Arcadis Off Campus Drive 2024
Arcadis is the world’s leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world’s most complex challenges and deliver more impact together.
Arcadis Off Campus Drive 2024 Details
| Job Role | Graduate Data Analyst |
| Qualification | BE/B.Tech |
| Experience | 0 – 2 years |
| Job Location | Bangalore |
| Package | 4-6 LPA |
Role description
We are now recruiting talented individuals to fill our current vacancy for Data Analyst (US Projects) to work on our projects being based in Bangalore.
Role Accountabilities
- Proficient in using the Microsoft suite of technologies, such as Power BI, Power Apps, Power Automate, to solve complex business problems.
- Manipulate, transform, and analyze data sets that are large and complex.
- Build mathematical models in Python or R
- Proficient in RDBMS – SQL
- Plan, gather, analyze, and document user and business information.
- Incorporate, integrate, and interface technical knowledge with business/systems requirements.
- Collect and organize data, data warehouse reports, spreadsheets, and databases for analytical reporting.
- Data collection, data input, monitoring, maintaining, and reporting.
Qualifications & Experience
- Bachelors/Masters in Math, Statistics, Comp Science, Engineering, or another technical field.
- Experience required: 0 – 2 years
Required Competencies
- Possess strong quantitative and qualitative research and analytical skills
- Ability to communicate analysis with clarity and precision. An ideal candidate would have a strong grasp of both technical and business perspectives.
- Ability to adapt quickly in handling multiple/evolving tasks as a result of new engagements and/or reprioritized deadlines
- Hands-on experience in developing dashboards using BI tools.
- Proficiency in analyzing data using R and/or Python.
- Good understanding of statistical analysis and hypothesis testing.
- Experience in basic statistical methodology: e.g. clustering and testing, predictive modeling (e.g. decision trees, regressions)
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