Data Analyst

Very good knowledge of Snowflake data warehouse, data infrastructure, data platforms, ETL implementation, data modelling and design 

Ability to gather, view, and analyze data

Apply statistical and data analysis techniques to identify patterns, trends, correlations, and anomalies in large datasets.

Utilize advanced analytical tools and programming languages (e.g., Python, R, SQL) to conduct exploratory data analysis.

Develop and implement data models to support predictive and prescriptive analytics.

Connecting to data sources, importing data and transforming data for Business Intelligence.

Strong hands-on experience in writing SQLs, basic and complex

Good knowledge of Snowflake cloud data platform

Create clear and informative visualizations (charts, graphs, dashboards) to present insights to non-technical stakeholders.

Strong exposure to Visualization , transformation, data analysis and formatting skills.

Develop interactive dashboards and reports using data visualization tools (e.g.Snowsight, Tableau, Power BI) to facilitate data-driven decision-making.

Good to have knowledge of Finance and Accounting domain

Familiarity with cloud ecosystems

Should be able to back track and do deep analysis of issues and provide RCA. 

Good testing and documentation skills

Should be able to communicate with fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.

Ability to be creative and analytical in a problem-solving environment.

Effective verbal and written communication skills.

Adaptable to new environments, people, technologies, and processes

Ability to manage ambiguity and solve undefined problems