Lead complex analytical projects: extract, clean, and analyze large datasets; build predictive models and LLM-enabled analytics; create automated dashboards and reports; translate insights into strategic recommendations; mentor junior analysts and partner with stakeholders to support business initiatives.
The Lead Data Analyst is responsible for driving data-driven decision-making across the organization by leading complex analytical projects, optimizing data processes and delivering actionable insights. This role involves extracting, cleaning and analyzing large datasets to identify trends, measure performance to support strategic initiatives, and close engagement with internal partners.
Responsibilities
- Partner with internal stakeholders to understand strategic objectives, define data-driven approaches, and lead high-impact analytical projects that align with business goals.
- Extract, clean and integrate structured and unstructured data from multiple sources, ensuring data accuracy, consistency and reliability for business use.
- Conduct in-depth statistical analysis and predictive modeling to uncover trends, correlations and insights that drive business growth and operational efficiencies.
- Work with AI technology to implement large language models and advanced analytics techniques to support strategic initiatives such as customer segmentation, demand forecasting and risk assessment.
- Build and automate interactive dashboards, real-time reports and data visualization tools using Power BI, Tableau, or similar platforms to enable data accessibility across teams.
- Ability to synthesize complex data into meaningful stories, actionable insights, and strategic recommendations for business stakeholders.
- Act as a subject matter expert on data analytics, providing mentorship, training and guidance to junior analysts to strengthen the organization’s analytical capabilities.
- Automate and streamline recurring data analysis and reporting workflows using SQL, Python, and other programming tools to improve efficiency and reduce manual effort.
- Collaborate with leadership to design and implement data-driven strategies, presenting insights in a clear and compelling manner to both technical and non-technical audiences.
Qualifications and Skills
- Minimum 6 years of relevant work experience, with at least 3 years in advanced analytics, statistical modeling or business intelligence.
- Bachelor’s degree (B.E./B.Tech) in Computer Science, IT, Business Intelligence and Analytics, Statistics/Mathematics, or a similar field.
- Expertise in SQL for data querying, performance optimization, and database management.
- Proficiency in Python or R for statistical analysis, automation, and machine learning model development.
- Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data lakes and big data processing tools.
- Ability to translate complex data insights into clear and actionable recommendations for business stakeholders.
- Must be eligible to work in the United States
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
Vanguard Charlotte, North Carolina, USA Office
Two North Falls Plaza, Charlotte, NC, United States, 28217
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