Sr. Business Intelligence Engineer

Sr. Business Intelligence Engineer

  • Total Experience : 5 to 8 Years
  • No of Openings : 1
  • Type : On site
  • Location : NOIDA [INDIA]
  • Job Post Date : 16/01/2025

About the Job

The Senior Business Intelligence Engineer will be a key member of the team driving data-driven decision-making and continuous improvement for the Consumer/Retail division at Cox Automotive. This role will provide data and insights to support sales strategies, develop BI solutions, and influence the growth of strategic accounts through data analysis of platform activities. You will collaborate with business users, data engineers, and cross-functional teams to understand requirements and deliver insights that inform business decisions and drive growth and efficiency.

Education Requirements

  • Bachelor’s degree in a related discipline.

Skills Requirements

  • Strong team building skills with demonstrated problem-solving abilities.
  • Self-directed, driven, and enthusiastic.
  • Excellent written and verbal communication skills.
  • Desired to have Automotive experience and understanding of Dealer and Consumer Metrics and Analytics.
  • Strong analytical mindset – masterful with Excel and experienced in analyzing performance and sales data to draw conclusions and make recommendations.

Experience Requirements

  • Experience in solving business problems using advanced quantitative methods or statistical models (clustering, regression, ANOVA, etc.) preferred.
  • Must have working experience using Power BI or Tableau.
  • Expertise in writing SQL queries from scratch or altering existing code.

Preferred:

  • Experience with Snowflake is a plus.
  • 4+ years of performing analysis and building data processes preferred experience with the Automotive industry highly desired.

Role & Responsibilities

Report/Dashboard Design and Development  

  • Design and develop intuitive, visually appealing dashboards and reports that meet business needs.
  • Define and implement best practices in data visualization and stay abreast of industry trends while optimizing reporting solutions and processes.
  • Play a critical role in data literacy, which performs an ability to explore, understand, and communicate with data meaningfully to various stakeholders across the Sales organization.
  • Develop and maintain BI solutions based on Microsoft Power BI and Power Platform, such as Automate, to enable data availability and meet stakeholders’ requirements.

Data Gathering, Integration and Validation    

  • Collect and integrate data from multiple sources, ensuring quality, completeness, and consistency.
  • Perform data transformations and modeling to prepare data for reporting and analysis.
  • Work with internal and external data providers on data validation, providing feedback, and making customized changes to data feeds and mappings.

 Metric and Ad-Hoc Solutions  

  • Define key performance indicators (KPIs) or OKRs for reporting and dashboard aligning with organization goals.
  • Innovate metrics and leverage advanced analytics techniques to provide in-depth analyses.
  • Support ad-hoc data analysis and customized reporting requests from business stakeholders, delivering timely insights and recommendations.
  • Perform trend analysis and advanced data analytics techniques to support the initiatives.

 Project Management   

  • Understand the organization’s day-to-day work and partner with them to design viable data solutions.
  • Recommend improvements to processes, technology, and interfaces that improve the team’s effectiveness and reduce technical debt.
  • Effectively communicate with cross-functional teams for projects and task planning and be able to manage projects independently, including timelines, customer interaction, requirements, and others.   

Documentation and Continuous Improvement

  • Document the development process, including data sources, transformations, and visualization techniques.
  • Improve the effectiveness and efficiency of reporting and dashboarding processes, including adopting new technologies, refining existing methods, and incorporating user feedback to enhance their experiences on reports/dashboards.

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