Functional Engineer Reporting

AkzoNobel

Mhalunge

On-site

INR 600,000 - 900,000

Full time

14 days+
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Job summary

AkzoNobel in India seeks a Functional Engineer to support analytics tooling and data engineering activities. You will contribute to the development of Power BI dashboards, prepare data models from SAP ERP/HANA, Azure SQL and data lakes, and automate data flows using Azure and Power Platform.

The role emphasizes collaboration with ISC Customer ops, Warehouse, Transportation, Quality, and BI stakeholders. 1–4 years analytics experience and strong Power BI/SQL skills are expected.

Qualifications

  • Bachelor preferred in Information Management.
  • 1-4 years of work experience as a data analyst or in related analytics area.
  • Proficient in Power BI, Power Apps, Excel, SQL.
  • Good to have understanding of Azure Data Lake, Databricks, Python.
  • 1-3 years in developer roles in a global or multinational environment.
  • Systematic and logical approach to problem-solving, accuracy and attention to detail.

Responsibilities

  • Contribute to development of Power BI tools as required.
  • Build analytics using visualization and information flow.
  • Integrate & prepare data model from multi-sourced systems (SAP ERP/HANA, Azure SQL, Azure Data Lake, Excel, flat files).
  • Perform data transformation and data modeling (joins, exclusion, enrichment, pivoting, un-pivoting).
  • Automate data flows using Azure platform and tools (Power Automate, SharePoint).
  • Perform data loads and changes, generate daily/weekly/monthly reports.
  • Communicate with internal BI team and external stakeholders.
  • Work with Excel, Power BI, SharePoint & other BI tools.
  • Improve and maintain data solutions in collaboration with the internal team.

Skills

Power BI
Power Apps
Excel
SQL
Python
Azure Databricks
Azure Data Lake

Education

Bachelor in Information Management

Tools

SAP ERP / HANA

Job description

Job Purpose -

The Functional Engineer Reporting reports into the Analytics Portfolio lead and is part of a broader global I.T Advance Analytics team - Operating from various locations (Amsterdam, Barcelona, Pune)

His/her role is to support team on building, maintaining and delivering Analytics tools / dashboards/ reports, Data solutions for various functions of ISC Customer ops, Warehouse, Transportation, Quality etc.

He will work closely with various internal stakeholders from ISC - BPMs / BPOs.

This role allows to get into Data engineering using Data bricks and Azure Data lake and grow further into specialist of Data engineering, Data scientist in future

Role & responsibilities -
Solution design & development:
  • Contribute to development of Power BI tools as required
  • Build up analytics using the right visualization and flow of information
  • Integrate & prepare data model from multi sourced systems - SAP ERP / HANA, Azure SQL, Azure Data lake, Excel, flat files etc
  • Perform data transformation, Data modeling - [joints, exclusion, enrichment, pivoting, un-pivoting etc.]
  • Automate tools/ data flow using best practices in collaboration with internal teams, IM architects , using Azure platform, other tools - Power Automate, Sharepoint list
Improve and maintain existing solutions:
  • Perform required changes and regular data load activities
  • Execute various operational daily/ weekly/ monthly reports
  • Communicate with internal BI team & external stakeholders
  • Work on Excel, Power BI, Sharepoint & other BI tools
  • Later Improve and maintain existing data solutions in collaboration with internal team
Preferred candidate profile -
Academic and professional background:
  • Bachelor preferably in Information Management
  • 1 - 4 years of work experience as a data analyst or in related analytics area
  • Proficient in Power BI, Power App, Excel, SQL
  • Good to have understanding of Azure Data lake, Data bricks, Python
  • At least 1-3 years work experience in developer roles in a global or multinational environment
  • Having a systematic and logical approach to Problem-solving skills

Accuracy and attention to detail

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