Energy Market Risk Data Analyst
Intersect
CloudETLPythonSDLCSQL
HR Data Analyst
Switzerland Global Enterprise
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PythonTableau
About the role
- Translate data analyses into visualizations and actionable insights for high-priority topics such as Safety, Talent, Total Rewards and more.
- Contribute to one-time analyses, special projects, and initiatives for the HR Reporting & Analytics COE.
- Partner with the COE leader and other HR leaders on designing data research, defining hypotheses, aggregating data, and running multiple statistical models.
- Collaborate with contacts within the businesses to facilitate best practice sharing, trouble shooting, and needs analysis.
- Experiment and think creatively to troubleshoot and/or find the right solution.
- Drive to understand the need or problem to solve.
- Connect with colleagues in HR, DT, Finance, and other domains to resolve data and data source issues.
- Ensure high standards of accuracy and quality are maintained.
Requirements
- Bachelor’s Degree (accredited), or in lieu of degree, High School Diploma or GED (accredited) and significant years of relevant work experience with exposure to HR reporting and analytics, technology and/or operations.
- Hands on experience in quantitative data validation, analysis and interpretation with multinational companies or large corporations at corporate/regional/global level – including Workday and Tableau.
- Ability to gather and visualize data from a variety of sources.
- Demonstrated ability to analyze and resolve issues.
- Looks for ways to standardize, simplify and drive efficiency.
- Ability to make independent decisions and manage conflicting priorities.
- Collaborates effectively with others through influencing, coaching, and/or coordinating within and beyond own team.
- Knowledge and experience on protecting sensitive data.
- Experience with tools and languages such as Python, R, Tableau, and in the design and implementation of data pipelines that support the continuous delivery of insights.
Benefits
- Relocation Assistance Provided: No
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisdata visualizationstatistical modelingquantitative data validationdata interpretationdata pipeline designdata aggregationdata researchdata troubleshootingdata source resolution
Soft skills
problem solvingcreativitycollaborationinfluencingcoachingdecision makingprioritizationstandardizationefficiency improvementcommunication
