Looqbox
Looqbox
51 – 200 Employees
Artificial IntelligenceB2BSaaS
Looqbox is an AI-powered SaaS company that helps large businesses turn operational data into timely decisions. Its platform connects with databases and APIs, enabling teams to explore information through natural-language queries, dashboards, automated alerts, and an LLM-based recommendations engine. Looqbox serves commercial, retail, and consumer goods organizations, with tools designed to help frontline sales and store teams improve performance, manage operations, and deliver better customer experiences. Founded in 2014, the company has a team of 51–200 employees and operates at the intersection of artificial intelligence, B2B software, and data-driven business operations.

Mid-Level Data and BI Analyst (Python/SQL) at Looqbox – Remote

Join Looqbox as a Data and BI Analyst, helping turn business data into decisions through dashboards, semantic layers, and analysis with Python and SQL.

Description

  • Translate client objectives into measurable metrics, KPIs, and data specifications.
  • Build standardized, high-performing reports and dashboards in Looqbox with Python and SQL.
  • Deploy and oversee data-focused AI agents.
  • Perform exploratory and ad hoc analyses, including cohorts, funnels, segmentation, performance shifts, and root-cause investigations.
  • Build, document, and maintain the semantic metrics layer, including definitions, business rules, and dimensions.
  • Develop clear visualizations and practical recommendations through data storytelling.
  • Track product adoption and customer health using key indicators, and recommend product or usage improvements.
  • Investigate data, query, and performance problems and identify effective solutions.
  • Work with the Project Manager and client stakeholders, participating in meetings when required.
  • Advocate for effective data visualization practices and consistent reporting standards.
  • Assist with foundational experimentation, including A/B tests, hypothesis testing, and result interpretation.

Requirements

  • Practical experience using Python with pandas, NumPy, and notebooks, plus SQL for querying and basic optimization.
  • Technical independence appropriate for a junior or mid-level professional.
  • Strong development habits, including version control, documentation, and refactoring.
  • Understanding of descriptive statistics and introductory inference, including distributions, confidence intervals, and hypothesis tests.
  • Ability to create effective visualizations, apply data storytelling principles, and communicate findings clearly.
  • Intermediate proficiency in English.
  • Ability to convert business questions into analytical approaches while weighing risks and alternatives.
  • Experience acting as a client-facing or consulting point of contact.
  • Experience optimizing code and queries and applying analytics modeling concepts such as dimensional modeling and semantic layers.
  • Familiarity with relevant metrics and business domains in retail, shopping centers, pharmaceuticals, and construction.
  • Experience building and maintaining data pipelines.
  • Experience with Airflow or similar orchestration and ETL tools, as well as Git.
  • Experience working with non-relational databases.
  • Experience using AI tools.

Benefits

  • R$1,100 in flexible Caju meal and food allowances, also available for Mobility, Culture, Health, and Education expenses.
  • Looqbox-funded health insurance with no co-payments.
  • Looqbox-funded dental insurance with no co-payments.
  • Wellhub membership supporting physical and mental wellness.
  • Support for reading and continuing education.
  • Fully remote work arrangement.

Related Jobs