7 Claims Data Jobs

As a Consultant, you will work closely with internal and external stakeholders and deliver high-quality analytics solutions to real-world Pharma commercial organizations" business problems. You will bring deep Pharma/Healthcare domain expertise and use cloud data tools to help solve complex problems. Key Responsibilities: - Collaborate with internal teams and client stakeholders to deliver Business Intelligence solutions that support key decision-making for the Commercial function of Pharma organizations. - Leverage deep domain knowledge of pharmaceutical sales, claims, and secondary data to structure and optimize BI reporting frameworks. - Develop, maintain, and optimize interactive dashboards and visualizations using Tableau (primary), along with other BI tools like Power BI or Qlik, to enable data-driven insights. - Translate business requirements into effective data visualizations and actionable reporting solutions tailored to end-user needs. - Write complex SQL queries and work with large datasets housed in Data Lakes or Data Warehouses to extract, transform, and present data efficiently. - Conduct data validation, QA checks, and troubleshoot stakeholder-reported issues by performing root cause analysis and implementing solutions. - Collaborate with data engineering teams to define data models, KPIs, and automate data pipelines feeding BI tools. - Manage ad-hoc and recurring reporting needs, ensuring accuracy, timeliness, and consistency of data outputs. - Drive process improvements in dashboard development, data governance, and reporting workflows. - Document dashboard specifications, data definitions, and maintain data dictionaries. - Stay up to date with industry trends in BI tools, visualization of best practices, and emerging data sources in the healthcare and pharma space. - Prioritize and manage multiple BI project requests in a fast-paced, dynamic environment. Qualifications: - 2-4 years of experience in BI development, reporting, or data visualization, preferably in the pharmaceutical or life sciences domain. - Strong hands-on experience building dashboards using Tableau (preferred), Power BI, or Qlik. - Advanced SQL skills for querying and transforming data across complex data models. - Familiarity with pharma data such as Sales, Claims, and secondary market data is a strong plus. - Experience in data profiling, cleansing, and standardization techniques. - Ability to translate business questions into effective visual analytics. - Strong communication skills to interact with stakeholders and present data insights clearly. - Self-driven, detail-oriented, and comfortable working with minimal supervision in a team-oriented environment. - Exposure to data warehousing concepts and cloud data platforms (e.g., Snowflake, Redshift, or BigQuery) is an advantage. Education: - Bachelors or Masters Degree (computer science, engineering, or other technical disciplines),

Visionet is seeking a dynamic and results-oriented Principal - Commercial Solutions to play a foundational role in shaping the growing presence in the life sciences sector. This exceptional opportunity allows you to anchor commercial life sciences capabilities, drive innovative solutions in patient services, digital engagement, and commercial analytics, and act as a trusted advisor to clients. As a core member of the HLS Industry Solutions Team, you will be instrumental in building the domain-led solutioning engine and driving significant growth. We are looking for a highly motivated and collaborative "T-shaped" domain/functional expert with broad exposure across commercial life sciences and deep expertise in 1-2 core areas (e.g., patient services, commercial analytics). The ideal candidate is passionate about leveraging technology to transform commercial operations and excited about being a key driver in shaping and delivering solutions that directly impact our life sciences clients" success. You should enjoy working in a fast-paced, high-growth startup-like environment with a shared vision of building a scalable Industry Solutions Practice and have the opportunity to grow your leadership skills and domain expertise in an innovative setting. Key Requirements For Success: - 8-10+ years of experience in Commercial Operations within life sciences (pharmaceuticals, biotech). - Deep understanding of core commercial data assets and their application (e.g., claims data, HCP activity data, CRM data, digital engagement data, field force data). - Demonstrated experience in designing or implementing solutions in two or more of the following areas: Patient Services (e.g., hub models, access/adherence programs), HCP & Patient Engagement (digital and hybrid channels), Digital and Brand Marketing. - Proficiency in the application and integration of commercial tech platforms such as Veeva Commercial Suite, Salesforce Health/Marketing Cloud, Campaign management tools, consent capture solutions, field force enablement tools. - Strong articulation and presentation skills, with the ability to simplify complex ideas for diverse client audiences. - Experience working with US and/or EU clients (large and mid-market), including understanding cultural nuances and business practices. - Consulting mindset with the ability to structure problems, apply frameworks, develop logical recommendations, and work both independently and collaboratively.,

