
Data Analytics Analyst
Emerson
full-time
Posted on:
Location Type: Hybrid
Location: Austin • Texas • United States
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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