Primient · 2 days ago

ISIT Digital Data & Analytics (D&A) Developer

Palatine, IL

Full-time

Onsite

Mid Level

3+ years exp

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Food and BeverageIndustrial

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Responsibilities

Work with our business partners to gather requirements and develop / code reports and dashboards

Transform raw data into actionable business insights in support of decision support solutions to improve enterprise performance

Work in a fast-moving, iterative, agile development of analytics solutions environment

Work with the IT Delivery, Operations, and Security teams and business partners to identify, pilot, build analytics-focused deliverables to provide business value for our business partners to enable self-service for insightful decision-making beyond simple reports

Work under the Digital Data & Analytics Manager to utilize the technology portfolio to enable new capabilities while ensuring compliance and alignment with internal policies, governance, security, and business objectives.

Qualification

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Data AnalysisBusiness IntelligenceVisualizationsDashboardsAnalytics ToolsPower BICloud Platforms (Azure)IngestionData Lake StoreDatabricksETL PipelinesEnd User BI ToolsSnowflake DevelopmentSAP ECCSAP BWBOBJAFORequirements GatheringData ModellingUniversity DegreeComputer ScienceData Science

Required

3+ years of hands-on industry experience in continuous performance improvements with data analysis, business intelligence, visualizations, dashboards, and analytics tools.

3+ Years of hands-on development experience with Power BI on multiple initiatives and projects.

Hands-on experience with Cloud based platforms (Azure), Ingestion, Data Lake Store, Databricks, ETL pipelines, end user BI tools.

Hands-on Experience with Snowflake development to create technical design, write code and unit test.

Experience with SAP ECC, SAP BW, BOBJ, AFO.

Understanding of requirements gathering and data modelling concepts.

Proven track record of delivering creative solutions with the objective of aligning technology with business strategy and goals.

University degree (or equivalent) in Computer Science, Data Science, or Information Technology.