Lead Data Analyst

Role Overview

The Lead Data Analyst will support Target Technology leadership with critical data analysis and intelligence that enables faster, smarter, and more scalable decision-making across the technology ecosystem. The role requires demonstrated thought leadership in the application of data, analytics, data science, and AI to complex technology problems.

What You Will Do

The Lead Data Analyst will collect, organize, analyze, and disseminate significant amounts of information with attention to detail, accuracy, and sound analytical judgment. The role will also involve developing and evolving analytical frameworks, connecting signals across software delivery, applications, infrastructure, incidents, reliability, security, ownership, dependencies, and other technology domains to discover patterns and drivers.

Why It Might Be a Fit

The Lead Data Analyst will contribute to and establish the right artifacts to document AI solutions, analytical methodologies, model assumptions, evaluation approaches, and responsible-use considerations used in analytical projects. The role will also involve ensuring compliance with corporate data protection standards and establishing responsible AI practices.

Requirements

• 8-12 years of experience
• 6-8 years of relevant experience
• B.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent
• Adept at Structured Query Language (SQL), SQL optimization, data warehousing, and DW/BI concepts
• Proficient in BI visualization tools (i.e. Looker, Power BI, Tableau)
• Expert in structured and unstructured data environments
• Hands-on experience in R, Python, or other open-source languages and analytical environments
• Technical proficiency in analytical techniques such as Regression, Time-series models, Classification, Forecasting, Anomaly Detection, and similar methods
• Ability to evaluate statistical and machine-learning approaches, assess model performance and calibration, understand uncertainty and limitations, and translate models into actionable decision capabilities
• Git source code management and experience working in an agile environment
• Systematic and logical approach to problem-solving, with strong critical thinking and ability to navigate ambiguity and cross-domain dependencies
• Highly self-motivated with a strong sense of urgency and ability to work independently and in team settings in a fast-paced environment
• Ability and desire to teach, mentor, learn, and raise analytical capability across a broader team and stakeholder community
• Excellent communication, service orientation, executive storytelling, and strong relationship-building skills
• Ability to influence technical and non-technical stakeholders

Benefits

• Dental insurance
• Vision insurance
• Other benefits (link to benefits page)

Tagged as: Data Analysis