.Data Analyst @ Bedrock AnalyticsWe are seeking a talented data analyst to join our team. The category analyst will interact with syndicated, POS, panel, and e-commerce data. In addition, you will gain direct exposure to CPG leaders in sales, marketing, and analytics across our vast customer base. The main responsibilities of this role entail helping CPG customers structure their syndicated data, helping automate segmentation, setting up new customers with access to Bedrock, providing guidance on how best to pull data, and serving key customers with analytical consulting services. You should know how to build category reviews, new item presentations, and promo & pricing analyses. You will report to our director of customer operations within the customer success department.ResponsibilitiesCollaborate with the sales and software teams to translate customer requirements into data requirements that work on the Bedrock platform.Help customers create SPINS, IRI, or Nielsen syndicated data reports to be imported into the Bedrock web-based software platform for visualization & analyses.Maintain data integrity and maintenance of customer reports.Supervise our automated & assisted QA processes.Identify opportunities to improve the customer onboarding process.Develop relationships with fast-growing, disruptive consumer products companies, focusing on both the main contact as well as senior leadership.Assist Customer Success Managers & fellow category analysts with setup and onboarding new customers.QualificationsGeneral SkillsMulti-tasking is your superpowerStrong logic, deductive reasoning, problem-solving and critical thinking skillsAble to synthesize data & simplify findings to solve client business issuesProject management skills and ability to manage multiple prioritiesAble to work collaboratively with internal teams & external customersStrong sense of urgency and accountability to drive client outcomesAbility to learn new technical concepts quicklyTakes a high degree of ownership of workPassionate about technologyQuality Control – Strong analytical aptitude and highest attention to detailOpen mind to learn new software and skillsPersonable & cool under pressureExtremely proficient with Excel & PowerPointHighly detailed orientedMust deal well with uncertaintyBackground and Technical SkillsBachelor's degree preferred1-4 years experienceAdvanced Excel skills, (Macros, pivot tables, complex formulas).General knowledge of Python, R, KnimeExperience in the management and transformation of complex and heavy databases.Experience with syndicated data (SPINS, IRI, Nielsen) Not mandatoryExpert proficiency in retail analytics