Overview
On Site
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2
Contract - 14+ mo(s)
Skills
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Job Details
Title: Data Analyst III
Location: Fort Worth, TX
Duration: 12+ Months
Pay Rate: $70/Hr to $75/Hr (DOE)
Summary
Our Client s Site Operations team is seeking an Operations Data Analyst to help drive operational excellence by analyzing capacity, uptime, and performance across our data centers. This role is critical for enabling leadership to make informed decisions, optimize strategies, and ensure our infrastructure is running at peak efficiency. You ll work closely with operations, engineering, and data science partners to deliver actionable insights, maintain reporting code, and develop dashboards that support our core KPIs.
Responsibilities
Analyze operational data to assess capacity availability, uptime and operational efficiency.
Generate and maintain weekly reports tracking team performance against core KPIs Clean, transform, and analyze data, often using proxy and regression analysis to address incomplete datasets Maintain and test code that produces reports and manages underlying data structures; integrate new data sources as needed Develop and enhance dashboards in collaboration with field teams and data scientists.
Conduct predictive analytics to anticipate operational trends and risks on ad hoc basis Produce reports and whitepapers with actionable recommendations for leadership.
Provide data supplied narratives that are connected to the business, determining what is important and its impact to the business/operation.
Must-Have Skills
3+ years in data analysis, operations analytics, or a related field
Proficiency in SQL for data extraction and analysis Proven experience in data analysis, including cleaning, transforming, and interpreting complex datasets Significant experience with data visualization tools and leveraging data driven models to drive business decisions.
Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions and reporting results across various stakeholder groups (including executive level).
Intellectual curiosity and initiative in identifying hypotheses and driving continuous improvement Collaborative, team-oriented mindset
Location: Fort Worth, TX
Duration: 12+ Months
Pay Rate: $70/Hr to $75/Hr (DOE)
Summary
Our Client s Site Operations team is seeking an Operations Data Analyst to help drive operational excellence by analyzing capacity, uptime, and performance across our data centers. This role is critical for enabling leadership to make informed decisions, optimize strategies, and ensure our infrastructure is running at peak efficiency. You ll work closely with operations, engineering, and data science partners to deliver actionable insights, maintain reporting code, and develop dashboards that support our core KPIs.
Responsibilities
Analyze operational data to assess capacity availability, uptime and operational efficiency.
Generate and maintain weekly reports tracking team performance against core KPIs Clean, transform, and analyze data, often using proxy and regression analysis to address incomplete datasets Maintain and test code that produces reports and manages underlying data structures; integrate new data sources as needed Develop and enhance dashboards in collaboration with field teams and data scientists.
Conduct predictive analytics to anticipate operational trends and risks on ad hoc basis Produce reports and whitepapers with actionable recommendations for leadership.
Provide data supplied narratives that are connected to the business, determining what is important and its impact to the business/operation.
Must-Have Skills
3+ years in data analysis, operations analytics, or a related field
Proficiency in SQL for data extraction and analysis Proven experience in data analysis, including cleaning, transforming, and interpreting complex datasets Significant experience with data visualization tools and leveraging data driven models to drive business decisions.
Hands-on experience analyzing and interpreting data, drawing conclusions, defining recommended actions and reporting results across various stakeholder groups (including executive level).
Intellectual curiosity and initiative in identifying hypotheses and driving continuous improvement Collaborative, team-oriented mindset
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