Data Analyst-Finance

Data Analyst-FinanceDescription -Applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Exercises independent judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to make decisions on complex business issues.ResponsibilitiesParticipates as a member of team of other data science engineers carrying out the investigation, design, development, execution, and implementation of data science projects to generate new insights, products, technologies, and intellectual property.Creates plans, data collection and analysis procedures and data insight visualizations for assigned projects.Collaborates with internal and external partners to perform experiments and validations in accordance with overall plan.Collaborates with SMEs to develop procedures for collecting, recording, analyzing, and communicating data for review and feedback.Prepares literature and presentations for peer review, publication, and delivery at industry and scientific events and conferences; creates patent applications and supporting documentation.Provides guidance and mentoring to less- experienced staff members.Knowledge & SkillsUsing scientific design and data collection methodologies, tools and analysis packages to collect, validate, and analyze research data.Strong analytical and problem-solving skills.Application and implementation of experimental design, scientific procedures and processes, and data analysis.Excellent written and verbal communication skills; mastery in English and local language.Ability to effectively communicate research plans, proposals, and results, and negotiate options at management levels.Scope & ImpactCollaborates with peers, junior data scientists and engineers, SMEs and external and internal research and product development partners.Typically interacts with high-level Individual Contributors, Managers and Program Core Teams.Participates in projects requiring data science engineering.Education & ExperienceBachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Computer Science, or equivalent.Typically 4-6 years’ experience including graduate or postgraduate research.Job -SoftwareSchedule -Full timeShift -No shift premium (India)Travel -Relocation -EEO Tagline - HP Inc. is EEO F/M/Protected Veteran/ Individual with Disabilities.