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Senior Business Intelligence Analyst

Salary undisclosed

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Business Intelligence Analyst 5

Remote.

14+ Months.

Typical Day in the Role

• Purpose of the Team: The team is responsible for the business side of the project management for the SIM (Cloud Infrastructure Management) product. They oversee various tools within the SIM ecosystem, including change management, operational change management, CMMS, digital procedures (D maps), and integration with Ariba for P2P services.

Key projects: This role involves overseeing product strategy, engaging with end users, and working with development teams to ensure successful product implementation and user engagement.

Typical task breakdown and operating rhythm: The role will consist of 20% meetings, 50% data work and 30% other heads down work, such as project planning and other focused tasks.

Compelling Story & Candidate Value Proposition

• What makes this role interesting? - This role provides the opportunity to be part of the business team, providing a deep understanding of business needs and objectives.

Top 3 Hard Skills Required + Years of Experience

1. Minimum 4 years experience with data analytics

2. Minimum 2 years experience with data analysis and reporting

3. Minimum 5 years experience with Power BI, Kusto

Candidate Requirements

• Years of Experience Required: 8-10 overall years of experience in the field.

Degrees or certifications required: Bachelor’s degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or other related field required to be eligible for this role.

Best vs. Average: The ideal resume would demonstrate candidate’s impact of their work on the business.

Summary:

The main function of a Business Intelligence Analyst is to perform analysis, report building, and data modeling, focusing on self-service enablement to help us move faster!

Job Responsibilities:

  • The Senior Business Intelligence Engineer will be responsible for data extraction and transformation, report development, data modeling, and performance optimization.
  • Work closely with stakeholders to understand requirements to deliver high-quality visualizations and reports, focusing on automating systems and processes to develop operating efficiencies and enhance current capabilities
  • Look for ways to streamline report generation and provide business leaders with resources to enable informed decision making, including self-service tools that enable users to analyze data through many business dimensions with visibility to granular and historical data
  • Troubleshoot and perform root cause analysis on systems issues, across platforms and systems to ensure quick service restoration of problems. Identify and resolve data reporting issues in a timely fashion, while looking for continuous improvement opportunities.

Qualifications:

  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years’ experience in data analysis and reporting, data science, business intelligence, or business analysis
  • OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years’ experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR equivalent experience.
  • 4+ years of relevant experience in Data Engineering and Business Analytics or related field working on large scale complex programs focused on Data Integration & Analytics.
  • 3+ years of relevant experience with Query languages (SQL, Kusto, Cosmos, etc.).
  • Documented experience with creating leadership-level views to drive actionable and strategic decision making.