Data Analyst

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Erajaya

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
SQL Talend SSIS Data Mart Analytics Data Extraction ETL

Job Description

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.


Responsibilities

  • Design, build, and maintain the HC data warehouse by integrating data from multiple HR systems (HRIS, payroll, recruitment, performance) into a centralized, reliable data repository
  • Develop and manage ETL/ELT pipelines to automate data ingestion, transformation, and loading processes
  • Write and optimize SQL queries for data extraction, cleansing, transformation, and aggregation
  • Ensure data quality, consistency, and integrity through regular validation, monitoring, and troubleshooting of data pipelines
  • Develop, publish, and maintain interactive dashboards and reports using any BI Tools (Power BI, Metabase, etc) covering key HC metrics
  • Define and standardize HC data models, data dictionaries, and metric definitions to ensure consistency across all reporting outputs
  • Identify opportunities to automate manual reporting processes and improve data workflow efficiency
  • Translate HC business requirements into technical data solutions and analytics deliverables



Qualifications


  • Bachelor's degree in Statistics, Data Science, Information Systems, Business Administration, or a related field
  • Minimum 2-3 years of experience in HR analytics, workforce analytics, or a related data function
  • Strong proficiency in SQL for data querying and analysis
  • Hands-on experience in building and maintaining data warehouses or data marts
  • Proficient in data visualization tools such as Power BI or Tableau
  • Experience with ETL tools or pipeline development (e.g., dbt, SSIS, Talend, or similar) is a plus
  • Experience with HRIS and other HC System is a plus
  • Solid understanding of HR metrics and key performance indicators (KPIs)
  • Structured, disciplined, and able to manage multiple initiatives.



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