Senior Data Analyst

Level of the Role: Senior Data Analyst Reporting to: VP of Finance Years of experience: 5-7+ Language: English B2+ Client location: Florida Place of work: Remote job In this role, you will: · Lead the development of advanced Power BI dashboards and financial analytics. · Design and execute sophisticated analyses using SQL, Python and SQL Server. · Partner directly with the VP of Finance to define metrics and deliver actionable insights. · Mentor junior analysts and champion best practices in analytics and visualisation. · Oversee data quality and governance processes. Selection Process: · Technical Assessment: Candidates will complete Aztia’s technical test covering SQL, Python and Power BI. · English Proficiency Test: Applicants should demonstrate at least a B2+ level of English; a C1 level is preferred. · Interview: Shortlisted candidates will meet with the VP of Finance and other stakeholders for a final evaluation. Requirements We are looking for someone who has: Mandatory Requirements: · 5–7+ years of professional experience in data analytics or business intelligence. · Demonstrated expertise with Power BI modelling and visualization. · Deep proficiency in SQL, Python and SQL Server data extraction. · Proven experience with Power BI Embedded or embedding reports into applications. · Excellent English communication skills; strong B2 (upper-intermediate) minimum, C1 preferred. · Ability to communicate effectively with executive stakeholders. Nice to Have: · Experience with Azure Data Factory and visual ETL pipelines. · Expertise in Azure Data Lake Storage and big-data tools like Hadoop or Spark. · Knowledge of Azure Synapse Analytics. · Familiarity with Azure SQL Database/Managed Instance. Skillset: Skill Mandatory Optional – it’s a plus Power BI (modeling, visualization, embedded) x SQL x SQL Server x Python x Azure Data Factory (ETL) x Azure Data Lake, Hadoop, Spark x Azure Synapse Analytics x Azure SQL Database / Managed Instance x Qualifications: · Bachelor’s or Master’s degree, or equivalent practical experience in a quantitative field (Computer Science, Data Science, Mathematics, Engineering). Experienced technologists without formal degrees are encouraged to apply. · Advanced certifications in Azure data or Power BI are strongly preferred.