Business Intelligence Engineer

1 - 4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Primary Job Functions

  • Collaborate directly with the business teams to understand performance drivers and trends in their area, provide insights, make recommendations and interpret new data and results.
  • Design reports and dashboards for consumption by the business; oversee the development for production.
  • Perform pro forma modeling and ad hoc analyses.
  • Keep up to date on the best visualization practices and dashboard designs.
  • Maintain standardized templates for reports and dashboards.
  • Ensure standardization and consistency of reporting.
  • Perform deep dive analyses into specific issues as needed.
  • Define data needs and sources; evaluate data quality and work with data services team to extract, transform and load data for analytic discovery projects.
  • Ensure BI tools are fully leveraged to provide the insights needed to drive performance. Interface closely with technology partners to manage analytical environment and acquire data sets.
  • Utilize statistical and data visualization packages to develop innovative approaches to complex business problems.
  • Analyze and communicate the effectiveness of new initiatives; draw insights and make performance improvement recommendations based upon the data sources.
  • Use quantitative and qualitative methodologies to draw insights and support the continuous improvement of the business.
  • Analyze initiatives and events utilizing transaction-level data.
  • Ensure that appropriate data-driven reports and customer behavior insight continuously flow to management to help improve quality, reduce cost, enhance the guest experience, and deliver continued growth.


Required Qualifications


  • Overall 1-4 years of experience and proficient in working in Microsoft Azure services and/or other cloud computing environment
  • Experience with Database Management Systems (DBMS), specifically SQL and NoSQL.
  • Knowledge of an enterprise data visualization platform, such as Power BI, Big Query
  • Advanced analytical and problem-solving skills

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