
Analyst, Applications Development
2 weeks ago
**Data Analyst**
Get to know the role:
We are looking for a Data Analyst to join the digital and innovation team. You will work closely with the data analyst & science and development team to empower our backend services. You will also have opportunities to work on Python development, big data and other modern technology topics including the opportunity to work on transforming raw data into insights that is actionable by the business management
Must haves:
- At least 1-year experience of performing data analysis.
- B.A. or B.S. degree in Computer Science, Computer Engineering, Engineering, Information Systems, Business Analytics, Mathematics, Statistics, Economics, Physic, or other related disciplines that possesses an analytical and quantitative component.
- In depth understanding of querying and manipulating complex raw datasets for analysis using Python and/or SQL
- Experience with data visualization tools (e.g., Tableau, Power BI, Plotly)
- Experienced in cleansing, validating, improving quality of and analyzing data with the purpose of understanding or derive business logic from the data
- Excellent problem-solving skills, with strong technology, analytical skills.
Nice to haves:
- Experience with statistical analysis (e.g., hypothesis testing, probability, regressions etc)
- Experience with data pipeline architecture, ETL and data modeling
- Experience explaining technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses.
- Prior knowledge and experience with these Python libraries - numpy, pandas, sqlachemy, json
**Data Analyst**
Get to know the role:
We are looking for a Data Analyst to join the digital and innovation team. You will work closely with the data analyst & science and development team to empower our backend services. You will also have opportunities to work on Python development, big data and other modern technology topics including the opportunity to work on transforming raw data into insights that is actionable by the business management
Must haves:
- At least 1-year experience of performing data analysis.
- B.A. or B.S. degree in Computer Science, Computer Engineering, Engineering, Information Systems, Business Analytics, Mathematics, Statistics, Economics, Physic, or other related disciplines that possesses an analytical and quantitative component.
- In depth understanding of querying and manipulating complex raw datasets for analysis using Python and/or SQL
- Experience with data visualization tools (e.g., Tableau, Power BI, Plotly)
- Experienced in cleansing, validating, improving quality of and analyzing data with the purpose of understanding or derive business logic from the data
- Excellent problem-solving skills, with strong technology, analytical skills.
Nice to haves:
- Experience with statistical analysis (e.g., hypothesis testing, probability, regressions etc)
- Experience with data pipeline architecture, ETL and data modeling
- Experience explaining technical concepts and analysis implications clearly to varied audiences and be able to translate business objectives into actionable analyses.
- Prior knowledge and experience with these Python libraries - numpy, pandas, sqlachemy, json
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