What are the responsibilities and job description for the Sr Data Analyst position at 3M Consultancy?
Job Title : Sr Data Analyst with DHS background
Location : Washington, DC.
Duration : Full-Time.
Need Clearance or eligible for one.
Job Summary :
The Senior Data Analyst will lead data-driven decision-making initiatives by collecting, analyzing, and interpreting complex datasets. The role involves providing actionable insights, developing advanced analytics models, and working closely with stakeholders to address key business challenges. As a senior team member, the analyst will also mentor junior staff and contribute to strategic planning and execution.
Understanding GETS and WPS
- GETS : A program designed to provide priority landline calling capabilities during emergencies when the public telephone network is congested.
- WPS : A service that prioritizes mobile calls for authorized users during times of network congestion.
Both services aim to ensure critical communication for government officials, emergency responders, and key personnel during emergencies.
Key Responsibilities :
1. Data Analysis & Insights :
o Analyze large and complex datasets to identify trends, patterns, and insights that drive business decisions.
o Create dashboards, visualizations, and reports to communicate findings effectively.
2. Business Collaboration :
o Work closely with cross-functional teams (e.g., marketing, finance, operations) to understand business needs and provide tailored analytical solutions.
o Present insights and recommendations to senior leadership in a clear and actionable manner.
3. Advanced Analytics :
o Develop and implement predictive models, segmentation strategies, and statistical analyses to support business objectives.
o Use advanced tools and techniques such as machine learning, statistical modeling, or optimization algorithms.
4. Data Management :
o Ensure data integrity, accuracy, and consistency across different systems and platforms.
o Collaborate with data engineering teams to design and maintain scalable data pipelines.
5. Continuous Improvement :
o Stay updated with the latest tools, technologies, and best practices in analytics and data science.
o Identify opportunities for process improvement and implement innovative solutions.
Qualifications & Skills :
Required :
Preferred :
