Remote senior data analyst jobs ID-2979

Job responsibilities

  • Develop complex data analysis methodologies and predictive data models for assessing outcomes
  • Develop and lead projects that include a variety of advanced qualitative and quantitative analytic assignments
  • Collect, cleanse, analyze data and create detailed reports to help businesses have insightful information
  • Provide relevant data-related reports to impact the leadership and key community stakeholders for decision-making, action planning, and continuous improvement
  • Offer technical assistance and build understanding among partners about the effective use of data
  • Build systems and tools for effective data management, visualization, and interpretation with tools like Tableau or Power BI (systems design, dashboards, information graphics, mapping)
  • Proactively participate in the identification and implementation of continuous improvement processes

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Mathematics, Economics, Statistics (or equivalent experience)
  • At least 5+ years of experience as a data analyst or business data analyst (rare exceptions for highly skilled developers)
  • Expertise in data models, database design development, data mining, and segmentation techniques
  • Solid understanding of reporting packages (Business Objects, Power BI, Tableau, etc), databases (SQL, etc), programming (XML, JavaScript, or ETL frameworks)
  • Excellent analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to utilize statistical packages for analyzing datasets (Excel, SPSS, SAS, etc)
  • Solid knowledge of queries, report writing, and presenting findings
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Excellent technical, analytical, and critical-thinking skills
  • Self-starter with strong time and team management skills
  • Good consultative and communication skills
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