IKS Health - AVP - Business Intelligence - US Healthcare

Key Responsibilities :

- Will work with product, technology and operations teams to drive complex data and trend analyses to root cause issues and propose ways to improve platform and tools, thereby contributing to improved customer experience.

- You will also be responsible for benchmarking and measuring the performance of various business operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data. In this role, you will also get an opportunity to incubate and develop an analytics team for Market Business Operations.

- You will be detail-oriented and organised, capable of handling multiple projects at once, and capable of dealing with ambiguity and rapidly-changing priorities. Our client's environment is fast-paced and requires someone who is flexible, detail-oriented, and comfortable working in a deadline-driven work environment.

Roles and Responsibilities :

- Work closely with the leadership team and programs to identify, define and document business intelligence (BI) and analytical reporting needs

- Consolidate information into cohesive and insightful analytical reports for use in decision-making. Design and generate high quality and impactful BI reports that drive value and process efficiency

- Mine DW / BI platforms to fetch raw data and analyse it to prepare insightful statistical reports

- Automate the report generation process though use of BI tools and programming techniques: such as SQL, SAS, DW concepts & advanced Excel

- Deploy visualisation tools and techniques such as R, Tableau & Info graphics to build comprehensive dashboards

- Identifies opportunities for improving business processes through detailed and thorough root cause analysis

- Participate in studies of new and existing programs and special projects to determine feasibility thereby resolve problems including organisational, analytical & procedural

- Strong knowledge of forecasting, optimization, classification, segmentation and other statistical or mathematical techniques

Critical thinking skills in formulating hypotheses, interpreting results, and being able to make educated guesses when data may be sparse or unavailable

Desired skills:

- Masters/ Bachelor's degree in Statistics/ Mathematics/ Operation Research or related discipline is preferable

- 12+ years hands-on experience in advanced data analytics, statistical modelling techniques, business intelligence & consulting in US Healthcare (RCM).

- Experience across Regression (Linear/ Logit/ Gamma), Clustering, Non Linear Time Series, Hypothesis testing, OR and Optimization techniques, Fraud Analytics etc

- Experience in predictive and prescriptive modelling; with data visualization skills

- Ability to handle multiple projects simultaneously and prioritize appropriately

- Ability to work independently and share status updates on work progress

- Strong verbal and written communication skills

- Must have strong knowledge of Statistical concepts (i.e. R and SAS)