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

Category: Technology

Location: Pasig City National Capital Region (Manila) Philippines

Analyze and interpret complexdata sets to provide actionable insights and recommendations.

·Develop, maintain, and optimizePower BI reports and dashboards for various stakeholders throughout theorganization.

·Manage and maintain dataintegrity within Azure Data Lake.

·Collaborate with IT andbusiness teams to define data requirements and ensure data accuracy.

·Perform data cleansing,transformation, and integration tasks.

·Support data governanceinitiatives and ensure compliance with data policies.

·Provide training and support toend-users on data tools and technologies.

·Stay current with industrytrends and best practices in data analysis and data management.

Requirements

Bachelor’s degree inInformation Technology, Computer Science, Data Science, or a related field.

·Minimum of 5 years ofexperience in data analysis or a related role.

·Strong analytical andproblem-solving skills.

·Excellent communication skills,both written and verbal.

·Ability to work independentlyand as part of a team

Technical Requirements

• Proficiency in Microsoft PowerBI for data visualization and reporting.
• Experience working with AzureData Lake for data storage and management.
• Strong SQL skills for queryingand manipulating data.
• Knowledge of data modeling andETL processes.
• Experience transformingdatasets using Azure Databricks.
• Experience with programminglanguages such as Python or R.
• Familiarity with datawarehousing concepts and tools.
• Experience with data governanceand data quality principles.

Other Miscellaneous Qualities

• Strong attention to detail andaccuracy.
• Ability to manage multipletasks and meet deadlines.
• Proactive and self-motivatedwith a continuous improvement mindset.
• Aptitude for learning newtechnologies and staying current with industry trends.
• Strong interpersonal skills andability to collaborate with cross-functional teams.

* Experience as a business analyst is preferred.

Details Originally posted on Himalayas