We are looking for a detail-oriented and analytical Data Analyst with 3–4 years of experience to transform data into actionable insights. You will work closely with product, marketing, operations, and leadership teams to analyze trends, build dashboards, and support data-driven decision-making.
This role requires strong analytical skills, business acumen, and the ability to communicate insights clearly to both technical and non-technical stakeholders.
Analyze structured and unstructured data to identify trends and patterns.
Translate business problems into analytical solutions.
Perform ad-hoc analysis to support decision-making.
Design, build, and maintain dashboards using BI tools (e.g., Power BI, Tableau, Looker).
Automate recurring reports and improve reporting efficiency.
Ensure data accuracy and consistency across reports.
Write complex SQL queries to extract and manipulate large datasets.
Work with data warehouses (e.g., Snowflake, Redshift, BigQuery).
Validate data integrity and troubleshoot discrepancies.
Partner with cross-functional teams to understand business requirements.
Present insights and recommendations to stakeholders.
Support data-driven product, marketing, and operational decisions.
Conduct A/B test analysis and performance measurement.
Build predictive models or statistical analyses (basic level).
Use Python/R for data analysis and automation (if applicable).
Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
3–4 years of experience in Data Analysis or Business Intelligence.
Strong proficiency in SQL.
Experience with BI tools (Tableau / Power BI / Looker).
Solid understanding of data visualization best practices.
Strong analytical and problem-solving skills.
Excellent communication and presentation skills.
Experience with Python or R for data analysis.
Familiarity with statistical methods and hypothesis testing.
Experience with A/B testing and experimentation.
Knowledge of ETL processes and data pipelines.
Experience in [Industry: SaaS / FinTech / E-commerce / Healthcare / etc.]