31 Oct
|
TEOCO
|
Bengaluru
TEOCO's Bangalore Audit Services team is seeking a smart, self-motivated, and analytical candidate for the position of Data Engineer . This is an excellent opportunity to gain exposure to the telecommunications industry while developing programming, data analytics, and automation skills.
The candidate will develop and maintain automated audit programs to identify potential telecom billing disputes, cost-saving opportunities, and data anomalies requiring further investigation. The role involves working with programming and analytics tools such as R, Python, KNIME, Strategy, SQL, and AI-powered tools, including Claude. The candidate may also execute or modify existing LLM and Alteryx workflows and contribute to the development of bots to automate research and other tasks.
The role requires an understanding of various databases and data tables, including invoice data (BTOD), client-specific inventory and ordering data, vendor contract data, and industry databases such as NECA and LERG. Training will be provided where necessary.
This is a hybrid role combining office-based and work from home. Occasional flexibility to work later hours on remote days may be required to attend meetings with US-based users and counterparts.
Develop and maintain automated audit programs to identify potential telecom billing disputes, cost-saving opportunities, and data anomalies.
Use programming and analytics tools, including R, Python, KNIME, Strategy, and SQL, to analyze telecom spend and billing data.
Work with multiple data sources, including invoice, inventory, ordering, contract, and industry databases.
Execute, modify, and optimize existing LLM and Alteryx workflows as required.
Investigate identified anomalies and generate outputs to support further audit and dispute analysis.
Develop an understanding of telecom products, billing concepts, and relevant industry databases.
Ensure accuracy, quality, and reliability of audit programs and analytical outputs.
Bachelor's degree, preferably in Finance, Economics, Mathematics, Computer Science, Business/Data Analytics, Information Systems, Statistics, or a related field.
R, Python, or KNIME.
Prior experience with SQL and Microsoft Office, particularly Excel.
Prior experience or exposure to the telecommunications industry.
Familiarity with Claude, Alteryx, LLM tools, or AI-driven automation.
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