Job Description
Job Description
Requirements
Bachelor’s degree in Business Administration, Economics, Statistics, Finance, or a related field. 2–5 years of relevant work experience in data analysis, business analytics, or a similar role. Proficiency in Microsoft Excel (advanced functions, pivot tables, VLOOKUP, macros). Experience with data visualization tools such as Power BI, Tableau, or Google Data Studio. Strong understanding of statistical concepts and data interpretation. Excellent analytical, problem-solving, and critical thinking skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Strong written and verbal communication skills with the ability to translate complex data into clear, actionable insights. Familiarity with SQL for data querying and extraction is a plus. Willingness to learn and adapt to new tools, processes, and business challenges.
- Well-versed in inspection and QA of structural components, pressure parts, and electrical & instrumentation items, with strong expertise in NDT, welding, RCA, and compliance with IS/ASME/AWS/IEC standards and statutory codes.
- Experienced in vendor development, joint audits, inspection planning, and quality documentation standardization.
Requirements
- Proven experience in inspection and QA of structural, pressure, and electrical & instrumentation components.
- In-depth knowledge of NDT methods, welding standards, and root cause analysis (RCA).
- Strong understanding of IS, ASME, AWS, IEC, and statutory compliance requirements.
- Experience in vendor development, joint audits, and quality documentation standardization.
- Ability to work independently and collaboratively across multidisciplinary teams.
- ${requir
Requirements
Bachelor’s degree in Business Administration, Economics, Statistics, Finance, or a related field. 2–5 years of relevant work experience in data analysis, business analytics, or a similar role. Proficiency in Microsoft Excel (advanced functions, pivot tables, VLOOKUP, macros). Experience with data visualization tools such as Power BI, Tableau, or Google Data Studio. Strong understanding of statistical concepts and data interpretation. Excellent analytical, problem-solving, and critical thinking skills. Ability to work independently and manage multiple priorities in a fast-paced environment. Strong written and verbal communication skills with the ability to translate complex data into clear, actionable insights. Familiarity with SQL for data querying and extraction is a plus. Willingness to learn and adapt to new tools, processes, and business challenges.
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