You are a Client Services Manager Data Science Lead responsible for leading and delivering end-to-end data science solutions for pharmaceutical clients. This role requires a consulting-focused approach, hands-on technical expertise, leadership skills, and the ability to translate business problems into data science solutions. Your key responsibilities include leading a team of data scientists, analysts, and engineers on complex healthcare and pharma data projects. You will partner with senior client stakeholders, contribute to technical solutioning and proposal discussions, and deliver full-lifecycle data science projects. This involves tasks such as data cleaning, feature engineering, model development, validation, and deployment. You will apply advanced ML/statistical techniques like regression models, neural networks, and NLP (including BERT). It is essential to stay updated on AI/ML advancements and guide the team on new approaches while ensuring that models are scalable, optimized, and implemented within sustainable frameworks. The preferred experience and skills for this role include strong programming skills in Python and SQL, familiarity with relational and NoSQL databases such as Postgres and Redshift, and hands-on experience with AWS, Azure, and tools like Sagemaker and Athena. Experience working with healthcare data (e.g., HEOR, RWE, Claims data) is beneficial. Exposure to large language models (LLMs) like ChatGPT and prompt engineering is a plus. Knowledge of visualization tools such as Tableau or Power BI is advantageous. Previous experience in a consulting environment and building data science products is highly desirable. To qualify for this position, you should hold a Bachelor's or Master's degree in Computer Science, Data Science, or a related field from a reputed institution. The ideal candidate should have 7-10 years of relevant experience in the healthcare, pharma, or life sciences industry.,

The Senior Analyst position at Sanofi Global Hub (SGH) in Hyderabad is a permanent, full-time role that requires travel as per business needs. As part of the Commercial Analytics team, you will play a crucial role in leveraging analytics and technology to drive decision-making processes that address global health challenges. Your responsibilities will include transforming commercial insights and data analytics to support various functional areas such as finance, manufacturing, product development, and commercialization. You will collaborate with stakeholders globally to develop reports, analyze patient data, and ensure timely and accurate delivery of analytics and dashboard requirements. To excel in this role, you must have at least 5 years of relevant work experience with a solid understanding of dashboard development, reporting, insight generation, and storytelling. Proficiency in relational database technologies, analytical tools like PowerBI and SQL, and programming languages such as SQL and SAS are essential. Additionally, you should possess strong project management abilities, excellent communication skills, and the ability to work effectively in an international matrix environment. Your soft skills should include strong learning agility, adaptability to changing business needs, good interpersonal skills, and a proactive approach to problem-solving. You should be a team player, curious, dynamic, result-oriented, and capable of driving innovation and automation using advanced statistical and analytical techniques. A Bachelor's or Master's degree in Information Science, Operations, Management, Statistics, Decision Sciences, Engineering, Life Sciences, Business Analytics, or a related field is required for this role. Fluency in English, both written and spoken, is essential. Join us at Sanofi and be part of a diverse team dedicated to making miracles happen and driving progress in the pharmaceutical industry. Let's work together to pursue better medications, outcomes, and science for a healthier future.,

Are you ready to disrupt an industry and change lives As an Associate at GCC's Sampling Allocation Service in AstraZeneca, you will be responsible for developing and implementing analytical programs to optimize sampling distributions for branded products. This role is a blend of managerial and hands-on tasks, involving proactive collaboration with brand team members and overseeing the internal GCC Sampling team to ensure deliverables meet specific requirements. Your role will require working closely with brand teams to comprehend rules, requirements, and sampling strategies, utilizing your expertise across various commercial datasets to ensure accurate implementation. Your contributions will play a vital role in the sample ordering and distribution system, directly influencing the development of life-changing medicines. Location: Bangalore Experience: 3-6 years Notice period: Maximum 2 months (strictly) **Essential Skills/Experience:** - A quantitative Bachelor's degree from an accredited institution in fields like Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is mandatory. An advanced degree (Masters, MBA, or PhD) is preferred. - Minimum of 2 years of experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis. - At least 3 years of experience in applying advanced methods and statistical procedures on large and disparate datasets, with expertise in areas such as Data Mining, Predictive Modeling algorithms, Optimisation & Simulation. - Proficiency and recent experience (2+ years) in Python, R, SQL, and big data technologies. - Working knowledge of data visualization tools like PowerBI, VBA, or similar platforms. - Proficiency in MS Office products, including PowerApps, Excel, and PowerPoint. - Ability to manipulate and extract insights from extensive longitudinal data sources like Claims, EMR, and other patient-level datasets. - Expertise in managing and analyzing various large, secondary transactional databases. - Background in statistical analysis and modeling, with Machine Learning knowledge as a plus. - Familiarity with IQVIA datasets and sales-related data sets like targeting and alignment, HCP eligibility, and call data. - Experience in data visualization methods and tools for effective communication of insights derived from analyses. - Strong organization and time management skills. **Desirable Skills/Experience:** - Strong leadership and interpersonal skills, with a proven ability to collaborate effectively with business leaders and cross-functional partners. - Excellent communication and influencing abilities, capable of presenting concise and compelling reviews of independently developed analyses along with actionable insights to stakeholders. - Strategic and critical thinking skills, with the capability to engage, build credibility, and maintain relationships with the Commercial Leadership Team. - Exceptional organizational skills and time management, adept at handling multiple projects simultaneously.,

