Lead Data Engineer

Design Dashboards: Build and manage interactive dashboards and visual reports using Google’s Looker Analyze Data: Write SQL queries to extract, clean, and study data from multiple databases and sources. Track Metrics: Monitor key performance indicators (KPIs) to evaluate operational and financial performance. Collaborate with Teams: Meet with business leaders to understand their goals and turn needs into technical reporting solutions. Ensure Data Quality: Validate data integrity and fix errors before sharing findings with company executives. Present Insights: Share findings through clear presentations and strategic recommendations for business growth., per annum including any bonuses or variable pay. ** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. Thanks Regards ** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at

A bachelor’s degree in Business Analytics, Computer Science, Statistics, Finance, or a related field.

Technical Tools

Strong proficiency in SQL and data visualization using Google’s Looker. Additional familiarity with Excel, Python, or R is a plus. Analytical Mindset: Excellent problem-solving skills with the ability to spot trends, risks, and hidden patterns in big data sets. Communication

Strong verbal and written communication skills to explain technical numbers to non-technical leaders.