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Job benefits
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Medical insurance
To ensure your health and wellbeing, you have various medical plans to choose from depending on your situation and unique needs. From partial up to full medical coverage, we got you covered.
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Vacation & Leaves
Feel a need for a short break from work? our company is quite flexible when it comes to leaves; be it for vacation, sick, personal, or mental health days. Simply discuss what you need and we will try to cater to those.
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Professional Development
Every employee is an invaluable asset to any team; that's why we want to help you grow. Level up your skills and expertise through our professional co-development programs with notable organizations. We will cover the cost.
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Skills
Job description for Data Analyst at Wall Street English
Data Analyst Responsibilities:
- Managing master data, including creation, updates, and deletion.
- Managing users and user roles.
- Provide quality assurance of imported data, working with quality assurance analysts if necessary.
- Commissioning and decommissioning of data sets.
- Processing confidential data and information according to guidelines.
- Helping develop reports and analysis.
- Managing and designing the reporting environment, including data sources, security, and metadata.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Supporting initiatives for data integrity and normalization.
- Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
- Generating reports from single or multiple systems.
- Troubleshooting the reporting database environment and reports.
- Evaluating changes and updates to source production systems.
- Training end-users on new reports and dashboards.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
Data Analyst Requirements:
- Bachelor’s degree from an accredited university or college in computer science.
- Work experience as a data analyst or in a related field.
- Ability to work with stakeholders to assess potential risks.
- Ability to analyze existing tools and databases and provide software solution recommendations.
- Ability to translate business requirements into non-technical, lay terms.
- High-level experience in methodologies and processes for managing large-scale databases.
- Demonstrated experience in handling large data sets and relational databases.
- Understanding of addressing and metadata standards.
- High-level written and verbal communication skills.
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