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

Posted 2 Months Ago
Be an Early Applicant
Pasig City, Metro Manila, National Capital Region, PHL
In-Office
140K-140K Annually
Senior level
Professional Services • Consulting
The Role
Analyzes complex datasets and delivers actionable insights through Power BI reports and dashboards. Maintains Azure Data Lake integrity, performs data cleansing and transformation, supports ETL and governance initiatives, and collaborates with IT and business stakeholders on data requirements and accuracy. Provides user training and support while staying current with data management practices. Requires strong SQL, Azure Databricks, Python or R, data modeling, warehousing, and data quality expertise.
Summary Generated by Built In
·       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.


Skills Required

  • Bachelor’s degree in Information Technology, Computer Science, Data Science, or a related field
  • At least 5 years of experience in data analysis or a related role
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to work independently and collaboratively
  • Proficiency with Microsoft Power BI for data visualization and reporting
  • Experience with Azure Data Lake
  • Strong SQL skills for querying and manipulating data
  • Knowledge of data modeling and ETL processes
  • Experience transforming datasets using Azure Databricks
  • Experience with Python or R
  • Familiarity with data warehousing concepts and tools
  • Experience with data governance and data quality principles
  • Experience as a business analyst
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The Company
HQ: Santa Clara, CA
750 Employees
Year Founded: 2018

What We Do

OutForce is an Australian-owned and managed BPO company based in the Philippines. It provides professional offshore staffing and facilities solutions, helping organizations develop offshore operations, scale affordably, and improve efficiency. Its services span recruitment and HR, payroll, IT support, compliance, and AI-driven hiring, with secure infrastructure and optimized processes designed to deliver capable teams and business continuity for growing businesses worldwide.

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