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This is a remote position.
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.
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.
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