Data Analyst - IT III

Job Title: Data Analyst - IT Location: Chicago, IL Employment Type: Contract About Us: DMV IT Service LLC, founded in 2020, is a trusted IT consulting firm specializing in IT infrastructure optimization, cybersecurity, networking, and staffing solutions. We partner with clients to achieve technology goals through expert guidance, workforce support, and innovative solutions. With a client-focused approach, we also provide online training and job placements, ensuring long-term IT success. Job Purpose: The Senior Data Analyst will play a critical role in transforming large-scale product data into actionable insights that drive strategic and operational decision-making. This role requires a highly analytical professional who can independently explore complex datasets, validate data quality, and proactively identify improvement opportunities without always having predefined requirements. Requirements: Key Responsibilities: Perform deep-dive data analysis to uncover patterns, operational risks, and new business opportunities Validate data quality by checking completeness, accuracy, and consistency across multiple sources Build, automate, and optimize large datasets to support advanced analytics, data mining, and visualization efforts Conduct exploratory analytics and create meaningful dashboards and reports tailored to business needs Act as a thought leader—recommend insights, hypotheses, and technical solutions for evolving product challenges Collaborate with cross-functional teams to ensure analytics outcomes align with business goals Top Technical & Professional Skills: Exceptional analytical thinking and comfort operating in ambiguous environments Advanced SQL capabilities with hands-on experience working with high-volume datasets (400M+ rows/day) Proficiency with Quantum Metrics for product performance analytics Highly autonomous and proactive—able to drive initiatives with minimal direction Strong storytelling skills with the ability to communicate data insights to both technical and non-technical audiences Required Qualifications: Bachelor’s degree in Computer Science, Business Analytics, or a related quantitative field 5+ years of experience in Data Analytics, Business Intelligence, or similar analytical functions Expertise in SQL and relational database environments Experience with modern data visualization tools (Power BI, Tableau, Spotfire, Excel, etc.) Strong data manipulation, problem-solving, and critical-thinking skills Proven capability to independently manage multiple analytics tasks and deliver results Preferred Qualifications: Experience with Python or other scripting languages for advanced analytics and automation Familiarity with digital analytics/monitoring tools such as Akamai, Dynatrace, and Quantum Metrics Passion for uncovering insights within complex, high-volume data ecosystems Growth mindset with a willingness to continuously learn new technologies