Want to get hired at INDI Staffing Services?

Talent Data Analyst

INDI Staffing Services

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Original Job Summary

Overview of the Role

At INDI Staffing Services, we are passionate about empowering individuals and businesses worldwide. As a Talent Data Analyst, you will transform raw data into actionable insights to help business colleagues make informed decisions.

Key Responsibilities

  • Architect a data solution including KPI and metric definition
  • Collaborate with stakeholders and query data sources
  • Cleanse, massage data and create datasets, reports, and dashboards
  • Present findings and gather stakeholder feedback
  • Deploy reports and dashboards to data analysis tools
  • Maintain and document the operational environment

Requirements

  • Minimum of 3 years developing Business Intelligence dashboards and reports
  • Experience with advanced data analysis tools and techniques
  • Solid understanding of relational data modeling concepts
  • Strong analytical and organizational skills
  • Experience with ETL tools and technologies like SSIS or Python (a plus)
  • Knowledge of SQL Server database architecture and tabular data models (a plus)
  • Advanced level of English

Benefits

  • Flexibility to choose your working style
  • Tailored compensation to match your financial goals
  • Access to cutting-edge tech-driven tools
  • Autonomous workflow for work-life balance
  • Generous leave policies
  • Diverse and inclusive work environment
  • Collaboration with industry leaders
  • Mentorship and continuous development opportunities

Key skills/competency

  • Data Analysis
  • Business Intelligence
  • Dashboard Development
  • SQL
  • ETL
  • Reporting
  • Data Visualization
  • Data Modeling
  • Stakeholder Management
  • Python

How to Get Hired at INDI Staffing Services

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant BI and SQL experience.
  • Research INDI Staffing Services: Understand their mission and values.
  • Prepare for technical questions: Review ETL, data modeling, and dashboard development.
  • Practice stakeholder communication: Emphasize collaborative projects.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and relational modeling basics.
Practice Python and ETL task workflows.
Experiment with BI and dashboard tools.
Study data cleansing and report creation.

Behavioral Questions

Describe past team collaboration experiences.
Explain handling stakeholder feedback challenges.
Illustrate problem-solving with data narratives.
Discuss organization and time management examples.