Data Analyst
Data Analyst
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Job Description
Beyond Secure.
AvePoint is the global leader in data security governance and resilience going beyond traditional solutions to ensure a robust data foundation and enable organizations everywhere to collaborate with confidence. Over 25000 customers worldwide rely on the AvePoint Confidence Platform to prepare secure and optimize their critical data across Microsoft Google Salesforce and other collaboration environments. AvePoints global channel partner program includes approximately 5000 managed service providers value-added resellers and systems integrators with our solutions available in more than 100 cloud marketplaces.
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Overview
We are seeking a data-literate and technically strong Data Analyst to join our team. You will be instrumental in building our analytics infrastructure and unlocking deep insights from data. A key aspect of this role involves usingPythonto automate processes perform advanced analytics and enhance our data capabilities beyond traditional SQL and BI tools.
Experience & Skills Required
Key Responsibilities:
- End-to-End Data Pipeline Management:Design develop and maintain robust scalable data pipelines from various sources into our data warehouse.
- Advanced Data Processing & Automation:Use Python (Pandas NumPy) to build and automate complex data transformation and feature engineering tasks complementing our core ETL frameworks.
- Data Warehousing & Modelling:Manage and optimize the data warehouse environment including designing and implementing efficient data models for business intelligence.
- Analytics & Insight Generation:Develop scripts and analytical models in Pythonfor statistical analysis trend forecasting and uncovering deeper business insights.
- Visualization & Reporting:Create and maintain interactive dashboards and reports to communicate findings effectively to stakeholders.
- Collaboration:Partner with business units to translate their needs into technical solutions and data-driven recommendations.
Requirements:
- Bachelors degree in Computer Science Statistics Engineering or a related quantitative field.
- 3 years of professional experience in a Data Analyst BI Analyst or similar role.
- Strong proficiency in SQLfor complex data querying and manipulation.
- Proven experience with Python for data analysis including using libraries such asPandas NumPy and Requestsfor data manipulation analysis and API interactions.
- Hands-on experience with cloud data platforms onAWS (e.g. Glue S3 Redshift).
- Expertise in at least one major data visualization tool:Power BI Tableau or Qlik.
- Solid understanding of data modelling and ETL/ELT best practices.
Preferred Qualifications:
- Experience in usingPython for ETL/ELT automation(e.g. within AWS Glue Jobs Lambda functions) is asignificant advantage.
- Familiarity withSQL Server Integration Services (SSIS).
- Knowledge of other AWS services (e.g. IAM CloudWatch).
- Exposure to machine learning libraries is a plus.
- Proven ability to manage multiple projects in a fast-paced environment.
If you are looking for an opportunity to grow your career while working on meaningful projects we would love to hear from you!
Required Experience:
IC
Employment Type
Full Time
