Data Analyst (Financial Planning and Analysis) - US
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
Tiger Analytics team is looking for a skilled and experienced Data Analyst with over 4-5 years of hands-on experience in data analysis & data profiling in project, business requirements definition, or data engineering in CPG or Manufacturing Industry.
Job Duties:
• Discover, analyze, and scope data requirements & represent them in conceptual and logical data models. Ability to clearly document and communicate requirements to data engineers.
• Gather and analyze data on various business processes such as financial planning and budgeting, forecasts, Topline, OPEX, and COGS.
• Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis
• Responsible for improving the quality of data with defined expectations
• Perform system data analysis to identify patterns, exceptions, and erroneous data.
Requirements
• Bachelor's or Master's degree in Computer Science, Analytics, or a related field, or equivalent skills and experience
• 4+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry. Profiling experience in SQL; Python/Pyspark is a plus
• 3+ years’ work experience in the areas of Financial Planning and Analysis. Have working experience with Master Data (Product, Customer, Location etc).
• 2+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to inform data model build out.
• Familiarity with SAP data, IBM Planning Analytics tool is a plus
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Apply Now
Tiger Analytics team is looking for a skilled and experienced Data Analyst with over 4-5 years of hands-on experience in data analysis & data profiling in project, business requirements definition, or data engineering in CPG or Manufacturing Industry.
Job Duties:
• Discover, analyze, and scope data requirements & represent them in conceptual and logical data models. Ability to clearly document and communicate requirements to data engineers.
• Gather and analyze data on various business processes such as financial planning and budgeting, forecasts, Topline, OPEX, and COGS.
• Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis
• Responsible for improving the quality of data with defined expectations
• Perform system data analysis to identify patterns, exceptions, and erroneous data.
Requirements
• Bachelor's or Master's degree in Computer Science, Analytics, or a related field, or equivalent skills and experience
• 4+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry. Profiling experience in SQL; Python/Pyspark is a plus
• 3+ years’ work experience in the areas of Financial Planning and Analysis. Have working experience with Master Data (Product, Customer, Location etc).
• 2+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to inform data model build out.
• Familiarity with SAP data, IBM Planning Analytics tool is a plus
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Apply Now