Senior Data Analytics & Business Intelligence Engineer

Job  Senior Data Analytics & Business Intelligence Engineer Charlotte, NC

Job Description:

7 plus years of experience in data engineering, business intelligence, analytics, reporting, or related technology disciplines. Extensive experience designing and developing Power BI dashboards and enterprise reporting solutions. Advanced experience with Tableau or comparable visualization platforms. Strong expertise in SQL, data modeling, ETL/ELT processes, and data integration techniques. Experience working with Agile, Product, Engineering, or Technology delivery organizations. Ability to synthesize complex data into meaningful business insights and executive narratives.

Strong analytical, problem-solving, and critical-thinking capabilities. Excellent communication and stakeholder management skills. Critical

Skills:

Power BI Tableau SQL Data Modeling Data Engineering Business Intelligence Executive Reporting Analytics & Visualization Trend Analysis Root Cause Analysis Data Storytelling Strategic Thinking Stakeholder Management Agile Metrics Engineering Metrics AI-Enabled Analytics In this contingent resource assignment, candidates may:
Consult on complex initiatives with broad impact and large-scale planning for Database Engineering. Review and analyze complex multi-faceted, larger scale or longer-term Database Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.

Strategically collaborate and consult with client personnel.

Required Qualifications:

5 plus years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

Note:

Part of Product Transformation for TCOO. Overall transformation for product and AI tools. Finding bottlenecks, development life cycles, tracking and managing agile metrics. Proving what good looks like and building the narrative of how they’re improving development in the organization. Right now there’s not a great data ecosystem that allows for pulling together data from multiple data sources ranging from BI tools to manual spreadsheets.

Need to be versed in tying data sources together and using manual resources. Reporting and analytics people, but not just someone who builds dashboards. Needs to think outside the box and identify trends. Needs to be independent and able to drive transformation overall. Shouldn’t need to be directed line by line on the project. Visualizations being built should be able to be snipped and presented in executive presentations, this person won’t be the one presenting.

Team is going to consist of the 2 contractors, an AI engineering analytics person, strategy DAC person, Product operating model person. Dotted line relationships with all other TCOO groups. Top

Skills:

7 years' engineering experience Client experience in data analytics and reporting Jira Power BI Executive data storytelling (trends, scorecards, advanced functions, not just a basic dashboard), Need to articulate a clean story and articulate data issues for the non-technical offices above them Manual data resource management Data connectivity and integration - APIs (REST/GraphQL), SQL, JSON/XML, ETL/ELT webhooks, JDBC/ODBC, data connectors, and event streaming Nice to Have:
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