Analyst in Omnichannel Analytics supports the development of data-driven omnichannel analytics plans for customers. They assist in analyzing customer interactions across multiple channels and contribute to defining and reporting key performance indicators (KPIs) necessary to measure the success of an omnichannel program. The ideal candidate is detail-oriented, eager to learn, and able to support multiple tasks effectively while providing accurate data-driven input to analytic solutions Title / Designation: Analyst The Job entails the following but not limited to: Assist in developing tabulations and summaries using Excel/VBA, Tableau, BI, SQL. Write SQL queries to extract, merge and prepare granular and aggregated datasets for data analytics and business intelligence Support in developing data analysis and reports / dashboards as per client requirements Perform data processing and advanced statistical analysis / modeling using R / Python Provide preliminary insights through data analyses and visualization for small to large secondary datasets Ability to translate a business question into analytics problem with guidance Leverage problem solving skills and frameworks on analytical solutions Ability to engage stakeholders, ask relevant questions to gather requirements and present the outcomes of projects undertaken Own projects, break down into tasks and execute end-end with guidance Ability to hypothesize, test the hypothesis using data and derive insights/suggestions to optimize business operations Possesses basic knowledge of consulting methodologies and the life sciences market Conduct market research and desk research to derive insights and inform client decision making Create compelling, insightful data-driven presentations under supervision and articulate clearly to stakeholders Execute best practices in the department regarding - processes, communication (internal & external), project management, documentation and technical requirements Demonstrate passion to learn and analyze for different therapy areas, markets, phases of product life-cycle and multi-channels with strong written and verbal communication / presentation skills Job Specification: Education/Background: o BTech +MBA/MTech o B.pharm/MPharm/ PharmD + Certifications in analytics o Minimum 1-2 years of Analytics experience Who are we looking for We are looking for people who have/can: Passion for application in healthcare and life science knowledge in a business context Very good quantitative abilities Strong problem-solving skills for all challenges Good analytical ability Good communication skills to work with stakeholders Drive and ambition to continuously learn and grow Application of knowledge based on facts and data Candidates with Pharma analytics experience will be preferred Good to have
Partner with cross-functional teams and client stakeholders to gather business requirements and translate them into robust ML/analytical solutions Design and implement Decision Engine workflows to support Next Best Action (NBA) recommendations in omnichannel engagement strategies Analyze large and complex datasets across sources like sales/Rx, CRM, call plans, market share and segmentation data Perform ad hoc and deep-dive analyses to address critical business questions across commercial and medical teams Develop, validate, and maintain predictive models for use cases such as HCP targeting, sales forecasting, risk scoring, and marketing mix modeling Implement MLOps pipelines using Dataiku, Git, and AWS services to support scalable and repeatable deployment of analytics models Ensure data quality through systematic QC checks, test case creation, and validation frameworks Lead and mentor junior analysts and data scientists in coding best practices, feature engineering, model interpretability, and cloud-based workflows Stay up to date with industry trends, regulatory compliance, and emerging data science techniques relevant to life sciences analytics 4+ years of hands-on experience in pharmaceutical commercial analytics, with exposure to cross-functional brand analytics, omnichannel measurement, and ML modeling At least 3 years of experience developing and deploying predictive models and ML pipelines in real-world settings Proven experience with data platforms such as Snowflake, Dataiku, AWS, and proficiency in PySpark, Python, and SQL Experience with MLOps practices, including version control, model monitoring, and automation Strong understanding of pharmaceutical data assets (e g , APLD, DDD, NBRx, TRx, specialty pharmacy, CRM, digital engagement) Proficiency in ML algorithms (e g , XGBoost, Random Forest, SVM, Logistic Regression, Neural Networks, NLP) Experience in key use cases: Next Best Action, Recommendation Engines, Attribution Models, Segmentation, Marketing ROI, Collaborative Filtering Hands-on expertise in building explainable ML models and using tools for model monitoring and retraining Familiarity with dashboarding tools like Tableau or PowerBI is a plus Strong communication and documentation skills to effectively convey findings to both technical and non-technical audiences Ability to work in a dynamic, fast-paced environment and deliver results under tight timelines
Title: Product Lead MH, IN Job Description We are a technology-led healthcare solutions provider We are driven by our purpose to enable healthcare organizations to be future-ready We offer accelerated, global growth opportunities for talent that s bold, industrious, and nimble With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy To explore exciting opportunities at the convergence of healthcare and technology, check out Looking to jump-start your careerWe understand how important the first few years of your career are, which create the foundation of your entire professional journey At Indegene, we promise you a differentiated career experience You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry We are offering a global fast-track career where you can grow along with Indegene s high-speed growth We are purpose-driven We enable healthcare organizations to be future ready and our customer obsession is our driving force We ensure that our customers achieve what they truly want We are bold in our actions, nimble in our decision-making, and industrious in the way we work Must Have You will be responsible for: Assist in the development and execution of the product strategy and roadmap for our SaaS and Data Management solutions in the Lifesciences industry Collaborate with internal stakeholders to gather and analyze customer requirements, market trends, and competitive intelligence to inform product decision-making Conduct market research to identify opportunities, evaluate customer needs, and define product features and enhancements Work closely with engineering teams to translate customer requirements into detailed product specifications, ensuring clear communication and alignment Participate in Agile development processes, including sprint planning, backlog grooming, and user story development Conduct user acceptance testing (UAT) and gather feedback to iterate and improve product features and functionalities Assist in the creation of product documentation, including user guides, release notes, and training materials, to support the successful adoption and use of our solutions Collaborate with marketing and sales teams to develop go-to-market strategies, product positioning, and messaging to effectively promote and sell our products Support customer engagement initiatives, including product demos, presentations, and user training sessions Monitor key product metrics and KPIs, analyze data, and provide regular reporting and insights to stakeholders About you: Bachelors degree in a relevant field (e g , Computer Science, Lifesciences, Business Administration) or equivalent practical experience 5-7 years of experience in product management, specifically working on SaaS and Data Management solutions in the Lifesciences industry Experience and knowledge of managing product development of analytical solutions / tools Understanding of the Lifesciences industry landscape, including regulatory requirements, data management challenges, key customer and patient data sources and emerging trends Proven experience in gathering and analyzing customer requirements and translating them into actionable product specifications Familiarity with Agile development methodologies and tools, such as JIRA or similar Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and present ideas to stakeholders Strong analytical and problem-solving abilities, with a data-driven approach to decision-making Self-motivated and proactive, with the ability to work independently and take ownership of assigned tasks Strong attention to detail and organizational skills, with the ability to manage multiple priorities and meet deadlines Knowledge of user experience (UX) principles and best practices is a plus Join our team and be part of an innovative company that is revolutionizing the Lifesciences industry with cutting-edge SaaS and Data Management solutions Apply today to contribute to the development of impactful products and make a difference in improving healthcare outcomes Good to have