Functional Engineer Reporting

About AkzoNobel

Since 1792, we’ve been supplying the innovative paints and coatings that help to color people’s lives and protect what matters most. Our world class portfolio of brands – including Dulux, International, Sikkens and Interpon – is trusted by customers around the globe. We’re active in more than 150 countries and use our expertise to sustain and enhance the fabric of everyday life. Because we believe every surface is an opportunity. It’s what you’d expect from a pioneering and long-established paints company that’s dedicated to providing sustainable solutions and preserving the best of what we have today – while creating an even better tomorrow. Let’s paint the future together.

For more information please visit www.akzonobel.com

© 2024 Akzo Nobel N.V. All rights reserved.

Job Purpose

About the team: IT Advance Analytics team is focused on unlocking the value of data as it exists within Akzonobel operations / systems. We're an eclectic team of data-oriented “doers” who love to take on new challenges, are always learning, and looking for ways to improve decision-making.

POSITION OVERVIEW:

The Functional Engineer Reporting - is responsible for developing, maintaining, modelling and visualization for Global SC Analytics solutions to improve performance and achieve the Supply Chain of the future vision.

It will be based in GBS – Pune organization & reports to the Supply Chain Advanced Analytics Portfolio Lead which is part of the AkzoNobel global IT deliver organization, which aims to use data-driven techniques and methodologies to uncover insights, support decision-making, and drive business strategies.

You will be partnering with Supply Chain COE teams, business teams to understand the supply chain needs, collaborate with the IT organization to develop analytical reports. You will also be responsible for delivering of the required solutions used for descriptive, diagnostic, predictive & prescriptive analytics of ISC deliver domain.

Key Activities

Requirement Gathering:

Work with Supply Chain – BPMs, Product owners (Customer ops, Warehouse, Trade – Import, Export, Logistics, S&OE, Network strategy) to understand & document needs

Discuss & align with internal architects/ product owners on the design & implementations of Data analytics solutions using SAP system, MS Azure Data platform and Microsoft PowerBI.

Solution design & development:

Develop new solution – Dashboards, reports, using Power BI

Partner with internal team members to have data transformation using Databricks

Design, develop and maintain data pipelines to extract data from different sources

Fetch and embed data from SAP HANA, BW, Azure SQL, Excel, flat files, SharePoint list, Delta Lake, Databricks etc.

Perform data transformation, Data modeling - [joints, exclusion, enrichment, pivoting, un-pivoting etc.]

Integrate & prepare multi sourced - complex data efficiently

Build scalable, re-usable Data models which can be used by multiple projects

Automate tools/ data flow using best practices in collaboration with internal teams, IM architects and IM consultants

Improve and maintain existing solutions:

Suggest technical improvements / automation ideas for existing Data solutions

Perform required changes and regular data load activities

Test and ensure compatibility of existing solutions upon new software version release

Improve and safeguard Data solution – System performance (latency, downtime)

Educate and train a variety of stakeholders about the dashboard technicalities & features

Work with data governance team and implement data quality checks and maintain data catalogs

Keep detailed technical documentation complete and up to date

Experience

Strong Analytics & data visualization

Ability to perform effective querying involving multiple tables and subqueries.

Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.

Results-driven and ability to handle multiple projects.

Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data.

Strong problem solving, quantitative and analytical abilities.

Understands sensitivity and security questions around data.

Able to act in a complex multinational environment.

Good communication and presentation skills.

Strong interpersonal and time-management skill

Preferred Skills

Skills with data visualization tools like Microsoft PowerBI, Tableau

Knowledge of SAP systems – SD, MM modules

Good To Have Skills

Skills in Azure - Databricks, R, Python, different types of data engineering tools

Potential to learn/ pickup Data engineering in future

At AkzoNobel we are highly committed to ensuring an inclusive and respectful workplace where all employees can be their best self. We strive to embrace diversity in a context of tolerance. Our talent acquisition process plays an integral part in this journey, as setting the foundations for a diverse environment. For this reason we train and educate on the implications of our Unconscious Bias in order for our TA and hiring managers to be mindful of them and take corrective actions when applicable. In our organization, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age or disability.

Requisition ID: 53403