Data Analyst

This is a fully remote position, open to applicants in Philippines.

📋 Description

• Overseeing master data, which includes the creation, modification, and removal of information.

• Administering user accounts and their respective roles.

• Ensuring the quality of imported data, collaborating with quality assurance analysts when necessary.

• Initiating and phasing out data sets.

• Handling confidential information in accordance with established guidelines.

• Assisting in the development of reports and analytical insights.

• Managing and designing the reporting framework, which encompasses data sources, security measures, and metadata.

• Aiding the data warehouse in recognizing and revising reporting needs.

• Supporting initiatives aimed at maintaining data integrity and normalization.

• Evaluating tests and implementing new or upgraded software while contributing to strategic decisions regarding new systems.

• Producing reports from one or multiple systems.

• Diagnosing issues within the reporting database environment and associated reports.

• Assessing modifications and updates to source production systems.

• Training end-users on newly developed reports and dashboards.

• Offering technical expertise in data storage architectures, data mining techniques, and data cleansing practices.

⛳️ Requirements

• Curious and genuine, just like us! #beboldr

• Capable of handling multiple tasks and prioritizing effectively.

• Adaptable to changes and highly detail-oriented.

• Proactive and self-driven.

• Strong interest in learning operational analytics processes.

• Comfortable in team-oriented and remote global settings.

• Open to feedback and able to apply it constructively.

• **YOU HAVE… **

• Approximately 3–5 years of experience in data analytics, BI reporting, or operational data support roles.

• Strong proficiency in Sigma as the primary business intelligence tool.

• Experience in dashboard maintenance and operational analytics.

• Working knowledge of Salesforce CRM data.

• Experience in analyzing marketing campaign performance data.

• Ability to work with Google Ads and display advertising datasets.

• Exposure to Snowflake data warehouse environments is a plus.

• Familiarity with marketing automation or customer engagement data platforms is a plus.

• Understanding of data integration or pipeline-support workflows is preferred.

• Comfortable operating within established data systems and collaborating with technical owners for deeper engineering tasks.

• Ability to convey business requirements in simple, non-technical terms.

• A Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Information Management, or a related field is preferred but not mandatory.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for continuous professional development.

• Flexible working hours and remote work options.

• A supportive and collaborative work environment.

• Competitive salary and performance-based incentives.