Position Summary 

As an Inizio Ignite Senior Analyst you will be a core member of client engagement teams, leading sophisticated analytics workstreams and owning the development of high-impact analytical deliverables. You will apply advanced analytical, coding, and modelling skills to solve complex business problems for life sciences clients, while contributing to methodological best practices across the data analytics team. 

A significant portion of this role will focus on commercial analytics and business intelligence, including marketing and sales analytics, real-world data analysis (e.g., claims and EHR), and the design and delivery of dashboards and data visualizations that support strategic and operational decision-making. 

In this role, you will work closely with case team leadership to design and execute analytics approaches, translate ambiguous business questions into structured analytical plans, and communicate insights clearly to both internal stakeholders and clients. 

Desired Skills and Experience 

The ideal candidate for the Senior Analyst position is a highly motivated, analytically rigorous individual with strong ownership mentality, excellent communication skills, and the ability to operate independently in a fast-paced consulting environment. 

• Proven analytic experiences and problem-solving skills (Master’s degree with a major in a related field of quantitative science e.g., engineering, computer/data science, statistics, mathematics, etc.)  

• Senior Analyst: Master’s degree plus 1-2 years of relevant work experience or PhD’s degree  

• Demonstrated expertise in processing and analyzing large datasets using SQL and Python/R/SAS; strong Excel skills (e.g., Power Query, VBA) a plus, with experience applying these skills to commercial analytics use cases such as marketing performance, sales effectiveness, patient journeys, and market dynamics 

• Strong foundation in statistical analysis and machine learning, including hypothesis testing, supervised and unsupervised learning, and model evaluation 

• Experience working with cloud-based data and analytics environments (e.g., AWS, Azure, Snowflake) 

• Proficiency in business intelligence, dashboarding, and data visualization using tools such as Tableau, Power BI, or Qlik Sense, with the ability to translate analytical results into clear, decision-ready insights 

• Experience working with real-world healthcare and life sciences datasets (e.g., claims, EHR, lab, provider, Rx, and payer data; sources such as Komodo, IQVIA, Symphony, Truven, Optum, Flatiron), particularly in commercial and market-facing analytics contexts; familiarity with omnichannel commercial analytics (e.g., HCP engagement, marketing mix, channel performance) is a plus 

• Ability to independently structure analyses, manage multiple priorities, and deliver high-quality work under tight timelines 

• Strong written and verbal communication skills, with the ability to explain complex analytical concepts to non-technical audiences 

• Experience working effectively as part of hybrid teams across multiple geographies, demonstrating strong collaboration, adaptability, and comfort operating in a global consulting environment  

Role Overview: 

As a Consultant – Analytics - COE, you will design, execute, and scale analytical workstreams that power ClearView’s client engagements. You will work on projects such as ATUs, forecasting, conjoint analyses, proprietary data mining and survey designing and coding (e.g., Qualtrics), while contributing to tool development and analytics automation for the firm. As a CoE team member, you will support global project teams in structuring, analyzing, and visualizing complex datasets to inform strategic recommendations for life sciences clients. You will combine strong analytical skills with an understanding of life sciences to help answer critical questions across the product lifecycle.

Key Responsibilities:

• Translate business questions into clear analytical approaches, data requirements, and model structures for engagements spanning new product planning, market access, corporate and investor assessments, and diagnostic strategy.
• Collect, clean, structure, and validate data from multiple sources, including sales, claims, epidemiology, primary research outputs, and internal proprietary datasets.
• Design, program, and analyze quantitative surveys, including ATUs, demand assessments, and pricing research; support project teams in defining sampling plans and questionnaire logic.
• Build and maintain quantitative models for market sizing, forecasting (patient based and sales based), patient flow, scenario testing, and pricing / contracting simulations across a variety of therapeutic areas and business questions.
• Conduct conjoint / discrete choice and related trade off analyses, including experimental design, model estimation, and result visualization under guidance from senior team members.
• Support web crawling and data harvesting efforts to automate tracking of markets, competitors, and financial / deal activity where appropriate.
• Develop and maintain reusable analytical assets (e.g., standard forecast frameworks, KPI dashboards, ATU codebooks, pricing simulators) that can support multiple types of strategic work, including launch, access, and corporate growth questions.
• Develop dashboards and visuzalizations (e.g., in Excel, PowerPoint or BI tools) that clearly communicate key findings and trends to internal and client stakeholders.
• Support the creation and refinement of reusable analytical tools and templates (e.g., standard forecast models, patient flow frameworks, KPI trackers).
• Document assumptions, methodologies and data sources to ensure transparency, reproducibility, and efficient hands offs across global teams.
• Collaborate closely with Insights and consulting teams to integrate analytics outputs into cohesive storyline and client deliverables.
• Contribute to internal capability building by sharing analytical best practices and participating in developing training material and code or template libraries.

Qualifications & Requirements:

• 4–6 years of experience in analytics, forecasting, or data driven roles within life sciences consulting, pharma, healthcare analytics, or related sectors; strong analytical internships may be considered.
• Undergraduate or Master’s degree in a quantitative or life sciences field (e.g., engineering, statistics, mathematics, economics, biostatistics, pharmacy, biotechnology).
• Strong quantitative and problem-solving skills, with the ability to decompose ambiguous business questions into structured analytical workplans.
• Advanced Excel skills (e.g., advanced formulas, pivot tables, basic data modeling, Macros/VBA); exposure to forecasting and scenario analysis preferred.
• Experience with at least one analytical or programming tool (e.g., R, Python, SQL, or a BI platform such as Power BI/Tableau) is a plus; willingness to learn these tools is essential.
• Strong attention to detail and comfort working with large or complex datasets, including data integrity checks and reconciliation.
• Clear written and verbal communication skills in English, with the ability to explain analytical approaches and results to non-technical stakeholders.
• Ability to work effectively in a fast-paced, collaborative environment supporting multiple projects and time zones.
• Ability to work in a hybrid setup, with 3 days per week from the Gurgaon office.

