People Performance - Data Analyst

Reposted 3 Days Ago
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Bogotá, Distrito Capital, COL
In-Office
Mid level
Information Technology • Consulting
The Role
The role involves managing data infrastructure, automating ETL processes, developing data models and reports, and ensuring data accuracy for performance evaluations.
Summary Generated by Built In

We are:
Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?
Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Key Responsibilities

Data Engineering & Processing (Technical Focus)

  • BigQuery Management: Monitor and optimize People data infrastructure, ensuring query performance and system stability.
  • Pipeline Automation: Develop and maintain ETL/ELT processes to integrate data from multiple sources (Lattice, payroll, internal systems) into unified models.
  • Data Cleaning & Preparation: Execute rigorous data cleaning and preparation processes on complex datasets to ensure accuracy and consistency in performance reporting.

Tactical Analytics & Tooling (Execution Focus)

  • Data Solutions Development: Translate technical requirements from the People Performance team into functional data models, dashboards, and reports.
  • Technical Support in Performance Cycles: Ensure data integrity during appraisal processes, providing key reports for calibration sessions and compensation reviews.
  • Technical Documentation: Create and maintain documentation for data models and tools to ensure operational continuity.

Must-have Skills

Technical Mastery (Mid-Senior)

  • Data Engineering: Strong experience in Python, advanced SQL, and Spark for processing large-scale datasets.
  • Cloud Ecosystem: Proficiency in Google Cloud Platform (BigQuery) with experience managing data infrastructure.
  • Tactical Visualization: Expertise in Looker Studio, Power BI, or similar tools for building operational dashboards.
  • Experience with Digital Tools: Strong ability to configure and maximize niche tools (Lattice, DataCamp, PSA) and the Google Workspace suite.
  • AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows

Mindset & Values (Core Requirements)

  • Motivated and Collaborative: Proactive in solving technical problems and comfortable working closely with the People team.
  • Alignment with Team Goals: Commitment to a meritocratic culture and the strategic objectives of the People Performance team.
  • Technical Communication: Ability to clearly and effectively explain data processes (English B2+).

Main Success Metrics:

  • Data Availability: Uptime and availability of dashboards and data engines.
  • Data Accuracy: Zero errors in data consolidation for compensation and performance cycles.
  • Efficiency Gains: Reduction of manual time spent on HR data processing through automation.

What we offer:

  • A High-Impact Environment
  • Commitment to Professional Development
  • Flexible and Collaborative Culture
  • Global Opportunities
  • Vibrant Community
  • Total Rewards

*Specific benefits are determined by the employment type and location.

Find out more about our culture here.

Skills Required

  • Strong experience in Python
  • Advanced SQL skills
  • Proficiency in Google Cloud Platform (BigQuery)
  • Experience with data visualization tools like Looker Studio or Power BI
  • Ability to work with Digital Tools (Lattice, DataCamp)
Am I A Good Fit?
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The Company
1,444 Employees
Year Founded: 2014

What We Do

Wizeline, a global technology services provider, builds the best digital products and platforms at scale. We focus on measurable outcomes, partnering with our customers to modernize core technologies, mature data-driven capabilities, and improve user experience.

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