Senior Data Analyst L3
closed
United States Department of Defense
Summary
Join DEPTยฎ as a Senior Data Analyst and lead complex data-driven projects, manage high-performing teams, and drive business value through analytics and engineering solutions. This role demands a blend of technical expertise, client management, and leadership to deliver impactful insights to enterprise clients. You will collaborate with cross-functional teams, translate business challenges into data solutions, and contribute to the growth of our data consulting practice. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth within a collaborative and innovative environment. Multiple locations are available, with varying salary ranges and work arrangements (remote or hybrid). Relocation is not offered.
Requirements
- 7+ years of applied analytics experience in sales, finance, marketing, product, or engineering
- 7+ years of experience assessing client data ecosystems, including data tools, applications, and architectures
- 5+ years of consulting experience, delivering data solutions for enterprise clients
- Strong expertise in SQL and familiarity with NoSQL databases
- Proficiency in at least one analytics programming language (Python, R, MATLAB, or SPSS)
- Experience with cloud platforms (AWS, GCP, Azure) for deploying analytics solutions
- Proven track record of managing data ecosystems, including ETL, data governance, reporting, and insights
- Strong communication skills, with the ability to translate complex data concepts into business-friendly narratives
- Ability to balance hands-on technical execution with leadership and delegation to maximize team efficiency
Responsibilities
- Serve as a strategic leader, shaping and driving data initiatives that align with business objectives
- Guide and mentor a team of data analysts, ensuring career growth, technical upskilling, and high-performance execution
- Establish and maintain a strong data-driven culture, fostering collaboration between analytics, engineering, and business teams
- Lead and oversee multiple analytics engagements, ensuring high-quality deliverables and client satisfaction
- Develop and maintain trusted relationships with clients, acting as the primary point of contact for data and analytics engagements
- Partner with business stakeholders to define key performance indicators (KPIs), success metrics, and analytical roadmaps
- Navigate complex organizational structures, politics, and personalities to drive consensus and project success
- Identify new business opportunities by assessing client data needs and proposing scalable solutions
- Manage end-to-end analytics projects from discovery, requirements gathering, and solution design to implementation and delivery
- Ensure project timelines, budgets, and deliverables are met while balancing strategic vision and tactical execution
- Define and implement best practices for data governance, data quality, and data management across client environments
- Lead workshops, presentations, and training sessions for clients to communicate insights and recommendations effectively
- Design and implement robust data architectures, including ETL pipelines, data lakes, and cloud-based analytics solutions
- Develop advanced analytics solutions leveraging machine learning, statistical modeling, and data visualization
- Optimize data workflows, ensuring scalability, performance, and automation in analytics infrastructure
- Stay ahead of emerging technologies and best practices in data analytics, engineering, and business intelligence
- Contribute to internal knowledge sharing, mentorship, and innovation initiatives
Preferred Qualifications
- Experience with data visualization tools (Tableau, Power BI, Looker)
- Background in statistical analysis, machine learning, or AI-driven analytics
- Experience managing junior analysts and fostering team growth
- Familiarity with data privacy, security, and compliance best practices
Benefits
- Healthcare, Dental, and Vision coverage
- 401k plan, plus matching
- PTO
- Paid Company Holidays
- Parental Leave
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