Company: | SIEMENS |
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Job Role: | Data Analyst. |
Experience: | Freshers. |
Vacancy: | 30+ |
Qualification: | Bachelors Degree or related skills. |
Salary: | C$ 256,900/year. |
Location: | Oakville - Canada. |
Join us on Telegram | Click Here |
Apply Mode: | (Online) |
Deadline: | Not Mentioned |
- Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
- Solve the world’s most significant problems – Be part of exciting and innovative projects.
- Engaging, challenging, and fast evolving, cutting edge technological environment.
- Opportunities to advance your career and mentorship programs on a local and global scale.
- Competitive total rewards package.
- Profit sharing available.
- Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
- Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
- Participate in our celebrations, social events and offsite business events.
- Opportunities to contribute your innovative ideas and get paid for them!
- Employee perks and discounts.
- Diversity and inclusivity focused.
- Working closely with the hiring manager and the financial team, you will be trained in the Business Intelligence (BI) tool/s and apply knowledge and learnings to support the team.
- Apply tools and techniques to visualize data in easy-to-understand formats, such as diagrams and graphs.
- Work closely with different data teams and other stakeholders including Product Managers, Pricing Team, Partner Management team, Sales Teams and the Material Master team
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Develop applications to automate consumption of data files for internal application.
- Utilize corporate data platforms and support and maintain regional data for Product master data & Product Pricing automation.
- Support the ecommerce & Digital Business initiatives with regards to Data and data visualization
- Perform data extraction, storage, manipulation, processing, and analysis using SQL and other query & scripting languages.
- Offer solutions or services based on existing portfolio of present IT solutions such as SAP and provide consultancy to the business.
- Apply AI & Machine Learning algorithms and statistical models where applicable.
- Manage expectations of business/IT stakeholders during the implementation of IT demands/projects (deliverables + timeline).
- Maintain detailed relevant understanding of key technologies/platforms and processes that support the business.
- Communicate with stakeholders to understand data content and business requirements.
- Handover IT solution/application on its completion to the support team and train stakeholders.
- Degree or diploma in Computer science, Data science, Data Analytics, Statistics or related field.
- Demonstrated leadership or initiative with a growth mindset, and a passion for learning
- Collaborative with an ability to cultivate relationships and networks
- Agile, technically savvy, with a knack at creating solutions
- Creative thinker with a unique ability for resourcefulness
- Relevant data analysis experience with IT and Programming knowledge ideally gained through Co-Op program / experience
- Experience working in small/medium sized data migration projects
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SQL, SSIS, SAS, etc.)
- Strong knowledge and experience with BI Tools (Power BI, Tableau, Qlik Sense), databases (SQL), programming (Phyton/R)
- Skills / experience in SQL joins, sub queries, tracing, and performance tuning for better running of queries
- Strong knowledge in IT technologies (Microsoft Windows/SQL server) and Microsoft cloud tools
- Skills / experience in application development and knowledge of application development technologies
- Working knowledge of SAP is a plus
- Working knowledge of ML & Statistical Models is a plus
- Ability to train others, facilitation and demonstration skills and abilities
How to Apply Click on the Below link, it will redirect you to source Page and apply there.
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