{role_name} job description

How to craft a job brief that attracts top talent?

  • The job title should be clear and precise to attract the right candidates.
    • To attract a small, specialized candidate pool, use more specific job titles:
      • Data Visualization Specialist
      • Power BI Developer
      • SQL Data Analyst
    • Use when seeking highly skilled candidates with specific expertise (e.g., Power BI Developer if your organization needs a candidate with deep knowledge of this tool).
    • To attract a large candidate pool, use broader job titles:
      • Business Intelligence Analyst
      • Data Analyst
      • Data Engineer
    • Use when the organization can benefit from a larger pool of candidates with varied experience (e.g., Data Analyst when searching for a candidate with general data skills).
  • The job summary should provide a high-level overview of the role, the company, and the impact the role will have on the organization. It should be enticing enough to grab the attention of top talent.
  • A detailed list of responsibilities and requirements helps candidates understand what is expected of them. Include both technical skills (hard skills) and non-technical skills (soft skills).
  • Top talent seeks more than just a job; they want growth and a supportive culture. Highlighting your company’s culture and benefits can make your job description stand out.
  • Encourage candidates to apply by including a call to action at the end of the job description. Make it easy for them to understand how to apply and what the next steps are.

Sample job description for {role_name}

  • Job Title: Business Intelligence Developer
  • Job Summary:
    We are looking for an experienced Business Intelligence Developer to join our team. You will play a crucial role in designing and implementing data solutions that help drive data-driven decision-making across the organization. You will collaborate with cross-functional teams to create dashboards, reports, and data visualizations that provide insights into business performance and identify trends. The ideal candidate will have a strong background in data analysis, excellent problem-solving skills, and experience with BI tools like Power BI and Tableau.
  • Requirements:
    • Bachelor’s degree in Computer Science, Information Systems, or a related field
    • 3+ years of experience in a BI Developer or Data Analyst role
    • Proficiency in BI tools such as Power BI, Tableau, or similar
    • Strong SQL skills and experience with data modeling and querying
    • Familiarity with ETL processes and data warehousing
    • Experience with data visualization and reporting techniques
    • Strong communication and collaboration skills
  • Responsibilities:
    • Develop, maintain, and manage BI tools like Power BI and Tableau
    • Collaborate with stakeholders to understand data requirements and objectives
    • Design and implement dashboards and reports that provide actionable insights
    • Perform data modeling, create ETL processes, and ensure data integrity
    • Analyze large datasets to identify trends, inefficiencies, and business opportunities
    • Provide training and support to teams on using BI tools and interpreting data
  • Must-Have:
    • Expertise in SQL and BI tools (Power BI, Tableau, etc.)
    • Experience working with large datasets and data warehouses
    • Knowledge of data modeling and ETL processes
    • Strong problem-solving and analytical skills
    • Ability to translate business requirements into data solutions
  • Soft Skills:
    • Analytical Thinking: Ability to interpret complex data and derive actionable insights.
    • Problem-Solving: Find solutions to data-related challenges and improve processes.
    • Communication: Clearly communicate data findings to non-technical stakeholders.
    • Attention to Detail: Ensure accuracy in data reporting and visualizations.
    • Time Management: Ability to prioritize tasks and meet deadlines in a fast-paced environment.
  • Hard Skills:
    • BI Tools: Power BI, Tableau (ability to create dashboards, reports, and visualizations)
    • SQL: Proficiency in writing complex queries for data analysis and reporting
    • Data Visualization: Ability to design intuitive, impactful visualizations
    • Data Warehousing: Knowledge of building and maintaining data warehouses
    • ETL Processes: Experience with data extraction, transformation, and loading techniques