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Syensqo seeks a highly analytical Senior Data Analyst to transform massive datasets into actionable insights. You will bridge complex cloud data architecture with executive decision-making, leading robust data pipelines, and enterprise dashboards.
The ideal candidate has deep SQL expertise, multi-cloud experience (Azure and GCP), and strong Power BI or Qlik visualization skills, with a solid data science foundation.
Syensqo is all about chemistry. We’re not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet’s beauty for the generations to come.
We are seeking a highly analytical and business-minded Senior Data Analyst to transform massive datasets into actionable strategic insights. In this role, you will bridge the gap between complex cloud data architecture and executive decision-making. You will lead the design of robust data pipelines, build high-impact enterprise dashboards, and mentor junior team members.
The ideal candidatepossessesdeepexpertisein SQL, strong cross-cloud experience ( Azure and GCP ), mastery of enterprise visualization platforms ( Power BI or Qlik ), and a solid academic foundation in data sciences.
1. Advanced Analytics & Business Intelligence
Translate complex business questions into clear, data-driven answers for executive leadership
Design, develop, andmaintainautomated, scalable dashboards and reports in Power BI or Qlik Sense
Perform deep-dive exploratory data analysis to uncover hidden trends, anomalies, and optimization opportunities
Write,optimize, andmaintaincomplex, high-performance SQL queries and stored procedures across multi-cloud environments
Extract, transform, and load (ETL) data from diverse sources, navigating both Microsoft Azure (e.g., Synapse, Azure Data Factory) and Google Cloud Platform (e.g.,BigQuery, Cloud Storage) ecosystems
Collaborate with Data Engineers to optimize data models, data warehouses, and reporting schemas for maximum performance
Act as the subject matter expert on data quality, ensuring a single source of truth across all visualization platforms
Mentor and provide technical guidance to junior and mid-level data analysts
Establish and document best practices for dashboard design, data governance, and SQL optimization
Bachelor’s or Master’sdegree in a relevant quantitative field (e.g., Data Analytics, Computer Science, Information Systems, Statistics, or a related discipline)
Expert-level SQL: Advanced analytical functions, query optimization, and experience handling large-scale data sets
Dual Cloud Ecosystems: Hands-on experience working within both Microsoft Azure and Google Cloud Platform (GCP) data environments
Data Visualization Excellence: Strong portfolio of production-grade dashboards built in Power BI (DAX/Power Query) or Qlik (QlikView/Qlik Sense), with a sharp eye for UI/UX and data storytelling
Data Modeling: Solid understanding of data warehousing concepts (e.g., Star Schema, Snowflake Schema, Kimballmethodology)
5+ years of progressive experience in data analytics or business intelligence roles
Proven track record of managing stakeholders and presenting data insights directly to non-technical business leaders
Strong project management skills with the ability to manage competing priorities in a fast-paced environment
Relevant cloud certifications (e.g., Microsoft Certified: Azure Data Analyst Associate, Google Cloud Certified Professional Data Engineer)
Familiarity with scripting languages like Python or R for advanced statistical analysis
The Portuguese annual base salary rangereasonably expectedto be paid for this new hire is: €40,500to €60,500. Actual compensation willbedeterminedbased on factors such as skills, experience, qualification, and internal equity and canultimatelybemore or less than the posted salary range. Total compensation for this role also includes bonus and/or other incentives
16, or more, weeks of maternity/paternity and co-parenting leave, according to local regulations
Training platform for all employees
Free well-being sessions (physical and psychological)
Location: Lisbon, Portugal