Data Analyst

Job Title: Data AnalystAssignment Duration: 4-month, possible extensionHours: M-F 8am - 5pm EST or CST preferredLocation: RemoteWhy is this role open? (Coverage, looking for perm, etc.) To complete an ongoing projectPotential to convert to FTE, If so, what rate: Possible if headcount is availableOverview of Work Environment/Client Nuances:Potentially some interaction with the client so they will need to have excellent communication skillsTeam Overview:will work closely with H.M and team of data analystsResource's typical working day:Data managementMay do some vendor managementSome data presentationSome process improvementData mining to assist operations around lab equipment maintenanceSome vendor managementLicenses/Certifications : n/aMust Have Skills:Extreme attention to detailGreat with time management and has a sense of urgency to complete tasksExcellent communication skillsWill need to be able to "tell the story of the data"Nice to have skills:Experience with pharmaceutical equipment management is a huge plusYears of Experience: 4-7 yearsEducationBachelor's degree highly preferred, will accept experience in lieu of.Software skills:ExcelMicrosoft Office suitSmart sheetsInterview Process:1 round, virtual (Teams) with H.M.About the Role:As a client Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.What You'll Do:Coordinate data aggregation and curate reports using existing business intelligence and reporting applications.Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.Assist with developing data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights.Define basic data requirements and gather information using judgment and statistical tests.Use programming and evaluation tools, including open-source programs to plan models and extract insights.Apply modeling and optimization methods to improve business performance.Develop ad-hoc reporting based on the review of existing data sources.Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.Confirm the quality and integrity of existing data sources.Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.Have some knowledge of standard principles with limited practical experience in applying them.Lead by example and model behaviors that are consistent with client RISE values.Impact the quality of own work.Work within standardized procedures and practices to achieve objectives and meet deadlines.Exchange straightforward information, ask questions, and check for understanding.What You'll Need:Bachelor's Degree preferred with up to 3 years of relevant experience. In lieu of a degree, a combination of experience and education will be considered. MCSE and CNE Certification preferred.Ability to use existing procedures to solve standard problems.Experience with analyzing information and standard practices to make judgments.In-depth knowledge of Microsoft Office products. Examples include Word, Excel, Outlook, etc.Organizational skills with a strong inquisitive mindset.