Data Analyst L2

Summary

Join DEPT® as a Senior Data Analyst to lead complex data-driven projects, manage high-performing teams, and drive business value through analytics and engineering solutions. This role demands technical expertise, client management skills, and leadership to deliver impactful insights and solutions 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 mix of remote and hybrid work options depending on location, with competitive salary ranges and a comprehensive benefits package. DEPT® is a global agency with a collaborative culture that prioritizes employee growth and well-being. Relocation is not offered at this time.

Requirements

• 5+ years of applied analytics experience in sales, finance, marketing, product, or engineering
• 5+ years of experience assessing client data ecosystems, including data tools, applications, and architectures
• 4+ 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