As a Forecasting Manager at Beghou Consulting, you will play a crucial role in leading and managing forecasting engagements for various pharmaceutical and biotech clients. Your primary responsibility will be to develop high-quality, therapy-specific forecasting models that support commercial decision-making throughout the product lifecycle, from pipeline to post-launch. Working closely with cross-functional client teams and internal stakeholders, you will drive strategic forecasts, scenario planning, and evidence-based recommendations. To excel in this role, you must possess deep expertise in pharmaceutical forecasting, with a strong background in claims and epidemiology data. An understanding of therapeutic dynamics, patient journeys, and commercial analytics is essential for success. Your key responsibilities will include leading therapy-area-specific forecasting engagements, designing custom forecast models using different approaches, and applying your expertise in disease epidemiology and treatment flow to support robust assumptions. You will also be involved in managing structured forecast processes, leading discussions with clients on forecast inputs and model drivers, and collaborating with internal stakeholders to enrich forecasts. Furthermore, you will drive innovation and consistency in forecasting methodology, support strategic deliverables, and supervise a team of consultants/analysts on forecast building and client communication. To qualify for this role, you should have at least 9 years of experience in commercial pharma analytics, with a proven track record in the pharmaceutical and life sciences industry. A minimum of 5 years of direct experience in pharmaceutical forecasting, preferably in a consulting environment, is required. You should hold a Bachelors or Masters degree in a relevant field, with advanced proficiency in statistical forecasting methods and forecasting software/tools. Additionally, strong communication and collaboration skills are essential for this role, as you will be required to communicate complex model assumptions clearly to both technical and non-technical audiences. Demonstrated leadership skills, problem-solving abilities, and a research-oriented mindset are also key attributes for success in this position. At Beghou Consulting, we value our employees" contributions and individuality, fostering a supportive and dynamic work environment that encourages professional and personal growth. You will have the opportunity to collaborate with colleagues at all levels of the organization and work on challenging projects that drive innovation in healthcare using evolving AI techniques.,

The ideal candidate will collaborate closely with engineering teams, product managers, and stakeholders to deliver high-quality product features that align with business goals and customer needs. Key Responsibilities: - Demonstrate expertise in the domain - Practice Agile Product Ownership - Work with the Product Manager to define and prioritize the product backlog - Craft clear and concise user stories with well-defined acceptance criteria - Engage in PI Planning, sprint planning, and backlog grooming sessions - Ensure stories are development-ready and meet the Definition of Ready (DoR) and Definition of Done (DoD) criteria - Foster Team Collaboration - Engage with engineering teams to review deliverables, clarify requirements, and ensure alignment with business objectives - Serve as the voice of the customer and business throughout development cycles - Enhance Stakeholder Communication - Develop and deliver presentations and product demos for internal and external stakeholders - Gather feedback and integrate it into future iterations - Utilize Process Methodology - Operate within a Scaled Agile Framework (SAFe) or a similar enterprise Agile environment - Support continuous improvement by identifying and addressing process inefficiencies Additional Responsibilities: - Obtain SAFe Product Owner Product Manager (POPM) certification - Have experience with healthcare interoperability standards such as HL7 FHIR - Familiarity with analytics or reporting tools related to claims data Preferred Skills:,