Business Intelligence Engineer

Role: Business Intelligence Engineer

Duration: 12 months

Location: Seattle WA, Reston VA, or the Bay Area

TOP 3 Skills

1. Stakeholder management
   Working with product owners to determine specific KPI s needing to be tracked (from scratch)
   2. Data engineering ETL Soid fundamentals with ability to speak to them in an interview with Strong data engineering fundamentals.
   3. KPI reporting creating tools like power BI and Tableau (Oracle internal tool) to create reports and dashboards (most of the focus is on the dashboard!)

Required Skills:

Oracle Technology Stack :ODI, Oracle Database, Goldengate, Oracle Analytics Preferred but not required! ETL and SQL skills are required!

We're looking for consultants with backgrounds within the data lifecycle between Data Engineering and Business Intelligence. These consultants are required to understand the operational aspect of the Network Organization. This will enable them to understand the nomenclature and data they are driving. Will build these data sets.

We will need to be able to articulate what operational data they were working with and how the data was used. (KPI s and SLA s is what we re looking for here.)
We will also need to be able to answer what infrastructure components they've worked with related to observability, telemetry, etc.
What data sets have you written for observability and telemetry?

1. Data Pipeline Development: Build and manage automated pipelines to collect, process, and store data from monitoring metrics, capacity planning tools, KPI dashboards, and operational systems.
2. Centralized Dashboard: Develop a unified reporting framework for all stakeholders, reducing redundancy and improving accessibility to key data.
3. Executive Dashboards
o Provide real-time and historical views of network infrastructure performance.
o Enable interactive reporting with drill-down capabilities.
4. Advanced Analytics & Insights:
o Identify trends and anomalies in network performance and reliability.
o Provide actionable recommendations based on data-driven insights.
o Implement predictive analytics to enhance proactive decision-making.
5. Standardization & Governance: Establish consistent reporting standards, ensuring data accuracy, consistency, and governance across all operational functions.
6. Operational Impact Measurement: Define and track key metrics to measure and enhance operational efficiency, reliability, and availability of Network Infrastructure.