Emerson

Data Analytics Analyst

Emerson

full-time

Posted on:

Location Type: Hybrid

Location: AustinTexasUnited States

Visit company website

Explore more

AI Apply
Apply

Job Level

About the role

  • Build effective partnerships with key stakeholders across Global Sales & Marketing, Regional Leadership, Commercial Strategy, Global/Regional Operations, IT, and the Data Office.
  • Partner with business leaders and subject matter experts to identify, evaluate, and implement actionable business performance measures globally and regionally
  • Act as a thought leader by proactively proposing analytics approaches, frameworks, and techniques that accelerate commercial insight and growth
  • Translate business questions into analytical frameworks, data requirements, and executive-ready insights and recommendations
  • Leverage modern cloud tools to develop scalable datasets and optimized models that support reporting, analysis, forecasting, and advanced analytics
  • Collaborate with IT, the Data Office, and other internal analytics teams on transformational data modernization project. The scope covers migration to Snowflake & Power BI and will include data model transformation, testing and validation, documentation, and change management.
  • Perform data engineering tasks including data profiling, transformation, modeling, and optimization across a modern enterprise cloud data platform
  • Develop optimized insight solutions; design, develop, test, and maintain dashboards and data products using Power BI, Tableau, and Salesforce CRMA Analytics
  • Apply AI, ML, and generative analytics techniques to enhance workflows and accelerate insight generation
  • Implement data quality checks, validation processes, and documentation standards to ensure trusted, repeatable insights
  • Contribute to governance efforts including metadata, lineage, data standards, and analytics DevOps practices
  • Mentor and coach junior analysts on technical skills, analytical techniques, and stakeholder engagement
  • Establish, refine, and develop best practices for analysis, dashboard development, and data storytelling
  • Ensure all analytics outputs are accurate, reliable, secure, and closely aligned to business objectives

Requirements

  • Bachelor’s Degree in Mathematics, Statistics, Computer Science, MIS, Business, or related field; advanced degree a plus
  • 8+ years of experience in analytics, data engineering, reporting, or business intelligence, ideally in global B2B environments
  • High proficiency in business intelligence & visualization tools such as Power BI, Tableau, and Salesforce CRM Analytics (CRMA), with strong preference for Power BI and experience migrating Tableau assets into Power BI
  • Strong SQL expertise and experience with relational databases; ability to write efficient, production-ready queries
  • Experience using analytical concepts and statistical techniques: hypothesis development, test design, data analysis, and delivering clear recommendations aligned to business outcomes
  • Experience with database and programming tools such as Snowflake, dbt, and Qubole (Hive/Spark/Presto); Python and R are a plus
  • Data modeling experience (star schema, semantic layers, ELT) and familiarity with designing scalable analytical datasets
  • Exposure to modern analytics DevOps practices (Git-based version control, CI/CD pipelines, automated testing) and ability to help govern analytics DevOps direction in partnership with IT and Data Office
  • Experience supporting data platform migration efforts, including testing, validation, and documentation
  • Strong ability to manage multiple priorities, set expectations, and consistently deliver high-quality work under deadlines
  • Data storytelling expertise with ability to explain technical concepts to non-technical audiences
  • Experience uplifting analytics maturity, coaching peers, and contributing to team standards and best practices
  • Demonstrated ability to build effective partnerships with cross-functional stakeholders and act as a thought leader in applying analytics to commercial challenges
  • Legal authorization to work in the US - visa sponsorship will not be provided
Benefits
  • We provide a variety of medical insurance plans, with dental and vision coverage
  • Employee Assistance Program
  • 401(k)
  • tuition reimbursement
  • employee resource groups
  • recognition
  • flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data engineeringdata modelingSQLhypothesis developmenttest designdata analysisdata profilingdata transformationdata optimizationAI
Soft Skills
stakeholder engagementmentoringcoachingtime managementcommunicationcollaborationthought leadershipproblem solvingadaptabilitydata storytelling