Talent Data Analyst - Remote

Jamefy; Recife; Hybrid; BRL 90,000 - 150,000; Full time

Benefits offered by this job

Tailored compensation

Tech-driven tools

Autonomous workflow

Generous leave

Diversity & inclusion

Collaboration with leaders

Mentorship & growth

Job summary

INDI is seeking a Talent Data Analyst to transform raw data into actionable insights for our Talent team. You will build dashboards, define KPIs, and partner with stakeholders to shape evidence-based decisions.

You will design data solutions from scratch, cleanse data, create reports, and deploy analyses across BI tools while maintaining documentation and governance. Advanced English is required, and flexibility in where you work is encouraged to support creativity and collaboration across teams

Qualifications

• At least 3 years of experience developing BI dashboards and reports, analyzing, and visualizing data.
• Experience with data analysis tools; familiarity with administration, licensing, and deployment is a plus.
• Solid understanding of relational data modeling concepts.
• Strong analytic skills with a hands-on approach to delivering commitments.
• Excellent organizational skills and a disciplined approach to implementation, support, and documentation.
• Experience with ETL of data from multiple sources using SSIS, Python, or similar tools.
• Knowledge of SQL Server architecture and/or creating tabular data models in SQL Server.
• Advanced English proficiency.
• Flexibility: choose where and how you work to optimize creativity and innovation.
• Tailored compensation: personalize earnings to match goals.
• Tech-driven tools: access cutting-edge resources for collaboration and productivity.
• Autonomous workflow: control your schedule for work-life balance.
• Well-being: generous leave policies.
• Diversity & Inclusion: thrive in an inclusive environment.
• Collaboration: engage with leaders for growth.
• Development: mentorship and growth opportunities.

Responsibilities

• Understand the Talent funnel and architect a data solution from scratch, including KPI and metrics definition.
• Collaborate with stakeholders to understand reporting needs and identify data sources.
• Cleanse and transform data into datasets, reports, and dashboards.
• Present findings and gather stakeholder feedback.
• Deploy data, reports, and dashboards to Analysis tools according to specifications.
• Maintain and document the operational data environment.

Skills

BI dashboards

Data visualization

Analytical skills

SQL querying

Python

ETL processes

Tools

SSIS

SQL Server

Job description

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.