Data Analyst

As a professional in the Analytics & AI industry, you will have the opportunity to collaborate with a strategic technology partner to deliver reliable AI solutions. Your primary focus will be on driving client satisfaction and ensuring high-quality outcomes through your expertise and clear communication. Your key responsibilities in this role will include performing advanced analytics such as cohort analysis, scenario analysis, time series analysis, and predictive analysis. You will be expected to effectively articulate assumptions, analyses, and interpretations of data in various formats. Additionally, you will play a crucial role in designing data models that connect data elements from different sources and collaborating with BI engineers to develop scalable reporting and analytics solutions. Querying data from warehouses using SQL, validating and QA-ing data for accuracy and quality, as well as troubleshooting data issues and conducting root cause analysis will also be part of your day-to-day tasks. To excel in this position, you should ideally possess 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering. Expertise in writing complex SQL queries for warehouses, advanced skills in BI tools such as Tableau, Domo, and Looker, and intermediate skills in Excel, Google Sheets, or Power BI will be essential. A Bachelors or Advanced degree in Data Analytics, Computer Science, or related fields is preferred, along with a willingness to collaborate with team members across different time zones. While not mandatory, it would be advantageous if you have experience working with globally recognized organizations and hands-on experience with live projects in the Software Development Life Cycle (SDLC). Your proficiency in Data Analytics, BI Analytics, BI Engineering, SQL, BI tools (Tableau, Domo, Looker), Excel, Google Sheets, Power BI, and your ability to work with various databases like Snowflake, Redshift, SQL Server, Oracle, and BigQuery will be key to your success in this role.,