Sr. Data Analytics Engineer

Overview of Providence: At Providence, we use our voice to advocate for vulnerable populations and need reforms in health care. We pursue innovative ways to transform health care by keeping people healthy, and making our services more convenient, accessible and
affordable for all. In an increasingly uncertain world, we are committed to high-quality, compassionate health care for everyone-regardless of coverage or ability to pay. We help people and communities benefit from the best health care model for the future-today.
Together, our 119,000-plus caregivers/employees serve in 51 hospitals, more than 1000 clinics and a comprehensive range of health and social services across Alaska, California, Montana, New Mexico, Oregon, Texas and Washington in United States.

How is this team contributing to the vision of Providence

Providence is committed to improving caregiver and patient experience through simplification, modernization, and innovation. The Shared Service Analytics team is key to this mission, focusing on modernizing our analytical data platform. As the Shared Services Analytics team, we attempt to do our bit towards this mission by developing analytics tools that allow finance caregivers to identify financial inconsistencies and accelerate analysis.

By leveraging data-driven insights, the team plays a critical role in advancing continual service improvement and supporting Providence's mission.

Our Team culture:

• Work environment, which is collaborative and driven by Learning, exploration & experimentation mindset.
• Empowering & Enabling individuals and teams to realize their full potential.
• Focus on outcomes, solving users pain points & predictable delivery.
• Data driven decision making on vision & roadmap of Products.

What will you be responsible for

We are in search of a candidate with a versatile skill set encompassing data analysis, engineering, machine learning, and programming. The candidate should demonstrate expertise in tackling complex data Analytics 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 warehousing and Data Engg Excellence: Design and develop robust data pipelines, ETL processes, and data integration strategies to ensure seamless data flow from various sources into the CDW/Data Lake store.
• Advanced Analytics and Modeling: 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.
• Presentation and Communication: Present findings and insights to stakeholders/ non-technical users through data visualizations and reports in a clear and understandable manner.
• Statistical Analysis and Validation: Engage in statistical analysis and hypothesis testing to validate assumptions.
• 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 experience working on Business Intelligence solutions.
• Has a strong passion for data and for building insightful reports and exploring large relational datasets.
• Seeks to create strong partnerships within Providence India and across Providence with other Data / Solution Architects and contributes to the enterprise data models.
• Conceptual understanding of relational, NoSQL databases, indexing, partitioning and parallel data processing
• Ability to write SQL/R/ Python scripts or any other scripting language to retrieve data
• Ability to build reports using PowerBI (preferred), Tableau or any other reporting tool
• Experience in cloud technologies experience (Azure preferred) .
• Expertise in statistical analysis, machine learning, and predictive modeling.
• Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
• Hands-on experience with GPT architecture, including designing, training, and customizing for LLM, is a significant advantage.
• Experience in Healthcare domain would be a plus