Performance Analyst (SC)
Stealth IT Consulting
- Industry Type
- Engineering Design, Consulting
- Functional Area
- Engineering
- Nationality
- Any
- Keywords
- Performance Analysis Data Analysis Business Intelligence Tools Tableau Key Performance Indicator KPI Framework Creation Performance Measurement S
Job Description
Stealth IT Consulting in London is seeking a Performance Analyst with experience in government, public sector, or regulated environments. The role involves analyzing complex datasets and creating KPI frameworks and performance measurement strategies using BI tools like Tableau.
- Position
- Performance Analyst (SC)
- Company
- Stealth IT Consulting
- Location
- London, United Kingdom
- Industry
- Engineering Design, Consulting
- Experience
- 1 to 20 years
Requirements
- Experience as a Performance Analyst in government, public sector, or highly regulated environments.
- Ability to analyze complex datasets and translate findings into actionable insights using BI tools such as Tableau or equivalent.
- Experience in creating KPI frameworks and performance measurement strategies.
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About the role: Performance Analyst (SC)
General information about this type of role, not from the employer. The employer's actual requirements may differ, so always check the job details above.
Performance Analysts in engineering design and consulting focus on evaluating and improving the efficiency and effectiveness of systems and processes. They typically work in offices or project sites, collaborating with engineers and project managers to analyze data and support decision-making.
What this role usually involves
- Collect and analyze performance data related to engineering projects.
- Develop reports and presentations to communicate findings to stakeholders.
- Identify areas for process improvement and recommend solutions.
- Collaborate with engineering teams to implement performance enhancements.
- Monitor project progress and ensure alignment with performance goals.
Skills employers usually look for
- Strong analytical and problem-solving abilities.
- Proficiency in data analysis tools and software.
- Good communication and presentation skills.
- Attention to detail and accuracy.
- Ability to work collaboratively in a team environment.
Usual qualifications
- A diploma or degree in engineering, statistics, or a related field is usually expected.
- Knowledge of performance measurement techniques and tools.
- Familiarity with engineering project management concepts.
- Basic understanding of data visualization methods.
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