Officer-People Analytics
Indosat
- Full Time
- Kota Adm. Jakarta Pusat
- Rp 3.000.000 – 4.000.000
- Diposting 1 tahun yang lalu
Deskripsi pekerjaan
Employment Status: Permanent
Department: Group HR Operations & People Analytics
Description:Join IOH as a People Analytics Officer and be at the forefront of transforming HR data into actionable strategic insights. In this crucial role, you will leverage data to drive decision-making processes across HR and business functions. Your expertise in analytics not only supports the HR team but also contributes to the overall success of the organization by enabling data-informed strategies that enhance workforce effectiveness and engagement.
Key Responsibilities
1. Reporting & Dashboarding
Design, develop, and maintain interactive HR dashboards using leading analytics tools like Power BI, Tableau, or Looker Studio, ensuring that stakeholders have access to meaningful and real-time data insights.
Deliver both recurring and ad-hoc reports to HR Business Partners (HRBPs) and senior leadership, facilitating informed decision-making across different levels.
Ensure data accuracy and integrity through comprehensive validation and quality assurance processes, maintaining the highest standards of data management.
2. Advanced Analytics & Predictive Modeling
Build and implement predictive models to forecast critical HR metrics and trends, such as attrition risk and absenteeism, thus providing essential insights for proactive HR interventions.
Develop prescriptive analytics that offer data-driven recommendations for HR initiatives, helping the organization respond strategically to workforce changes.
Conduct exploratory data analysis (EDA), statistical analysis, and apply machine learning techniques as needed, promoting innovative approaches in HR analytics.
3. Data Management & Automation
Create automated data pipelines for efficient data extraction and transformation from HR Information Systems (HRIS) and other relevant databases, streamlining workflows and increasing productivity.
Maintain well-documented analytics workflows to ensure scalability and continuity, enabling seamless transitions and knowledge sharing within the team.
4. Stakeholder Collaboration
Collaborate with HRBPs, HR teams, and business leaders to understand data needs, empowering stakeholders to transform data insights into actionable strategies.
Present complex analytics clearly and compellingly to both technical and non-technical audiences, ensuring that insights are accessible and understood across all levels of the organization.
Qualifications
Education
Bachelor’s degree in Statistics, Mathematics, Computer Science, Information Systems, Industrial Engineering, Quantitative Psychology, or a related field is required.
Experience
1–3 years of experience in data analytics, business intelligence, or data science, with a preference for experience in HR analytics.
Required Skills
Proficiency in SQL and familiarity with one or more business intelligence tools (e.g., Power BI, Tableau, Looker) is essential.
Hands-on experience with Python or R for data analysis and machine learning will be considered a major asset.
A solid understanding of predictive algorithms, including logistic regression, decision trees, and random forests, is necessary for success in this role.
Strong skills in data visualization, insight generation, and data storytelling are critical, helping to bridge the gap between data analysis and business strategy.
Familiarity with HR data structures and key HR metrics (e.g., headcount, turnover, absenteeism, engagement) will significantly enhance your effectiveness.
Preferred Qualifications
Experience working with HRIS platforms such as Workday, SAP, Oracle, or Talenta is a plus.
Certifications in data analytics from recognized institutions (e.g., Google Data Analytics, Microsoft Certified Data Analyst) will be favorably viewed.
Experience with data pipeline or ETL tools (e.g., Alteryx, dbt, Apache Airflow) is an advantage, promoting efficiencies in data workflows.
Success Indicators
Increased adoption and usage of HR dashboards among stakeholders, reflecting the value of analytics.
Successful implementation and utilization of predictive models that enhance strategic HR decision-making.
A measurable reduction in manual reporting time through automation and the development of self-service analytics capabilities.
By joining IOH, you will become a part of a dedicated team that values innovation, collaboration, and continuous improvement. We encourage individuals from diverse backgrounds to apply, as we believe that a varied workforce enhances creativity and drives better business outcomes.
Lokasi kerja
L. Medan Merdeka Barat No.21, Rt.2/Rw.3, Gambir, Kecamatan Gambir, Kota Jakarta Pusat, Daerah Khusus Ibukota Jakarta 10110, Jakarta, Indonesia 10110.
Mantra.
