Sr. BI Analyst
Pune, IN
AkzoNobel
We’ve been pioneering a world of possibilities to bring surfaces to life for well over 200 years. As experts in making coatings, there’s a good chance you’re only ever a few meters away from one of our products. Our world class portfolio of...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 Description
1. Purpose of the Job:
About the team
Business Insights 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 Senior BI Analyst is responsible for developing, maintaining, and leading the execution of the analytics solutions to improve performance and achieve the future vision of stakeholders. Senior BI Analyst reports into the Analytics Manager of GBS - Business Insights team
You will be partnering with various business teams to understand the analytics needs, collaborate with the IT organization to build data driven – Analytics solutions. You will also be responsible for the end-to-end delivery of descriptive, diagnostic, predictive & prescriptive analytics solutions for stakeholders.
2. Responsibilities:
Business partnering with all the key senior leaders in the organization to determine opportunities / requirements for Data analytics solutions that can drive revenue growth, operational efficiencies, customer value etc.
Project Management: Should be able to independently manage several projects, track actions and reach out to stakeholders when needed.
Solution design & development:
Develop new solution using BI Tools (Power BI, SAP analytics Cloud)
- Build wireframes, proof-of-concepts
- Translate business logic to technical calculations that will help the technical team to build the metrics
- Fetch and embed data from SAP HANA, BW, Azure SQL, Excel, flat files, Sharepoint list etc.
- Perform data transformation, engineering, [joint, exclusion, enrichment, pivoting, etc.] using SQL, Databricks Pyspark,
- Automate process using Power Automate, Sharepoint list
- Integrate & prepare multi sourced - complex data efficiently
- 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 Analytics solutions
- Test and ensure compatibility of existing solutions upon new software version release
- Improve and safeguard dashboards performance (latency, downtime)
- Educate and train a variety of stakeholders about the dashboard technicalities & features
- Keep detailed technical documentation complete and up to date
3. Challenges:
- Performing numerous analyses on time in full
- Working with confidence and accuracy with big numbers
- Ensuring accurate translation of business needs into data models for management
- Gaining knowledge and understanding of multitude of data sources and database
- Combining analytical skills with broad understanding of operations and processes
- Liaising and building connection with stakeholders from different background remotely
- Working independently and pro-actively with a team based in multiple locations
- Performing numerous analyses accurately and on time in full
4. Job Requirements:
Academic and professional background:
- Bachelors or master’s degree in analytics, Business, or finance from a premier institute
- Minimum 6+ years work experience in Data analytics & visualization roles in a global or multinational environment
Skillset and professional experience:
- Highly skilled in communication and collaboration, with experience in working with cross-functional teams and presenting data insights to executive stakeholders.
- Capable of working independently to identify business problems and opportunities that can be addressed through data analysis.
- Highly skilled in data analysis and modeling, with the ability to work with large datasets and complex data structures.
- Exceptional in creating visualizations in PowerBI (+DAX) that effectively communicate complex data insights to non-technical audience.
- Proficient in using SQL, and other data analysis tools.
- Skilled in programming languages such as PySpark for Databricks, Python or R, with experience in data wrangling, data cleaning, and statistical analysis. Has a deep understanding of data modeling and can work with complex data structures.
- Experience in developing and implementing predictive models to forecast business outcomes and support decision-making.
- Excellent Presentation & PowerPoint skills
- Ability to communicate with and present effectively and remotely to various stakeholders with variable levels of financial or analytical knowledge
7. Key Competencies:
- Results-oriented - You love transforming data into meaningful outcomes
- Curious – You love to understand why things are the way they are, how they work, and aren't afraid to sometimes challenge the status quo
- A structured problem solver – You possess strong organizational skills and consistently demonstrate a methodical approach to your work
- Resilient - When you encounter obstacles you find solutions, not excuses, and you're a champion for others to do the same
- A critical thinker – You use logic to identify opportunities, evaluate alternatives, and synthesize and present critical information to solve complex problems
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Data analysis Data Analytics Databricks Engineering Excel Finance Power BI PySpark Python R SharePoint SQL Statistics
Perks/benefits: Career development
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