Data Analyst

Duration: 12 monthsResponsibilitiesCollaboration with data SMEs, data owners, and other team members to understand data requirementsIdentify and evaluate potential data sourcesEvaluate and document the data in terms of Volume, Velocity, Variety, Veracity and Value Write scripts to extract, transform, and analysis data from various sourcesAnalysis and attest to the data’s ability to support various metricsDocument requirements for new data source or data source enhancementsPartner with the database team to on-board new data following Technology standards and proceduresGuide the visualization team in the usage of the data for development of metricsFollow the company’s Software Development Life Cycle (SDLC) policies as requiredCreate required documentation to evidence the processRequirementsAt least 5 years of writing Python scripts to analysis data including extensive knowledge of Pandas, RE, Lambda, and NumPyStrong SQL SkillsAt least 5 years of proven track record data analysisAt least 5 years of experience working with database and reporting teamsBasic understanding of Technology controlsBasic understanding of Technology risksIntermediate Excel skills including string manipulate functions, vlookups, and Pivot tablesStrong communication and organization skillsProject Management experienceExperience with using AI tools such as Claude and Copilot to assist with data analysis and data validationPreferredKnowledge of DevOps tools and conceptsExperience with GitHub and code deploymentAdaptable to learning new technologies and working in a dynamic environmentAbility to work in a dynamic, fast paced environment with limited direction where the individual actively with competing prioritiesAdvanced SQL SkillsExperience with Snowflake