Job Summary

We are seeking a highly skilled and experienced data lead to join our growing team. The ideal candidate will be a data-driven problem solver with a passion for uncovering insights that drive strategic business decisions. This role will involve working with large, complex datasets, creating compelling visualizations, and effectively communicating findings to both technical and non-technical audiences. The team lead will play a key role in mentoring data analysts and contributing to the development of our data analytics capabilities.

Key Responsibilities:

● Data Extraction & Preparation:

○ Ability to write, execute, and optimize complex SQL queries, stored procedures, and ETL scripts

○ Extract, clean, transform, and validate data from various sources (e.g., databases, APIs, flat files) using SQL OR other relevant tools.

○ Identify and resolve data quality issues, ensuring data integrity for analysis.

● Reporting & Visualization:

○ Design, develop, and maintain interactive dashboards and reports using tools like Tableau, Power BI, Looker, or similar.

○ Present complex data in a clear, concise, and visually appealing manner for various stakeholders.

○ Automate reporting processes where possible to improve efficiency.

● Business Acumen & Communication:

○ Translate complex analytical findings into clear, actionable business recommendations for stakeholders across different departments (e.g., Marketing, Product, Operations, Finance).

○ Collaborate closely with business leaders to understand their analytical needs and define key performance indicators (KPIs).

○ Prepare and deliver compelling presentations to senior leadership and cross functional teams.

○ Act as a subject matter expert on data and analytics for relevant business areas.

● Mentorship & Leadership:

○ Mentor and guide junior data analysts, sharing best practices and fostering their professional development.

○ Contribute to the continuous improvement of data analysis processes, methodologies, and tools within the team.

○ Stay updated with industry trends and advancements in data analytics and data science.

Qualifications

● Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related discipline..

● [6+] years of progressive experience as a Data Analyst, with a significant portion in a senior role.

● Strong proficiency in SQL for data extraction and manipulation.

● Proven experience with data visualization tools (e.g., Tableau, Power BI, Looker).

● Experience with large datasets and data warehousing concepts.

● Excellent analytical, problem-solving, and critical thinking skills.

● Strong communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.

● Ability to guide the team and mentor them on the design and implementation Preferred Qualifications (Bonus Points):

● Prior experience working with Google and plx environment

● Experience with cloud platforms (e.g., GCP) and big data technologies

● Knowledge of data governance and data security best practices.