment to delivering high-quality results and a keen focus on engineering excellence.Collaboration and Stakeholder Engagement: Collaborate with stakeholders and cross-functional teams, including data engineering and product management, to understand requirements and ensure data solutions align with business objectives.
Data Engineering Excellence: Design and develop robust data pipelines, ETL processes, and data integration strategies to ensure seamless data flow from various sources into the Snowflake /DataLake.
Reporting, Advanced Analytics and Modeling: Design and Create Power BI Dashboard, Conduct sophisticated data analysis and use innovative models to solve complex business problems. Utilize state-of-the-art statistical and machine learning techniques to extract valuable insights.
Continuous Learning and Innovation: Stay updated with the latest advancements in data science and identify opportunities to integrate cutting-edge technologies and methodologies. Lead research initiatives to explore new approaches to data analysis.
Exploratory Data Analysis (EDA): Conduct EDA to gain deep insights into data patterns, structures, and characteristics. Use visualizations to communicate effectively.
Statistical Analysis and Validation: Engage in statistical analysis and hypothesis testing to validate assumptions.
Machine Learning Implementation (Good to have): Develop and deploy advanced machine learning models to address specific business challenges effectively. Evaluate and fine-tune algorithms for improved accuracy and performance.
Presentation and Communication: Present findings and insights to stakeholders/ non-technical users through data visualizations and reports in a clear and understandable manner.
Documentation and Knowledge Sharing: Document the data analysis process and methodologies for future reference and knowledge sharing.
Cultural Enrichment: Foster a culture of innovation, knowledge-sharing, and continuous improvement within the data science team.Who are we looking for?3+ years of hands-on experience in building data analytics, data engineering and machine learning solutions (Good to have).
Solid experience with Azure Stack services and Snowflake.
Fluent and fast with SQL and deep skills in dimensional modeling.
Proven expertise in building Interactive Dashboards in Power BI/Tableau.
Good to have expertise in advanced statistical analysis, machine learning, and predictive modeling.
Proficiency in programming languages is preferably Python.
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
Exposure in building analytical solutions utilizing real-time and semi-structured data is big plus.
Bachelor's or master's degree in computer science, or a related field.

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.

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