Arcesium seeks a highly motivated Treasury Margin Specialist to join our Technology team in Hyderabad / Bengaluru / Gurugram. The candidate will also cover initial stage client calls as an SME to explain Arcesium margin capabilities clearly and help Arcesium win new business with markets fund managers. The candidate should be willing to work in a dynamic and challenging environment of new client implementations into Arcesium platform and other special
projects.

What You'll Do: 

• Understanding the various margining methodologies cross asset and cross agreements and developing the internal view of margin.
• Develop portfolio financing margin models in Arcesium’s infrastructure.
• Managing stakeholders’ expectations; being proactive in identifying their needs, articulating the scope of the offering, escalating issues in a timely manner, and showcasing persuasiveness in bringing about changes
• Learn and enhance knowledge on complete Arcesium platform/industry, not restricted to current area of expertise.
• Perform various activities like data gathering, GAP analysis, Mapping, Data transformation, Loading and reconciliation, BAU activities setup, Client parallel support etc.… in Arcesium platform as a part of client implementation.
• Work with technology teams as needed, by assisting in special projects, developing bespoke reports, developing specifications, product implementation and UAT.

What You’ll need:

• 2 to 5 years of experience working in the Treasury (portfolio financing or counterparty credit risk in specific) coupled with in-depth domain / finance knowledge.
• Collateral management and financing agreements as well as margin methodologies
• Experience in market or counterparty credit risk to be able to analyze risk drivers of any securities portfolio.
• An understanding of data sources such as Reuters, Bloomberg, Markit etc, for Treasury related attributes
• Strong analytical skills, problem-solving skills, and attention to detail
• Proven track-record of handling projects and improving processes.
• Strong interpersonal skills with a collaborative attitude
• Effective oral/written communications skills
• Ability to work under pressure and take on additional operational tasks.
• Proficient in Microsoft Office applications especially MS Excel
• Hands on experience with VBA macros / Python will be a big plus.

Arcesium's Personal Data Privacy Notice for Candidates is linked here.

Position Summary

Arcesium seeks an experienced Data Scientist professional to join our Business Operations team within the Client and Partner Development (CPD) organization. The ideal candidate will be comfortable working across large volumes of varied datasets spanning pricing, headcount, market research, commercial performance, and translating that data into the models, frameworks, and insights that drive decision-making. Beyond building models and reporting on data, this person will be expected to draw principled conclusions from their analysis and present clear, strategic recommendations to senior leadership. You will also play an active role in identifying AI-driven solutions that improve how the team works and be a part of AI strategy for CPD. You will collaborate closely with global CPD teams across Sales & Partnership, Revenue Operations, Marketing, Forward Deployed, Account Management and Client Success, Service and Solutions teams to execute complex projects and help the organization scale through data-backed governance.

What you'll do:

• Identify relevant data sources and work with CPD stakeholders across functions to collect, analyze, and interpret large structured and unstructured datasets spanning domains such as pricing, headcount, market research, and operational metrics.
• Devise and apply algorithms and models to extract insight from large data stores. Conduct data and error analysis to improve model performance, and clean and validate data for uniformity and accuracy.
• Analyze data for trends and patterns with clear objectives in mind. Interpret outputs and draw principled conclusions rather than stopping at the analysis itself, ensuring findings inform real decisions.
• Implement analytical models and reporting frameworks end to end, from data ingestion through to leadership-ready outputs.
• Conduct what-if and scenario analyses and translate outputs into clear narratives that are actionable at the senior leadership level.
• Design and develop automation scripts and data pipelines to synthesize and structure data from diverse sources, applying critical thinking to move toward zero-touch processes and maximize end-to-end efficiency.
• Produce KPI dashboards and performance reports using historical data to surface trends and productivity insights for executive audiences, with a focus on telling the story behind the data.
• Act as the primary internal champion for responsible, practical AI use within CPD, educating stakeholders, setting best practices, and ensuring solutions are sustainable and governed.
• Develop reusable AI frameworks, prompt libraries, and automation components that scale adoption across the CPD organization and serve as a foundation for future capabilities.

What you'll need:

• Strong verbal and written communication skills, with the ability to present analytical findings clearly to senior leadership and stakeholders across functions.
• 4 to 7 years of experience in a data analytics or business operations role. Prior experience at a financial technology firm is a plus.
• Advanced proficiency in Excel including complex formulas and VBA Macro programming. Strong Excel fundamentals are a core expectation of this role.
• Proficiency in Python or similar scripting languages for data transformation, automation, and analysis.
• Working knowledge of SQL for querying and managing structured datasets.
• Experience with data visualization tools, particularly Power BI, to build dashboards and reports for executive and operational audiences.
• Experience with data mining and statistical analysis, including segmentation techniques and statistical packages for working with large datasets.
• Proven ability to conduct what-if and scenario analysis and communicate implications clearly to non-technical senior stakeholders.
• Experience tracking KPIs and relevant metrics for revenue organizations, aligned with broader organizational performance indicators.
• Demonstrated hands-on experience building AI-powered workflows, automation pipelines, or LLM-assisted tools in a business context.
• Genuine intellectual curiosity about AI and a track record of applying it to real operational problems.
• Ability to balance medium to long-term analytical projects alongside day-to-day operational responsibilities.

Arcesium's Personal Data Privacy Notice for Candidates is linked here.