Looqbox

Mid-level Data & BI Analyst – Python, SQL

Looqbox

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇧🇷 Brazil

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Job Level

Mid-LevelSenior

Tech Stack

AirflowETLNumpyPandasPythonSQL

About the role

  • Understand client objectives and translate them into metrics, KPIs, and data requirements.
  • Develop reports and dashboards in Looqbox using Python and SQL, ensuring standardization and performance.
  • Implement and manage AI agents with a data focus.
  • Conduct exploratory and ad hoc analyses (cohorts, funnels, segmentations, performance variations, root-cause analysis).
  • Create and maintain the semantic metrics layer (definitions, business rules, dimensions) and documentation.
  • Data storytelling: prepare clear, actionable visualizations and recommendations.
  • Monitor tool adoption and customer health through metrics; recommend product/usage improvements.
  • Perform troubleshooting and investigation to resolve data/query/performance issues.
  • Collaborate with the Project Manager and client stakeholders; attend meetings as needed.
  • Promote data visualization best practices and report standardization.
  • Support simple experiments (A/B tests, hypothesis design, and result interpretation).

Requirements

  • Solid experience in Python (pandas, NumPy; Jupyter/notebooks) and SQL (queries, basic optimization).
  • Programming best practices: version control, documentation, refactoring.
  • Descriptive statistics and basic inferential concepts (distributions, confidence intervals, basic hypothesis testing).
  • Data visualization and storytelling (best-practice principles and clear communication).
  • Intermediate English.
  • Ability to translate business questions into analyses and assess risks/alternatives.
  • Experience as a client-facing or consulting focal point.
  • Code/query optimization and analytics modeling (dimensional modeling, semantic layers).
  • Knowledge of served industries (retail, shopping centers, pharmaceutical, construction) and domain-specific metrics.
  • Experience creating and maintaining data pipelines.
  • Orchestration/ETL tools (Airflow) and version control (Git).
  • Experience with non-relational (NoSQL) databases.
  • Experience with AI tools.
Benefits
  • Competitive market-based compensation
  • Meal allowance via Caju card
  • Health insurance fully covered by Looq, with no co-payments
  • Dental plan 100% covered by Looq, with no co-payments
  • Access to Gympass
  • Reading incentive
  • Autonomy and ownership over projects
  • Opportunity to collaborate with an outstanding team

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLpandasNumPyJupyterdata visualizationA/B testingcode optimizationanalytics modelingETL
Soft skills
data storytellingclear communicationclient-facingcollaborationproblem-solvinganalytical thinkingrisk assessmentrecommendation skillsdocumentationversion control
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