Talent Data Analyst - Remote

INDI Staffing Services; Ciudad de México; Hybride; MXN 400 000 - 640 000; Plein temps

Résumé du poste

INDI Staffing Services is seeking a Talent Data Analyst to transform raw data into actionable narratives that drive business decisions. You will build dashboards, reports, and data models to illuminate the talent funnel and improve outcomes.

You will work with stakeholders to define KPIs, cleanse data, and deploy insights across analytics tools while maintaining thorough documentation and governance.

Qualifications

• 3+ years of experience developing BI dashboards and reports, analyzing and visualizing data.
• Strong analytical skills with hands-on data delivery mindset.
• Excellent organizational and documentation skills.
• Experience with ETL processes and data integration is a plus.

Responsabilités

• Understand the Talent funnel and architect a data solution from scratch, defining KPIs and metrics.
• Collaborate with stakeholders to identify reporting needs and query data sources.
• Cleanse and shape data, create datasets, reports, and dashboards for requirements.
• Present findings to stakeholders and gather feedback.
• Deploy data, reports and dashboards to data analysis tools per specifications.
• Maintain and document the operational data environment.

Connaissances

Advanced English

Analytical thinking

Organizational skills

Hands-on data mindset

Outils

SSIS

Python

SQL Server

Description du poste

At INDI, we're passionate about empowering individuals and businesses worldwide. Our cutting-edge recruiters connect leading companies with top talent, fostering a dynamic environment where innovation thrives. Join us in shaping the future of work.

Overview of the role:

We are looking for a Talent Data Analyst to join our Talent team. This professional will be responsible for taking raw information – numbers or qualitative data sets – and constructing narratives that help our business colleagues to make better decisions. The primary goal of this position is to take large volumes of complex data from our Talent team, extract insights, and help solve problems.

Key responsibilities:

• Understand the Talent funnel and architect a Data solution from scratch, including the definition of KPIs and metrics.
• Work with stakeholders to understand reporting needs, identifying and querying data sources to get the required data.
• Cleanse and massage data into the shape required, creating datasets, reports, and dashboards to meet requirements.
• Present and gather feedback from stakeholders.
• Deploy data, reports, and dashboards to Data Analysis tools, developing reports according to analyst-defined specifications.
• Maintain and document the operational environment.

Requirements:

• At least 3 years of experience developing Business Intelligence dashboards and reports, analyzing, and visualizing data.
• An understanding of top-of-the-line Data Analysis tools. Previous experience with administration, licensing, security, and deployment is a plus.
• A solid understanding of the concepts involved in modeling relational data.
• Strong analytic skills, with a hands-on approach with the ability to deliver commitments.
• Superior organizational skills, with a disciplined approach to implementation, support, and documentation.
• Experience with ETL of data from a variety of sources using SSIS, Python, or similar technologies (is a plus).
• Knowledge of SQL Server database architecture (components and processes of the database) and/or experience with creating tabular data models in SQL Server (is a plus).
• Advanced English level.
• Flexibility: Choose where and how you work for enhanced creativity and innovation.
• Tailored Compensation: Personalize your earnings to suit your financial goals.
• Tech-Driven Tools: Access cutting-edge resources for seamless collaboration and productivity.
• Autonomous Workflow: Take control of your schedule to achieve work-life balance.
• Well-being: Enjoy generous leave policies for rest and rejuvenation.
• Diversity & Inclusion: Thrive in a diverse and inclusive environment.
• Collaboration: Engage with industry leaders for collective growth.
• Development: Access mentorship and growth opportunities for continuous advancement.