Analytics Consultant - Python/R

Job Description : We are seeking a highly skilled and motivated Analytics Consultant/Manager to collaborate with cross-functional stakeholders and design effective analytics solutions that address complex business challenges. The ideal candidate will possess a strong blend of analytical skills, hands-on experience with healthcare datasets, and a proven ability to generate actionable insights that drive business impact.Key Responsibilities :1. Stakeholder Collaboration : - Work closely with business stakeholders to understand key challenges and opportunities.- Strategize and develop tailored analytics solutions that align with business goals.- Effectively communicate insights and recommendations to both technical and non-technical stakeholders.2. Data Analysis and Insight Generation : - Conduct detailed analysis using large datasets such as APLD (Anonymous Patient-Level Data), MMIT (Managed Markets Insight & Technology), DRG (Decision Resources Group), or DDD (Defined Daily Dose).- Identify trends, patterns, and actionable insights from complex data sources.- Deliver business-critical insights and recommendations that address key business needs.3. Requirement Gathering and Strategy : - Collaborate with stakeholders to gather and document detailed business requirements.- Translate business needs into analytics solutions, focusing on data-driven decision-making.- Define clear objectives and measurable outcomes for analytics projects.4. Solution Design and Implementation : - Develop end-to-end analytics solutions, from initial scoping to implementation and delivery.- Use advanced analytical tools and techniques to drive efficiency and accuracy in deliverables.- Ensure data integrity, quality, and compliance with business standards.5. Reporting and Communication : - Prepare and present dashboards, reports, and presentations that simplify complex analytics for stakeholders.- Provide actionable recommendations to improve business performance and strategy.Required Skills and Experience :Hands-On Experience : - Proven experience working with large healthcare datasets, such as APLD, MMIT, DRG, or DDD.- Expertise in cleaning, transforming, and analyzing diverse datasets to deliver business value.Analytical Proficiency : - Strong understanding of statistical concepts, predictive modeling, and data visualization techniques.- Ability to generate meaningful insights from raw data and translate them into actionable strategies.Business Acumen : - Demonstrated ability to align analytics solutions with broader business goals.- Strong understanding of the healthcare industry and its associated datasets.Technical Skills : - Proficiency in analytical tools and software (e.g., Python, R, SQL, Tableau, Power BI).- Familiarity with database structures and data processing techniques.Soft Skills : - Excellent communication and presentation skills.- Ability to work independently and collaboratively within cross-functional teams.- Strong problem-solving and critical-thinking capabilities.Preferred Qualifications :- Bachelor's or Master's degree in Analytics, Data Science, Healthcare Management, or a related field.- Prior experience in the pharmaceutical, biotech, or healthcare analytics space. (ref:hirist.tech)