Neethu Varghese

Data Specialist @Upwork

Gathering data from various sources such as databases, spreadsheets, APIs, websites, or other systems. They may also be involved in designing data collection methods or processes. Reviewing and verifying the quality and integrity of data by removing errors, inconsistencies, or duplications. This may involve data cleaning, transformation, and normalization techniques. Applying statistical techniques, data mining, and analytical methods to identify patterns, trends, and insights within the data. They may also develop and maintain data models, algorithms, or statistical models to support data analysis. Managing databases and data systems, including data storage, retrieval, backup, and security. This may involve working with database management systems (DBMS) such as MySQL, Oracle, or SQL Server. Creating reports, dashboards, or visual representations of data using tools like Excel, Tableau, Power BI, or other data visualization software. They may present findings and recommendations to stakeholders or management. nsuring data privacy, security, and compliance with relevant regulations (e.g, GDPR, HIPAA) and company policies. They may assist in defining data governance frameworks, data access controls, or data protection measures. Documenting data sources, data dictionaries, data flows, and data processes. They may also contribute to developing data standards, data management guidelines, or best practices. Collaborating with cross-functional teams, such as IT, business analysts, or data scientists, to understand data needs, requirements, and objectives. They may also communicate complex data concepts or findings to non-technical stakeholders effectively. Staying up-to-date with the latest industry trends, tools, and techniques related to data management, analysis, and visualization. They may suggest and implement process improvements or automation to enhance data quality, efficiency, or accuracy.