Associate, Product Operations Analyst – Data Trans

HARMAN India

1 years

0 Lacs

mulshi maharashtra india

Posted:3 days ago| Platform:

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Skills Required

data analytics engineering configuration workflow pipeline interpretation design documentation sql python normalization mapping analysis logic schedule excel pivot query reporting visualization powerbi tableau word powerpoint etl

Work Mode

On-site

Job Type

Full Time

Job Description

Primary Responsibilities:“OneMarket Insights” Spend Analytics Engineering (Build It)Lead the configuration for a new client workflow/pipeline processConfigure a new data pipeline based on your interpretation of the Design documentation and using our data pipeline toolset, including SQL, Python and other technologiesThe Pipeline enables our “Ingest to Publish” (I2P) data enrichment process through ingestion, normalization, categorization and enrichment processes for a clientConfiguration requires the use of a mix of skills including problem solving, data field mapping, data analysis, lookup table creation, data cleansing logic and workflow definitionCreation of the I2P process documentation to be used by the Operations teamWritten & Communications with client stakeholders throughout project schedule Technical Experience (Preferred) Knowledge and experience with Excel: Advanced Level

Organizing & Cleaning data, all major Functions & Formulas, Lookups/Index/Match, Pivot tables, PowerQuery/PowerPivotKnowledge and experience with SQL: Strong
DRL/DQL (query & update scripting)Knowledge and experience with Python: Basic – Python Basics + Data AnalysisExperience in financial or operational data analysis and reporting: 1-2 yearsExperience with Data Visualization & BI tools (ie PowerBI, Tableau): 1-2 yearsProficiency using documentation tools (ie Word, Excel, Powerpoint): requiredExperience in creating and/or working with data pipelines or ETL: 1-2 yearsExperience in mapping and consolidation of different datasets: 1-2 years Technical Experience (Preferred) Knowledge and experience with Excel: Advanced Level
Organizing & Cleaning data, all major Functions & Formulas, Lookups/Index/Match, Pivot tables, PowerQuery/PowerPivotKnowledge and experience with SQL: Strong
DRL/DQL (query & update scripting)Knowledge and experience with Python: Basic – Python Basics + Data AnalysisExperience in financial or operational data analysis and repor ting: 1-2 yearsExperience with Data Visualization & BI tools (ie PowerBI, Tableau): 1-2 yearsProficiency using documentation tools (ie Word, Excel, Powerpoint): requiredExperience in creating and/or working with data pipelines or ETL: 1-2 yearsExperience in mapping and consolidation of different datasets: 1-2 years

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