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    • Ensure data governance, quality assurance, and regulatory compliance by maintaining secure data management practices, documenting analytical methodologies,…
    • View all SOLARIS COLLECTIVE PTE. LTD. jobs - Geylang jobs
    • Salary Search: Data Analyst salaries in Geylang
    • Help deliver accurate, reliable data products.
    • Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and…
    • Collaborate with data engineers, businesses, and operation teams to provide statistics or business data that can help to drive business insights.
    • Contribute to thecontinual improvement of our internal data models; build and maintain SQL datamodels and transformations on top of the data marts provided by…
    • Data processing: ETL, data integration, data cleansing, and data validation.
    • In accordance with plan, performs/executes data collection and analysis procedures…
    • Degree in Statistics, Mathematics, Engineering or related field with experience in business intelligence and analytics platforms such as Oracle Business…
    • You'll conduct web-based evaluations to verify data accuracy, compare information across sources, and ensure the mapping content powering global navigation…
    • Experience in data analysis and data collection required.
    • Collaborate with data engineers, product managers, and operation teams to provide statistics or…
  • View similar jobs with this employer
    • Experience using Databricks, SQL, and data warehousing concepts for data analysis and reporting is preferred.
    • The role designs and delivers reports, dashboards,…
    • Support relevant data collection/ exploitation required to develop operational models.
    • IMH is looking for interns with background in operations research and…
    • Map and reconcile data between Vortexa’s internal datasets and external data sources or third-party providers.
    • Working knowledge of Python.
    • Maintain data accuracy and integrity.
    • Support stakeholders with data-driven insights.
    • Collect, clean, and analyze data.
    • Proficiency in SQL, Excel, and BI tools.
    • Data processing: ETL, data integration, data cleansing, and data validation.
    • In accordance with plan, performs/executes data collection and analysis procedures…
    • Experience handling large datasets and multiple data sources.
    • Previous experience in data analysis, business indicator analytics is preferred.
    • Understanding of data governance and data quality frameworks.
    • Experience in data cleaning, validation, and data modelling.

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data analyst intern
Data Analyst
$3,600 - $3,800 a month
Full-time

Job details

$3,600 - $3,800 a month
Full-time
Geylang

Full job description

Collect, clean, validate, and integrate data from the company's Learning Management System (LMS), mobile learning platform, user databases, surveys, and other internal sources to ensure data accuracy, completeness, and consistency for business reporting and decision-making.

Develop interactive dashboards and performance reports using business intelligence and data visualization tools to monitor learner engagement, course completion rates, training effectiveness, user adoption, operational KPIs, and organizational performance for management review.

Develop interactive dashboards and performance reports using business intelligence and data visualization tools to monitor learner engagement, course completion rates, training effectiveness, user adoption, operational KPIs, and organizational performance for management review.

Perform statistical and predictive data analysis to evaluate the effectiveness of AI-powered learning solutions, forecast learner participation, identify at-risk learners, and support continuous improvement initiatives through data-driven insights.

Collaborate with business, product, training, and technology teams to understand reporting requirements, define key performance indicators (KPIs), automate data collection processes, and deliver analytical insights that support strategic planning and product enhancement.

Ensure data governance, quality assurance, and regulatory compliance by maintaining secure data management practices, documenting analytical methodologies, performing regular data audits, and safeguarding confidential organizational and customer information while supporting business intelligence initiatives.
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