Analytics Engineer - Senior Associate
HINJEWADI PUNE, India
State Street
State Street provides investment servicing, investment management, investment research and trading services to institutional investors worldwide.The Power BI Engineer position is an integral part of the analytics & reporting team at CRPM. The primary goal of the PBI resource is to support the existing team of PBI while learning and improving their existing analytics skills.
Power BI Developer Roles and Responsibilities:
2 to 4 years of relevant experience as a detail-oriented Business Intelligence or Data analyst
Experience working with data visualization tools such as Power BI (Dashboard Layout / Formatting, DAX, Power Query)
Perform DAX queries and functions in Power BI along with the transformation of data using POWER QUERY functions
Excellent in analytical thinking for translating data into informative visuals and reports
Create relationships between data and develop tabular and other multidimensional data models
Experience with data analysis using Excel and other tools
Experience working as part of a cross-functional team
Familiarity with data warehouses and database concepts
Eagerness to learn new topics and explore opportunities to identify and improve process inefficiencies
The ability to build strong relationships across the organization at all levels and are a team player
Excellent communication and presentation skills, with the ability to translate sophisticated analytical concepts to a non-data fluent audience
Good exposure to PBI REST APIs and power BI embed
Good to have knowledge and skills for secondary tools such as Microsoft Azure, SQL data warehouse, PolyBase, Visual Studio, etc
Able to implement row-level security on data and understand application security layer models in Power BI
Good to have experience on Power Automate and MS Flows
Person should have great knowledge and working experience of below tools and techniques:
Extensive hands-on experience on Power BI Desktop
Data Modelling Power Query Transformation Fair Understanding of M-Query Create and Invoke Functions RLS Services Side Features Deployment Pipeline Share and Collaborate Features Power BI REST APIs Data Gateways
Direct vs Import Data Storage Mode
Should have good knowledge of data modelling techniques
Good to know tools and skills:
SQL Query Writing
ETL Understanding
Power Automate
MS Flow
Power BI Report Builder OR SSRS
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Azure Business Intelligence Data analysis Data visualization Data warehouse ETL Excel Power BI Security SQL
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