Senior Data Analyst

Job not on LinkedIn

🕒 September 11

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

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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Spassu

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1992

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Spassu is a Brazilian company specializing in end-to-end digital transformation solutions. With over 30 years of experience, Spassu focuses on maximizing value delivery by simplifying processes and improving decision-making throughout its partners' journeys. The company employs experts in user experience, design thinking, and agile methodologies to co-create innovative solutions that meet the needs of diverse industries. By leveraging a multidisciplinary approach and applying best practices like ITIL and LEAN, Spassu facilitates continuous improvement and ensures the effective implementation of IT services across various sectors.

📋 Description

• Interpret data, analyze results, and apply statistical techniques. • Develop and implement data analyses, data collection systems, and strategies to optimize efficiency and statistical quality. • Obtain data from primary or secondary sources and maintain databases. • Implement database security routines and protocols. • Establish best practices for data administration procedures within the SME environment. • Build data extraction pipelines from multiple sources and store data in a Data Lake using Python, Apache Airflow, and Data Factory. • Support and monitor the client's data platform. • Install, configure, and keep database management systems, services, and administration interfaces up to date. • Verify database environment compliance, including high availability, relational integrity, backup integrity, and vulnerabilities. • Test and monitor database performance, tune environments, plan capacity, and manage access levels to ensure information security.

🎯 Requirements

• Bachelor's degree preferred, ideally in Computer Science, Engineering, or another data-related field. • Certification is not required. • Experience in data-related roles using agile methodologies. • Experience with conceptual, logical, and physical data modeling, including enterprise, relational, and multidimensional models. • Maintain and version all developed scripts. • Advanced SQL proficiency, including Stored Procedures, Views, Indexing, Partitioning, and Query Tuning. • Experience with modern Data Warehouses and columnar databases, such as BigQuery, Snowflake, Amazon Redshift, or ClickHouse. • Practical knowledge of cloud providers such as AWS, Azure, or Google Cloud. • Familiarity with ETL/ELT processes and tools such as Airflow, dbt, ADF, Data Factory, or SSIS. • Basic knowledge of Python, with a focus on Pandas and NumPy.

🏖️ Benefits

• Health Insurance • Dental Insurance • Life Insurance • Meal or Food Allowance • Transportation Allowance • Wellhub (formerly Gympass)