Business Analyst II

3 Months ago • 1-2 Years

Job Description

This Business Analyst II role is a permanent work-from-home opportunity. The Business Analyst will transform data into actionable insights using Python, SQL, and data analysis. Responsibilities include collaborating with stakeholders to gather requirements, writing SQL queries, using Python for data processing and analytics, identifying process improvements, and ensuring data quality. The ideal candidate will be expected to effectively communicate findings to both technical and non-technical audiences.
Good To Have:
  • Background in Petroleum, Chemical, or related fields.
  • Experience with data visualization tools (e.g., Power BI, Tableau).
  • Exposure to data warehousing concepts and tools.
Must Have:
  • Experience in data analytics or business analysis (1-2 years).
  • Proficiency in Python (e.g., Pandas, Numpy).
  • Proficient in SQL, including complex queries.
  • Strong analytical thinking and problem-solving.
  • Excellent verbal and written communication skills.

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Description

PERMANENT WORK FROM HOME OPPORTUNITY!!!
 
Role Overview: 
We are looking for a Business Analyst II with a solid foundation in Python, SQL, and data analysis. This role is ideal for candidates who are passionate about turning data into insights and have 1–2 years of hands-on experience in analytics. You will work closely with cross-functional teams to support data-driven decision-making, optimize processes, and deliver actionable business insights. 
Key Responsibilities: 
  • Collaborate with business stakeholders to gather, document, and analyze requirements 
  • Write efficient SQL queries to extract and manipulate data for reporting and analysis 
  • Use Python for data processing, automation, and advanced analytics (e.g., statistical analysis, modeling) 
  • Identify business process improvements and support automation initiatives using data insights 
  • Ensure data quality through validation and QA processes 
  • Clearly communicate findings to both technical and non-technical audiences 
  
Required Skills & Qualifications: 
  • Bachelor’s degree in science, Technology, Engineering, or a related field 
  • 1–2 years of experience in data analytics or business analysis 
  • Intermediate proficiency in Python (e.g., Pandas, Numpy, Matplotlib, Plotly, Scikit-Learn, Requests, BeautifulSoup, Selenium, openpyxl, rapidfuzz) 
  • Proficient in SQL, including writing complex queries and performance optimization 
  • Strong analytical thinking and problem-solving ability 
  • Excellent verbal and written communication skills 
  
Preferred / Nice-to-Have: 
  • Background in branches such as Petroleum, Chemical, or similar disciplines 
  • Experience with data visualization tools (e.g., Power BI, Tableau) 

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