
Overview
"5-7 years of experience in the data domain with a proven track record in data modelling, wrangling and visualization is an added advantage such as Power BI, Has to work independently - Analyze requirements, design independently.
Strong understanding of SQL databases and ETL technologies
Familiar with technologies relevant to data lakes such as Snowflake, AWS , Dynamic CRM
Strong understanding of security models and concepts such as row-level security
Strong experience with MS Excel (proficient in the use of functions, pivot tables) and PowerPoint
Critical thinking mindset: high attention to detail, even in high-pressure, fast-paced sprints
A collaborative nature and team-orientation
Deft navigation of data challenges: procurement, cleaning, transforming, and ingesting
A confident communicator (strong written and verbal English); a self-starter
Primary Skill is Data Analyst, SQL
Secondary Skill is Power BI-Primary Skill: Data Analyst-Analytics - One to Three Years,Software Developer - One to Three Years-PSP Defined SCU in Data Engineering_Senior Data Ops Professional"
Skills: data analyst , psp