Your customer-centric, performance-driven, trustworthy offshoring partner.
Data Analytics Associate
Location
Philippines
Posted
4 days ago
Salary
₱55K - ₱65K / month
Seniority
Mid Level
Job Description
Data Analytics Associate
eFlexervices
• Design, build, and optimize robust data models within our central data warehouse (Snowflake) • Write and own complex, optimized SQL transformation logic using CTEs, window functions, and advanced joins • Lead the effort to integrate customer, revenue, and product usage identities across critical systems • Manage the performance and cost of our data warehouse including optimization of slow queries • Transform raw event-level data into intuitive, governed tables enabling analysts to use data confidently
Job Requirements
- Minimum of 2 years of daily, expert-level SQL usage for complex data modeling and transformation
- Hands-on experience with Snowflake
- Strong background in a B2B SaaS environment
- Demonstrated ability to apply analytics engineering best practices using tools like dbt
- Minimum of 2 years of industry experience
Benefits
- HMO coverage
- Optical reimbursements
- Flexible vacation and sick leave policies
- Permanent work-from-home setup for those outside Baguio City
- Hybrid work model for those within Baguio City
Related Guides
Related Categories
Related Job Pages
More Data Analyst Jobs
• Manage day-to-day marketing automation operations—campaigns, forms, landing pages, and lead routing. • Maintain and evolve our marketing technology stack, ensuring clean integrations between CRM (Salesforce), automation tools (HubSpot/Marketo), and analytics. • Partner with demand gen, content, and product marketing teams to launch and optimize campaigns that move prospects through the funnel. • Design and maintain lead scoring and journey frameworks to ensure Sales gets high-quality leads with full context. • Build dashboards and reports that measure marketing performance, attribution, and ROI. • Explore and implement AI tools to accelerate campaign creation, personalization, and data management. • Serve as an internal expert on AI-enhanced workflows, championing new ways to work smarter and faster.
• Define and execute the enterprise Data, Analytics, AI, and Automation strategy • Develop and maintain a multi-year roadmap for data modernization • Advise executive leadership on emerging technologies, AI trends, opportunities, and risks • Manage enterprise data platform architecture, including the Enterprise Data Warehouse, Azure Data Lake • Establish enterprise data governance, data quality, and master data management capabilities • Develop enterprise analytics capabilities that improve decision-making • Drive adoption of intelligent automation and AI capabilities to improve productivity • Build, lead, and develop a high-performing organization
• Support enterprise reporting, data analysis, and system integration initiatives across finance and operational platforms • Design, develop, and maintain reports and data pipelines using SQL, Oracle ERP, and ServiceNow systems • Design, build, and maintain custom reports, KPIs, and dashboards to support daily operations and strategic goals • Partner with department leaders to define key metrics, gather reporting requirements, and present findings • Collect raw data from various enterprise systems, ensuring accuracy, consistency, and completeness • Audit data regularly, identify data quality issues, and support data cleansing and standardization initiatives • Reduce manual reporting efforts through automation and document data dictionaries, reporting procedures, and SOPs • Collaborate with corporate finance and IT teams to provide ad hoc support on complex subjects and analytic projects
• Responsible for designing, creating and delivering critical plan performance trend analytics, reports, and insights to clients • Essential to providing a consultative experience to our employer clients that delivers on our promise of bending the medical cost trend • Develop insights for clients that assist them in problem solving, solution development, decision making and strategic planning around their benefits program • Collaborate with Client Management on recommendations and next steps based on trend data, client objectives and Luminare Health offering • Provide analytics support for client, prospect and internal special projects—developing and understanding the relevant data, displaying it clearly and presenting the findings • Key resource in the evolution and support of upgrading overall data analytics and reporting capabilities • Work with Data Analytics owner and other relevant support partners to identify and implement needed tools, processes and capabilities • Partner with Client Management, Data Analytics and Reporting, Healthcare Management, Sales Executives, Product Management, Marketing, Reporting and Business Analysts, IT and other disciplines as needed




