Data Analyst (Mid-Level)

Level of the Role: Data Analyst (Mid-Level) Reporting to: VP of Finance Years of experience: 3-5+ Language: English B2+ Client location: Florida Place of work: Remote job In this role, you will: · Create dashboards and reports using Power BI to support financial decisions. · Extract, transform and analyse data using SQL, Python and SQL Server. · Work closely with the VP of Finance to translate business needs into data-driven solutions. · Ensure data quality, integrity and compliance with healthcare data standards. · Present complex data clearly and succinctly to executives. 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: · 3–5 years of experience in data analytics or business intelligence. · Proficiency in SQL, Python and Power BI. · Experience with Power BI Embedded or integration of reports into custom applications. · Demonstrable experience extracting and querying data from SQL Server. · Advanced English communication skills; strong B2 (upper-intermediate) accepted, C1 preferred. · Strong interpersonal and presentation skills for stakeholder engagement. Nice to Have: · Familiarity with Azure Data Factory and its no-code pipeline authoring. · Knowledge of Azure Data Lake Storage and big-data tools. · Exposure to Azure Synapse Analytics. · Experience with Azure SQL Database/Managed Instance. Skillset: Skill Mandatory Optional – it’s a plus Data Analytics / BI x Power BI x SQL x Python x Power BI Embedded / integration x SQL Server (extraction & queries) x Azure Data Factory (no-code pipelines) x Azure Data Lake, big-data tools x Azure Synapse Analytics x Azure SQL Database / Managed Instance x Qualifications: · Bachelor’s degree or equivalent experience in Computer Science, Statistics, Engineering or a related field. Highly skilled technologists without formal degrees are welcome. · Certifications in Power BI or Azure data services are advantageous.