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Senior IT Data Analyst || WFH || Up to PHP140K

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Summary

Senior IT Data Analyst analyzing complex datasets to deliver insights, building and optimizing Power BI reports and dashboards, and maintaining data integrity in Azure Data Lake. Requires 5+ years in data analysis with strong SQL, Azure Databricks, ETL, and Python or R skills; WFH role based in the Philippines.

· Analyze and interpret complex data sets to provide actionable insights and recommendations.
· Develop, maintain, and optimize Power BI reports and dashboards for various stakeholders throughout the organization.
· Manage and maintain data integrity within Azure Data Lake.
· Collaborate with IT and business teams to define data requirements and ensure data accuracy.
· Perform data cleansing, transformation, and integration tasks.
· Support data governance initiatives and ensure compliance with data policies.
· Provide training and support to end-users on data tools and technologies.
· Stay current with industry trends and best practices in data analysis and data management.



Requirements


· Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field.
· Minimum of 5 years of experience in data analysis or a related role.
· Strong analytical and problem-solving skills.
· Excellent communication skills, both written and verbal.
· Ability to work independently and as part of a team

Technical Requirements
· Proficiency in Microsoft Power BI for data visualization and reporting.
· Experience working with Azure Data Lake for data storage and management.
· Strong SQL skills for querying and manipulating data.
· Knowledge of data modeling and ETL processes.
· Experience transforming datasets using Azure Databricks.
· Experience with programming languages such as Python or R.
· Familiarity with data warehousing concepts and tools.
· Experience with data governance and data quality principles.

Other Miscellaneous Qualities
· Strong attention to detail and accuracy.
· Ability to manage multiple tasks and meet deadlines.
· Proactive and self-motivated with a continuous improvement mindset.
· Aptitude for learning new technologies and staying current with industry trends.
· Strong interpersonal skills and ability to collaborate with cross-functional teams.
* Experience as a business analyst is preferred.


See also

Data Analytics jobs by country — openings, pay and top skills →

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