Job Seekers, Please send resumes to resumes@hireitpeople.com

• Translating business problems into analytical solutions by crunching data into business decision model.
• The role requires skills in data engineering, ETL, data modeling, math/logic, visualization and continuous improvement lifecycle.
• It requires to establish data lineage across multiple analytical models to provide a front to back data model servicing the post trade flow starting from collecting data, data modeling, warehousing, visualizations and business insights
• Academic Qualifications: Engineering (or) masters in analytics/data science (or) any math/statistics/quant background
• Expertise in data munging/wrangling methods on large datasets
• Dimensional modeling, OLTP OLAP structures, relational data models
• Analytics tools/platforms: Alteryx (preferred)
• Visualization: Tableau (preferred), Qlikview
• Programming languages: Python (Intermediate), R
• ETL processes, data integration, data quality framework
• Experience solving business problems using data and created analysis
• Databases/Warehousing Platforms: Microsoft SQL server, MySQL, MemSQL/Singlestore, AWS, Snowflake

• Has engineering or any quantitative background
• Hands - on experience of Data Engineering BI worked end-end from modeling data to analysis and solve business problems
• Expertise in relational DBs, data modeling and ability to convert business logic/decisions into business metrics
• Preferred MS-SQL, Alteryx, Tableau Python

Minimum years of experience*: 5-8 years

Certifications Needed: No

Interview Process (Is face to face required?): No

Does this position require Visa independent candidates only? No