REGISTRIEREN

Jobbörse

Finde Jobs in deiner Nähe – ob vor Ort, hybrid oder remote.
  • Ähnliche Jobs zu: Performance Analytics Analyst
XX
Performance Analytics AnalystØrsted • Austin, Texas, United States
Jetzt Bewerben
XX

Performance Analytics Analyst

Ørsted
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Jetzt Bewerben

Über

Join us in this role where you’ll support the analysis and optimization of our US onshore portfolio by developing data-driven insights, building performance models, and enabling better decision-making across wind, solar, and storage assets.
Welcome to Performance Analytics You’ll be part of the Performance Analytics team where, together with your colleagues, you’ll analyze asset performance and develop tools that support performance improvements across our renewable fleet. You’ll collaborate with site representatives, asset managers, engineers, and cross-functional teams to ensure high-quality data driven decisions and insights across the business. As a team, we work closely, share knowledge openly, and support each other in solving complex data challenges that drive real impact.
Responsibilities
building and maintaining dashboards, reports, and visualizations to communicate asset performance insights
developing data models, metrics, and indices to identify performance improvement opportunities
managing and optimizing data pipelines across platforms such as Azure, APIs, and internal systems
ensuring data quality and integrity across SCADA data and other operational data platforms
supporting stakeholders with analysis, anomaly detection, and performance-related insights
collaborating with internal and external stakeholders to deliver data-driven solutions and reporting
Qualifications
have a degree in engineering, data science, mathematics, business, or equivalent experience
are experienced in data analysis using tools such as Python, R, SQL or Databricks
are confident working with data visualization tools such as Power BI or Tableau
can understand and work with complex data structures and operational datasets
communicate insights clearly and effectively to both technical and non-technical stakeholders
are structured, proactive, and motivated to deliver high-quality analytical solutions
Maybe you’ve read the above and can see you have some transferable skills, even though they don’t quite match all the points. If you think you can bring something to the team, we still encourage you to apply.
As an applicant or employee, you may request reasonable work and position accommodation or adjustments via accommodation@orsted.com.
Position Salary Range The salary range for this position is USD $92,000.00 to USD $115,775.00.
Our salary ranges are based on position level and reflect the cost of labor across multiple U.S geographic markets. Individual pay within the range is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can provide more details about the applicable salary range during the hiring process.
Variable Compensation Our total rewards package may include discretionary short-term and long-term incentive opportunities based on your pay band and performance. These may be changed or suspended based on the sole discretion of the company.
Benefits Package
fully paid premium for family insurance coverage for health, life, dental, and vision
flexible spending accounts
health savings accounts
short- and long-term disability insurance
an Employee Assistance Program
18 weeks or an hourly equivalent of parental leave with an additional short-term disability benefit of 6-8 weeks or an hourly equivalent for the birthing parent
a 401(k) retirement savings plan with up to 5 % employer match
commuting benefits
7 paid sick days per year
20 paid time-off days
13 annual paid holidays
16 hours of volunteer time-off
a monthly book benefit from Amazon of up to USD 25
#J-18808-Ljbffr
  • Austin, Texas, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.