Senior Data Analytics & BI Engineer Level 3

In this contingent resource assignment, candidates may: Consult on or participate in moderately complex initiatives and deliverables within Database Engineering and contribute to large-scale planning related to Database Engineering deliverables. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Position: Database Engineer 3/Data Analytics
Location: Charlotte, North Carolina - 3 days onsite 2 days Remote
Duration: Contract -18 months
Job ID: 179742

Job Description:

• Database Engineer 3/Data Analytics
• 4 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.
• 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 Analytic

Top Skills:

• 4 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:

• Tableau
• Top corporate banks

In this contingent resource assignment, candidates may:

• Consult on or participate in moderately complex initiatives and deliverables within Database Engineering and contribute to large-scale planning related to Database Engineering deliverables.
• Review and analyze moderately complex Database Engineering challenges that require an in-depth evaluation of variable factors.
• Contribute to the resolution of moderately complex issues and consult with others to meet Database Engineering deliverables while leveraging solid understanding of the function, policies, procedures, and compliance requirements.
• Collaborate with client personnel in Database Engineering.

Required Qualifications:

• 4 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:

• Location: Charlotte, NC 
• Part of Product Transformation for TCOO.
• Overall transformation for product and AI tools.
• Finding bottlenecks, development lifecycles, 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.

Additional Notes:

• Contract - 18 months, possibility to extend or convert
• RTO schedule - 3 days in office MANDATORY
• Interview process: 1 30-minute virtual panel

Pay Range: $52-$54/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.

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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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