Senior BI Analyst

Job not on LinkedIn

🔥 4 minutes ago

🇧🇷 Brazil – Remote

⏳ Contract/Temporary

🟠 Senior

📊 Business Intelligence Developer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Work end-to-end across the Analytics journey: understand business needs, analyze sources, define metrics, model and transform data, create dashboards/reports, validate, document and deliver to user teams • Interact directly with stakeholders, business areas and leaders to map needs, translate requirements into KPIs and support data-driven decisions • Develop, validate and maintain interactive dashboards, reports and analytical panels in Power BI or equivalent tools • Build and maintain transformation models in the analytics layer using dbt and advanced SQL, ensuring lineage, automated tests and code reuse • Define business rules, calculations and aggregated measures with DAX, SQL and dbt, ensuring consistency and performance • Ensure data quality, integrity and accuracy by performing reconciliations and investigating discrepancies • Investigate root causes of operational issues and inconsistencies across dashboards, pipelines, environments and granularities • Model Semantic Layers and Data Marts for analytical consumption and Self-Service BI • Promote a data-driven culture by instructing, documenting and training business users on the use of BI tools and the metrics catalog • Ensure governance, visual standardization, access management (RLS/roles), naming conventions and documentation • Deliver with technical autonomy, propose analytical solutions and support the development of less experienced professionals

🎯 Requirements

• Hands-on, relevant experience developing and maintaining models with dbt • Organize dependencies using ref() and source() • Mastery of models, sources, seeds, snapshots, macros, tests, documentation and lineage • Knowledge of materialization strategies: view, table, incremental and ephemeral • Apply data quality tests via dbt • Best practices for project structure, naming conventions, code reuse and processing optimization in dbt projects • Solid experience building interactive dashboards and reports with Power BI or equivalent tools • Expertise in BI modeling, table relationships, filter contexts, aggregate functions and complex measures, including advanced DAX • Strong knowledge of Data Visualization, dashboard UX/UI and Data Storytelling • Practical experience with advanced SQL: CTEs, window functions, aggregations, joins, subqueries and analytical datasets • Ability to analyze and optimize queries for performance • Skill to investigate discrepancies, duplicates, null values and inconsistencies in databases • Solid experience in dimensional modeling: Star Schema, Snowflake Schema, facts and dimensions • Define granularity, relationship keys and aggregation rules • Knowledge of Data Warehouse/Lakehouse layers: Staging, Trusted, Mart/Consumption • Experience with Semantic Layer for metric standardization • Ability to understand business problems before development • Skill to translate business needs into data structures and rules • Strong investigative capability to find root causes of discrepancies • Experience mapping, standardizing and documenting data dictionaries and metric catalogs • Experience with data hosted on GCP (BigQuery) and/or Snowflake • Understanding of tables, views, partitions and cost/performance optimization • Hands-on experience with Git, including branches, commits, Pull Requests and code review • Organization, governance, information security, access control/RLS and documentation • Autonomy, communication skills to translate technical concepts for non-technical audiences and a collaborative attitude • Nice-to-have: Python, Pandas, NumPy, Google Cloud Storage, Cloud Composer/Airflow, Dataplex, advanced Snowflake, multicloud architectures, CI/CD, data catalog and governance, Data Mesh, Data Contracts, unified Semantic Layer and integration of dashboards with AI agents or predictive solutions • Experience in large enterprise environments with multiple BI consumers and Self-Service BI

🏖️ Benefits

• Porto Seguro Health Insurance, with the option to include spouse and children • Porto Seguro Dental Plan for employees and dependents • Profit Sharing (PLR) • Childcare Assistance • Alelo Food and Meal Vouchers • Home Office Allowance • Partnerships with Educational Institutions, offering discounts and incentives for courses and degree programs • Certification incentives, including Cloud (GCP, Azure, AWS, among others) • Livelo points • Total Pass, with discounted gym plans for employees and family members • Mindself, support for meditation and mindfulness