Data Analyst

3 days ago


Manila, National Capital Region, Philippines ECLARO Full time

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ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

About the Role:

We are seeking a Data Analyst to join our growing Data Team. This role will support the data development lifecycle by working closely with business partners, IT teams, and external vendors to gather and analyze requirements, perform data mapping and analysis, assist with testing and review processes, and create release notes. The ideal candidate will have experience with cloud data technologies, particularly within the Microsoft Azure ecosystem. Experience in P&C Commercial Insurance and data-related projects in the insurance sector is a plus. This role offers growth opportunities into senior data-focused positions, exposure to strategic data initiatives, and continuous learning in cloud data technologies.

Key Responsibilities:
  1. Requirement Gathering and Analysis:
  • Collaborate with business stakeholders and vendors to understand and document data requirements.
  • Perform detailed data analysis to support project initiatives and identify gaps.
  • Conduct data mapping exercises between various source and target systems.
  • Translate business needs into technical specifications for development teams.
Data Lifecycle Support:
  • Assist in the development, validation, and testing of data pipelines and workflows.
  • Ensure data accuracy, integrity, and compliance with business rules and governance policies.
  • Support end-to-end project lifecycle by providing insights on data trends and anomalies (data analytics).
  • Conduct root cause analysis of data issues and work on resolution strategies.
Testing and Quality Assurance:
  • Participate in data validation and reconciliation activities during system implementations.
  • Work closely with QA teams to define test cases and validate expected results.
  • Document test findings and track issues to resolution.
Documentation and Communication:
  • Prepare release notes and technical documentation for system enhancements.
  • Create user guides, data dictionaries, and training materials for business users.
  • Communicate findings, insights, and recommendations effectively across technical and non-technical teams.
Data Governance and Compliance:
  • Ensure adherence to data governance policies and regulatory requirements such as GDPR, HIPAA, SOC 2, and NAIC data regulations.
  • Support data security initiatives and follow best practices for handling sensitive information.
Collaboration and Stakeholder Engagement:
  • Act as a liaison between IT, business users, and third-party vendors.
  • Assist with change management efforts and adoption of data solutions.
Qualifications & Experience:

Required:

  • Bachelor's degree in information technology, Business Analytics or a related field, or equivalent experience.
  • 3+ years of experience working on teams that build and support modern data repositories (data lake, data warehouse, data Lakehouse).
  • Experience with cloud data platforms (Snowflake, Talend), experience with Microsoft Azure a plus (Fabric, Azure Data Factory, Azure Synapse, Azure SQL, Power BI).
  • Proficiency in SQL for data querying, analysis, and reporting.
  • Familiarity with data visualization tools and techniques (Power BI preferred).
  • Experience working with structured and unstructured data across diverse sources.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent written and verbal communication skills.

Preferred:

  • Experience in P&C Commercial Insurance or other insurance domains, including working with insurance data models related to underwriting, claims processing, and policy management.
  • Certifications such as Microsoft Certified: Azure Data Fundamentals, Azure Power BI Analyst or equivalent are a plus.
  • Knowledge of industry standards and regulatory requirements related to data (e.g., GDPR, NYDFS, SOC 2, NAIC).
  • Exposure to ETL processes and tools, including experience with data integration across enterprise systems.
  • Understanding of API interactions using tools such as Postman or SoapUI.
  • Familiarity with agile methodologies and tools like Jira and Confluence for managing project work.
  • Opportunity to work with advanced data tools such as Snowflake, Databricks, and Microsoft Fabric.
Key Skills:
  • Technical Proficiency: SQL, Azure Data Services, Power BI, ETL tools.
  • Business Acumen: Understanding of insurance data processes and reporting requirements.
  • Communication: Ability to convey technical information clearly to business stakeholders.
  • Collaboration: Proven ability to work in cross-functional teams.
  • Problem-Solving: Analytical mindset to troubleshoot data issues and propose solutions to changes with the data model structure.

Your work will directly impact key business decisions and strategic goals within the organization.

Seniority level

Associate

Employment type

Full-time

Job function

Administrative

Industries

Outsourcing and Offshoring Consulting

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