Senior Data Analyst

Job Summary:

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).
• Ability to effectively prepare and submit CLs for SQL scripts, ensuring clarity, conciseness, and adherence to internal coding standards
• 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 work independently and collaboratively in a fast-paced environment.

Preferred Qualifications (Bonus Points):

• Prior experience working with Google and plx environment
• Experience with cloud platforms (e.g., GCP) and big data technologies
• Proficiency in utilizing

  Cider's

  features for efficient SQL development.
• Proven experience with Google's internal code review system,

  Critique

  , for submitting, reviewing, and iterating on Change Lists (CLs).
• Knowledge of data governance and data security best practices.