Arcadis, a prominent company in the field of design, consulting, and engineering, is currently offering an exciting opportunity for the role of Graduate Data Analyst in Bangalore. The ideal candidate for this position should possess a Bachelors or Masters degree in Math, Statistics, Computer Science, Engineering, or another technical field. Arcadis is seeking individuals with 0 to 2 years of experience, making it an excellent opportunity for fresh graduates looking to kickstart their career in data analysis. The chosen candidate will be based in the vibrant city of Bangalore, known for its thriving tech industry and innovation ecosystem.
Company Name: Arcadis
Job Role: Graduate Data Analyst
Education Required: Bachelors/Masters in Math, Statistics, Comp Science, Engineering, or another technical field.
Experience Required: 0 – 2 years
Job Location: Bangalore
Role and Responsibilities:
- Proficient in using Microsoft suite of technologies, such as Power BI, Power Apps, Power Automate, to solve complex business problems.
- Manipulate, transform, and analyse data sets that are large and complex.
- Build mathematical models in Python or R.
- Proficient in RDBMS – SQL.
- Plan, gather, analyse 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.
Required Skills and Qualification:
- Bachelors/Masters in Math, Statistics, Comp Science, Engineering, or another technical field.
- Experience required: 0 – 2 years.
- 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 analysing 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 modelling (e.g. decision trees, regressions).
