Lead Data Analyst

Company Description E-Solutions, founded in 2003 and headquartered in San Jose, California, is a global technology and workforce solutions provider focused on connecting technology with talent. As a certified Minority Business Enterprise (MBE), the company delivers digital product engineering, AI-powered transformation, global workforce management, and business process outsourcing to organizations across more than 35 countries. E-Solutions supports clients in over 150 countries, partnering with Fortune 500 enterprises, high-growth companies, and digital-first organizations to solve complex business challenges. Its expertise spans AI and data engineering, intelligent automation, cloud and DevOps, BPO, RPO, and global payrolling and compliance solutions. The company’s integrated approach enables organizations to build, modernize, and scale while driving measurable business outcomes.

Role Description The Lead Data Analyst is a full-time, on-site role based in Santa Clara, CA. This role is responsible for leading data analysis initiatives, including collecting, cleaning, and interpreting large data sets to support strategic decision-making. The Lead Data Analyst will design and maintain data models, develop dashboards and reports, and collaborate with cross-functional teams to identify trends, patterns, and opportunities. Responsibilities include translating business questions into analytical frameworks, presenting insights to stakeholders in a clear and actionable manner, and mentoring analysts on best practices in data analytics and reporting. The role also involves partnering with technology and business teams to improve data quality, optimize processes, and support AI and analytics-driven solutions.

Qualifications

• Candidates should possess strong Analytical Skills and proficiency in Data Analytics to interpret complex data sets and generate actionable insights.
• Candidates should have solid knowledge of Statistics to design analyses, validate findings, and support data-driven decision-making.
• Candidates should have experience in Data Modeling to build, optimize, and maintain data structures for reporting and advanced analytics.
• Candidates should demonstrate excellent Communication skills to present findings clearly, collaborate with diverse teams, and influence stakeholders.
• Relevant qualifications include experience with BI and data visualization tools (e.g., Tableau, Power BI), SQL and relational databases, and working with cloud data platforms.
• A bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field is preferred; advanced degrees or industry certifications in analytics are a plus.
• Proven experience in a lead or senior analyst role, including mentoring team members and driving analytics projects end-to-end, is highly beneficial.