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Business Intel Engineer II, TERA

Location Hyderabad, India
Posted 02-July-2022
Description
As a Business Intelligence Engineer, you will be eager to dive deep into data analytics, provide training to investigators and specialists on data analytics tools and technology, set up data infrastructure for working with data, and create dashboards. You will have a relentless focus on the customers and dive deep into the challenges they face. Youll also leverage machine learning and statistical techniques for advanced use cases.

This role requires an individual who can take ownership, has excellent analytical abilities, deep knowledge of business intelligence solutions, and the ability to work with technology, product development, finance, and business teams. Ideal candidate must have excellent organizational and prioritization skills with the ability to handle multiple tasks simultaneously.

Major responsibilities:


Partner with stakeholders to gather requirements and integrate necessary data sources to support business analysis and reporting
Act as a business and technical resource for the Travel & Expense Reimbursement fraud team and provide direction to business on technical issues associated with business problems and/or projects
Design new data models, pipelines, and highly available self-service reporting tools
Continually improve recurring reporting and analysis processes via re-architecture or automated solutions
Recognize and adopt best practices for building a scalable business intelligence platform
Apply analytics and data mining techniques to solve complex problems, drive business decisions and identify major gaps and opportunities
Assess trends, analyzes data and proposes hypotheses to identify potential fraud patterns and financial abuse
Assists the business stakeholders in identifying and implementing new operation controls as appropriate
Collaborates with the business to research, develop and test new fraud detection and prevention rules
Provide inputs for Finance Automation to build mechanisms to detect expense fraud
Coordinate with different team members to conduct deep dives walk-throughs and quality reviews of evidence to resolve complex problems


BASIC QUALIFICATIONS

3years of professional experience in data analytics or business intelligence space
Undergraduate degree in Math, Computer Science, Engineering, Data Engineering, Data Science or a related field.
Experience in data mining using SQL, ETL, data warehouse as well as Excel
Proven experience with BI data tools such as Power BI, Tableau, Qlik, Quicksight, Cognos
Coding proficiency in at least one modern programming language (Python, Ruby, Java, Pyspark, etc.)


PREFERRED QUALIFICATIONS

Proficiency in communicating technical information effectively to both less and more technical audiences.
Lead and influence vision across different organizations and align diverse teams to a common goal
Scripting and statistical modeling experience in Python, R, or SAS
Experience working with Redshift database
Lean / Six Sigma concepts and certification is a plus.
Prior experience in Accounts Payable, Risk, Controllership work areas.
Relevant experience in fraud analytics, forensic data analysis, risk management, loss prevention or a related domain, a plus.
Experience in AWS or other cloud services.


Job details

IN, TS, Hyderabad


Finance Operations


Finance and Accounting
Experience
Min 3 to 6 Years.

 
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