Mid-Level Data & BI Analyst, Python, SQL

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2 days ago

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Looqbox

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Artificial Intelligence • SaaS • B2B

Looqbox is an AI-powered SaaS platform that helps large companies transform data into real-time, actionable insights for frontline commercial and store operations. It connects to databases and APIs, supports natural-language queries, dashboards, automated alerts and a recommendations engine (LLM) to boost sales performance, store management and customer experience. Designed for scalability and ease of use, Looqbox targets sales forces, retail and consumer goods teams to democratize data-driven decisions.

51 - 200 employees

Founded 2014

🤖 Artificial Intelligence

☁️ SaaS

🤝 B2B

📋 Description

• 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 focused on data. • 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 indicators; suggest product or usage improvements. • Perform troubleshooting and research to resolve data, query, and performance issues. • Collaborate with the Project Manager and client stakeholders; participate in meetings as needed. • Promote data visualization best practices and report standardization. • Support simple experiments (A/B tests, hypothesis definition and result interpretation).

🎯 Requirements

• Experience with Python (pandas, numpy; notebooks) and SQL (queries, basic optimization). • Good programming practices: version control, documentation, refactoring. • Descriptive statistics and basic inference 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 to assess risks and alternatives. • Advantage: experience as a client-facing lead or in consulting. • Code/query optimization and analytics modeling (dimensional modeling, semantic layers). • Knowledge of served industries (retail, shopping centers, pharmaceutical, construction) and relevant domain metrics. • Experience building and maintaining data pipelines. • Orchestration/ETL tools (Airflow) and version control (Git). • Experience with non-relational databases. • Experience with AI tools.

🏖️ Benefits

• Competitive market-based compensation; • Meal allowance via Caju card; • Health insurance fully covered by Looqbox, with no co-pay; • Dental plan 100% covered by Looqbox, with no co-pay; • Access to Wellhub (Gympass); • Reading incentive; • Autonomy and responsibility over projects; • Opportunity to collaborate with an amazing team;