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Data Analyst (Part-time/20hrs p/ week)
Spectraforce
US

2 months ago

Job Description

Job title: Data Analyst
Location: Costa Rica
Modality: Work from home

Overview:
We are seeking a highly organized and detail-oriented Data Analyst to support the growth and maturity of our Sales Assist function. This role involves working closely with cross-functional teams to aggregate, validate, and reformat existing data to improve the precision and richness of Sales Assist responses. The ideal candidate will have experience in data aggregation, formatting, and validation, and a keen interest in enhancing sales enablement processes. 
 
Key Responsibilities: 
  • Data Collection & Aggregation: Collect and aggregate data from various internal and external sources, ensuring its accuracy, completeness, and relevance to the project or analysis. 
  • Data Analysis & Interpretation: Analyze data to identify trends, patterns, and insights that drive business decisions. Use statistical methods and analytical tools to interpret data. 
  • Reporting & Visualization: Create reports and dashboards to present findings to stakeholders. Use data visualization tools (e.g. Power I) to make data accessible and easy to understand. 
  • Collaboration with Stakeholders: Work closely with cross-functional teams to understand data needs, provide insights, and help with data-driven decision-making. 
  • Ad-Hoc Analysis: Perform ad-hoc analysis as needed to support business requests or provide answers to specific questions from stakeholders.  
Qualifications: 
  • Bachelor's degree in business, Data Analytics, or a related field. 
  • Proven experience with datasets and performing data aggregation, validation, and formatting. 
  • Strong attention to detail and organizational skills. 
  • Ability to work independently, manage multiple tasks, and meet deadlines. 
  • Strong communication skills, both written and verbal. 
  • Familiarity with LinkedIn Navigator and other sales tools is desirable. 
Preferred Skills: 
  • Experience with data visualization tools and platforms. 
  • Ability to work collaboratively with cross-functional teams. 
  • Proficiency in Microsoft Excel, with expertise in creating and managing complex formulas (e.g., VLOOKUP, INDEX-MATCH, IF statements). 
  • Experience in building and customizing PivotTables and PivotCharts for data analysis and reporting. 

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