Data Analyst

As a Data Analyst you will play a pivotal role in the visualization and analysis of critical data for high-impact projects. You will be responsible for creating, modifying, and maintaining complex data dashboards, primarily for our clients in the sports and construction sectors. This role requires a high level of proficiency in Power BI, Excel, and other data visualization tools, along with strong communication skills for client interactions.

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Key Responsibilities:

1. Data Visualization and Dashboard Development:
   

   • Develop and maintain data dashboards using Power BI, ensuring accurate and real-time representation of data.
     
   • Make periodic updates to dashboards based on client feedback, including publishing different versions in separate workspaces.
     

2. Data Validation and Delivery:
   

   • Engage in data validation processes to ensure accuracy and reliability of dashboard data.
     
   • Deliver finalized dashboards to clients, ensuring they meet specified requirements.
     

3. Client Interaction and Support:
   

   • Actively participate in weekly meetings to discuss client requirements and feedback.
     
   • Respond to client queries regarding dashboard visualizations and data interpretation.
     
   • Train clients on understanding and using the dashboards effectively.
     
   • Collaborate with team members, guiding them in client communication and issue resolution.
     

4. Project Management and Reporting:
   

   • Maintain a task tracker to manage and prioritize ad-hoc tasks and project deliverables.
     
   • Ensure clear communication of project statuses and updates within the team and to stakeholders.
     

5. Technical Skills and Maintenance:
   

   • Utilize complex DAX functions and data preparation techniques in Power BI.
     
   • Apply SQL queries in Snowflake for advanced data analysis.
     
   • Perform routine maintenance and updates of dashboards based on client feedback and changing requirements.
     

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Technical Skills:

1. Advanced Proficiency in Power BI:
   

   • Expertise in creating complex dashboards and visualizations tailored to client needs.
     
   • Skilled in using DAX (Data Analysis Expressions) for creating custom calculations and advanced data manipulation.
     
   • Experience with data preparation and modeling within Power BI, including the use of Power Query.
     

2. Excel Mastery:
   

   • Advanced skills in Excel for data analysis, including the use of pivot tables, advanced formulas, and data visualization techniques.
     
   • Ability to manage large datasets within Excel and integrate Excel with other data tools.
     

3. Lucid Charts:
   

   • Proficiency in using Lucid Charts for creating flowcharts, process diagrams, and other visual representations of data and workflows.
     

4. SQL and Database Management:
   

   • Competence in writing and optimizing SQL queries, particularly within Snowflake environments.
     
   • Understanding of database structures and the ability to efficiently extract, transform, and load data (ETL).
     

5. Familiarity with Microsoft 365 Suite:
   

   • Comfortable using various applications within the Microsoft 365 suite, such as SharePoint, Teams, and others for collaboration and data sharing.
     
   • Ability to integrate these tools with data analysis workflows.
     

6. Data Analysis and Problem Solving:
   

   • Strong analytical skills with the ability to derive insights and recommendations from datasets.
     
   • Skill in identifying, analyzing, and resolving complex data-related issues.
     

7. Communication and Training:
   

   • Ability to clearly articulate technical concepts to non-technical audiences, including clients.
     
   • Experience in training clients or team members on the use of data tools and dashboards.
     

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Requirements

Qualifications:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
  
• Proficient in Power BI, Excel (advanced), and Lucid Charts.
  
• Experience with SQL and familiarity with Snowflake.
  
• Strong analytical skills and attention to detail.
  
• Excellent communication and client-handling skills.
  
• Ability to work in a fast-paced, dynamic environment.
  

Preferred Experience:

• Prior experience in data analysis or a similar role.
  
• Knowledge of Microsoft 365 suite.
  
• Experience working with data in the sports and/or construction industries.