Talent Data Analyst
INDI Staffing Services
Job Overview
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Job Description
Talent Data Analyst at INDI Staffing Services
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.
Benefits:
- 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.
If you are interested in being part of a team composed of the best professionals and working 100% goal-oriented in an innovative environment, but with the structure and resources of a multinational market leader, do not hesitate to apply!
Key skills/competency
- Talent Data Analysis
- Business Intelligence Dashboards
- Data Visualization
- Data Analysis Tools
- Relational Data Modeling
- SQL Server
- ETL
- Python
- SSIS
- Stakeholder Management
How to Get Hired at INDI Staffing Services
- Tailor your resume: Highlight your 3+ years of experience in BI dashboard development, data analysis, and visualization. Emphasize your skills in SQL, Python, SSIS, and relational data modeling.
- Showcase technical skills: Clearly list your proficiency with data analysis tools and any experience with SQL Server database architecture or tabular data models. Mention ETL experience.
- Address requirements directly: Ensure your application explicitly states your advanced English level and your ability to deliver commitments with superior organizational skills.
- Highlight problem-solving: In your cover letter or resume, provide examples of how you've used data to solve problems and construct narratives for business colleagues.
- Emphasize collaboration: Mention your experience working with stakeholders to understand reporting needs and gathering feedback on data deployments.
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