Qureos

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Data Analyst

Essential Functions

  • Collaborate with Product and Analytics teams to use a combination of exploratory and descriptive analytics to inform product strategy and roadmap, and provide ad-hoc analyses that uncover root cause of recent business trends.
  • Understand data infrastructure and coordinate with Data Engineering to deliver data models and structures to meet business demands.
  • Assist in the design of relevant data models, including outlining dimensions and measures needed, for answering business questions.
  • Establish and implement product data standards and best practices in order to optimize the data collection, fidelity and accuracy. Develop product measurement plans and dashboards to monitor metrics and KPIs.
  • Support Sales in deploying and documenting internal dashboards and reporting.
  • Ensure optimization and validations initiatives are implemented, tracked and reviewed postproduction.
  • Shape, explore and publish data for business analysis or stakeholder initiatives using core Business Intelligence (BI) tools.
  • Other duties as assigned.

Minimum Qualifications

  • 3+ years of experience in using data and analytics to drive business decisions, preferably in a sales or commercial setting.
  • Experience with cloud-based data warehouses (e.g., AWS Redshift, Snowflake, BigQuery).
  • Advanced SQL concepts including joins, CTEs, case statements, stored procedures, data writing, window functions, etc.
  • Experience building and maintaining Tableau dashboards and reports for business stakeholders.
  • Experience with working with and optimizing data ELT/ETL processes.
  • Ability to translate technical data into actionable insights for non-technical stakeholders (e.g., sales rep, managers).
  • Experience with creating ad-hoc reports based on business questions and requirements.
  • Comfortable working in a fast-paced environment with shifting priorities and quick turnaround requests.

Preferred Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or related field.
  • Experience with SalesForce (or other CRM systems) and its data.
  • Experience with sales KPIs and reporting metrics (e.g., win/loss rates, conversion %).
  • Experience with creating or modifying database tables to support reporting.
  • Experience with Python, R, or VBA (e.g., automating report refreshes, data quality checks).
  • Experience with scheduling/report automation tools like (e.g., Airflow, Redwood, Tableau Server scheduling).
  • Strong Excel skills for quick ad-hoc data analysis, validation, or visualization.

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