At SteerBridge, we are dedicated to combining the expertise of our team, cutting-edge technologies, and innovative solutions to serve our clients seamlessly. Prioritizing customer needs is at the heart of our mission, as we go above and beyond to understand the core of each challenge and provide tailored solutions. Trust is foundational to our approach, and we are unwavering in our commitment to success. Comprising dedicated Veterans and professionals, our team embodies sacrificial leadership and unwavering integrity. In turbulent times, we see opportunities for growth. At SteerBridge, we specialize in guiding clients through challenges, turning obstacles into opportunities with a touch of magic and unwavering commitment. 

 

1. Internship Programs - An internship is a workplace learning experience that assists participants to prepare for employment by observing and performing, within the employer’s operating environment, the work activities performed by members of the employer’s workforce. Internships may be completed in Federal, State, or local government or in the private sector (either for-profit or not-for-profit). 

2. Apprenticeship Programs - A combination of on-the-job training (OJT) and related classroom instruction under the supervision of a journey-level craft person or trade professional in which workers learn the practical and theoretical aspects of a highly skilled occupation. 

3. 
- Data Collection and Integration -  
- Data Analysis and Interpretation 
- Reporting and Visualization 
- Predictive Modeling and Forecasting 
- Data Governance and Quality Assurance 
- Continuous Learning and Skill Development 

1. Data Collection and Integration: 

Gather data from multiple sources including databases, spreadsheets, and APIs.  Clean, validate, and preprocess raw data to ensure accuracy and consistency. Integrate data from disparate sources to create comprehensive datasets for analysis. 

2. Data Analysis and Interpretation: 

Apply statistical techniques and data mining algorithms to analyze complex datasets. Identify trends, patterns, and correlations to extract meaningful insights. Interpret analytical findings and translate them into actionable recommendations for stakeholders. 

3.Reporting and Visualization: 

•  Design and develop dashboards, reports, and visualizations to communicate analytical findings effectively. 
•  Utilize data visualization tools (e.g., Tableau, Power BI) to create interactive and informative data presentations. 
•  Present analysis results to key stakeholders and explain complex concepts in a clear and concise manner. 

4. Predictive Modeling and Forecasting: 

Build predictive models using machine learning algorithms to forecast future trends and outcomes. Evaluate model performance and refine algorithms to improve accuracy and reliability.  Collaborate with business units to leverage predictive insights for strategic planning and decision-making. 

5. Data Governance and Quality Assurance: 

Establish data quality standards and ensure compliance with data governance policies. Conduct regular audits and assessments to maintain data integrity and reliability. Implement data cleansing and enrichment processes to enhance data quality and completeness. 

6. Continuous Learning and Skill Development: 

Stay abreast of industry trends, emerging technologies, and best practices in data analysis. Participate in training programs and professional development activities to enhance technical skills and domain knowledge. Share knowledge and mentor junior analysts to foster a culture of learning and innovation. 

Assessment:  

1. Demonstrates understanding of basic Data Collection and Integration – 20% 

2. Demonstrates understanding of basic Data Analysis and Interpretation – 20% 

3. Understands basic Reporting and Visualization – 10% 

4. Demonstrates understanding of basic Predictive Modeling and Forecasting – 20% 

5. Understands Data Governance and Quality Assurance – 15% 

6. Understands Continuous Learning and Skill Development – 15%