Senior Data Analyst

Job Reference: 75003

BI, Data & Analytics

Start Date: 06/02/2023
Applications close on: 01/03/2024
Contract Type: Permanent
Country: United States
Discipline: Data Analytics
Residence: United States
Minimum Experience: 6 Years+
Job Contact: [email protected]

Senior Data Analyst

Our client is looking for a Senior Data Analyst to be working in the United States.
The data analyst collects, organises and studies data to provide business insight.

Responsibilities of the Senior Data Analyst:

  • Seek to understand the needs of business users.
  • Maintain and build curated, flexible, datasets and dashboards that support teams across the company.
  • Enable and encourage data users to explore and gain insights from those datasets and dashboards through consultative approach, training and documentation.
  • Collaborate with data engineering to contribute to the development of data assets.
  • Learn how to identify and resolve data disparity issues independently, as appropriate.
  • Respond to ad-hoc queries and implement solutions to enable non-technical end-users to answer, independently, in the future.
  • Use data science techniques to find data patterns, anomalies, and optimization opportunities.
  • Maintain a library of analytical code (SQL, R, Python, etc.) and data visualization dashboards (PowerBI, etc.).
  • Provide expertise on mathematical concepts for the broader applied analytics team and inspire the adoption of advanced analytics and data science across the entire organisation.
  • Interpret, translate and communicate analytical findings to business stakeholders through visualizations.

Essential Qualifications:

  • High level of accountability, customer-focused, consultative approach with stakeholders, comfort building expertise w/ new tools, and the ability to independently execute against goals.
  • Strong verbal and written communication skills with demonstrated ability to communicate professionally at all levels including executive management.
  • Experience creating highly adopted, and intuitive dashboards with BI tools like Power BI, Qlik, or Tableau.
  • Strong project management and organizational skills.
  • High level of proficiency w/ SQL and relational databases.
  • An understanding of how to apply statistical, and data warehousing concepts.
  • Bachelor’s Degree in Computer Science, MIS, Mathematics, Statistics, Economics, and/or equivalent work experience in a related field.

Preferred Skills:

  • Experience in using data science techniques to find data patterns, anomalies, and optimization opportunities.
  • Basic programming skills in Python, R.
  • Experience with Data Science tools like Knime, Jupyter, MATLAB, etc.
  • Exposure to ESG Analytics.

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