Job Description

Overview:

This is a new role which will be supporting FP&A Global Predictive program. Data Analyst will be responsible to partner with business and IT teams in preparing final analysis reports for the stakeholdersto understand the data analysis steps, enabling them to make important decisions based on various facts and trends and lead data requirements, source analysis, data analysis, data transformationand reconciliation activities.


Responsibilities:

• Lead data requirement, source analysis, data analysis , data transformation and data reconciliation activities. (This is KEY)
• Partner closely with business and IT teams to drive conversations and remove any roadblocks.
• Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to make important decisions based on various facts and trends.
• Using automated tools to extract data from primary and secondary sources.
• Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.
• Working with engineers, and business teams to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
• Proactively identifies impediments and looks for pragmatic and constructive solutions to mitigate risk.
• Be a champion for continuous improvement and drive efficiency.




Qualifications:
Year of Experience • Bachelor's degree in computer science, Engineering, Mathematics, or Statistics.
• 4+ Years of proven track record as a Data Engineer or in a similar role.

Technical Skills

• Over 2-3 years of hands-on experience with cloud platforms such as Data Bricks and Azure Data Flow (ADF).
• Over 2+ years of proficient experience in Py Spark and Python programming.
• Advanced proficiency in SQL with practical experience working on relational databases and familiarity with various database systems
• Having knowledge on TM1 would be added advantage