Data Analyst

We are looking for a detail-oriented and analytical Data Analyst to join our team. In this role, you will turn raw data into actionable insights, build and maintain dashboards, and help stakeholders across the business make data-driven decisions. The ideal candidate has strong SQL and data visualization skills, a knack for storytelling with data, and a passion for solving complex business problems.

Key Responsibilities:
Data Analysis & Modeling: Collect, clean, and analyze large datasets to identify trends, patterns, and business opportunities.

Reporting & Dashboards: Design, build, and maintain automated dashboards and recurring reports (using tools like Tableau, Power BI, or Looker) to track key performance indicators (KPIs).

Stakeholder Collaboration: Partner with cross-functional teams (Product, Marketing, Finance, Operations) to understand their data needs, define metrics, and deliver ad-hoc analyses.

Data Quality & Governance: Ensure data integrity by establishing validation checks, debugging pipelines, and maintaining documentation on data definitions and logic.

Insights Delivery: Translate complex technical findings into clear, concise, and non-technical presentations for leadership and business teams.

Required Qualifications & Skills:
Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.

Technical Experience:

2+ years of professional experience in a data analysis or business intelligence role.

Strong proficiency in SQL for data extraction and manipulation.

Experience with a data visualization tool (e.g., Tableau, Power BI, Looker).

Familiarity with a scripting language for data analysis (e.g., Python or R).

Analytical Mindset: Strong problem-solving skills with a high attention to detail and accuracy.

Communication: Excellent written and verbal communication skills, with the ability to present technical insights clearly to non-technical audiences.

Preferred Qualifications:
Experience working with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).

Familiarity with basic statistical modeling and A/B testing frameworks.

Background in an Agile or fast-paced startup environment.