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TAds Sr Analyst, Data

  • NEW YORK, NY, United States

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Job details

Posting language
English
Posted

Original job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!This role is essential for transforming business requirements into actionable data insights that support organizational decision-making processes. It involves analyzing complex data sets, managing data lifecycle activities, and producing reports to inform business strategies. The role requires collaboration with various stakeholders to ensure data accuracy and relevance while mentoring junior analysts. Success is measured by the quality and impact of data analysis, effective communication of findings, and contribution to data governance. The work directly influences business outcomes by providing data-driven recommendations and fostering data literacy across the organization.Analyze and interpret complex data sets to generate actionable insights that support business decision-making processes Collaborate with stakeholders to define data requirements, capture metadata, and prepare data for analysis ensuring accuracy and completeness Assess and monitor data quality by partnering with data stewards and quality leads to implement remediation and governance practices Provide guidance and mentorship to junior data analysts to develop skills and promote knowledge sharing within the team Design and maintain scalable data frameworks and technical documentation to support data architecture and standardization Also responsible for other duties/projects as assigned by business management as neededEducation LevelAcceptable Equivalent ExperienceBachelor's Degreeplus 5 years of related work experience OR Advanced degree with 3 years of related experience Experience: 4-7 yearsExperience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud.4-7 yearsExperience articulating and translating business questions and using statistical techniques to arrive at an answer using data4-7 yearsExperience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations4-7 yearsExperience working with relational databases using SQL4-7 yearsExperience with data visualization tools such as Power BI, Tableau etc.2-4 yearsExperience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka is a plus Skills: AtTaskBusiness InsightsBusiness Intelligence SoftwareBusiness Requirements AnalysisCollaborationDAX LanguageDashboard DevelopmentData AnalysisData IntegrationData IntegrityData LakeData ManagementData ModelingData OperationsData Quality AssessmentsData ScienceData VisualizationData Warehousing (DW)Data-Driven Decision MakingMaster DataMicrosoft Power Business Intelligence (BI)Python (Programming Language)Quality Assurance (QA)Reference DataSQL DatabasesTableau (Software)License/CertificationCertified Analytics Professional (CAP)SnowPro Advanced: Data AnalystCompTIA Data Analytics Plus certificationMicrosoft Certified: Power BI Data Analyst AssociateTotal Target Cash Earnings Opportunity: $102,695 - $205,390National Base Pay Range: $89,300 - $178,600The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

More about this job

Skills

  • Decision making
  • Negotiate with stakeholders
  • Normalise data
  • Documentation
  • Cleaning
  • Microsoft Azure
  • AWS
  • Data visualization
  • Microsoft Power BI
  • Tableau
  • Apache Hadoop
  • Apache Hive
  • Apache Spark
  • Apache Kafka
  • Warehouse operations
  • Business intelligence
  • Python
  • Quality assurance
  • Google Analytics
  • Data analysis

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