Job Description

We are looking for a data analyst who would be able to Identify and prioritize business requirements scope and also Write, interpret, and optimize complex queries across disparate data sources using SQL

In your new role you will:


Identify and prioritize business requirements scope Write, interpret, and optimize complex queries across disparate data sources using SQL Collaborate with stakeholders to know the business problem and design data solutions that provide insight, including building dashboards, presentations and adhoc recommendations Perform technical data analysis and create datasets that describe business questions/processes Analyze operational metrics and Key Performance Indicators (KPIs),trend to identify cause-and-effect relationships between key business drivers Develop case and articulate potential impact of the solution to the business providing clarification of the enabling solutions and reports Perform statistical analysis on various data sets to deriveactionable insights to improve business Manage data synchronization and transfer of internal databases Translating data into useful insights to drive and solve criticalbusiness and inform operational decisions. Ensure data integrity for reporting Work closely with data engineers and develop skills to build datapipelines for analysis Automate and improve data quality and bring productivity to workflowsrelated to data Build reports and dashboards to efficiently provide visibility on key metrics

Your Profile

You are best equipped for this task if you have:


Degree/master's in computer science, Mathematics or Statistics major Relevant applied work experience in quantitative analysis of at least 5-8 years Ability to work with large amounts of data from disparate sources: collecting, consolidating, analyzing, and synthesizing Strong problem-solving skills Hands-on experience and in-depth technical knowledge of SQL programming Hands-on experience with a self-serve BI tool (preferably using Tableau) Experience with extracting and modeling datasets with database queries and environment (Hadoop/Spark) Experience with programming languages (e.g. PySpark mandatory,Python, Java) Experience in managing agile implementation cycles and rollouts Self-motivated, proactive, get-things-done team member who lives to improve data quality and drive results

Contact:

Pooja.AnandaChowta@infineon.com

#WeAreIn for driving decarbonization and digitalization.

As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.

Are you in?

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