At GemPool we are currently working with a dynamic startup based in Dublin, where innovation, learning, and growth drive their success. They are looking for a passionate and detail-oriented Data Engineer & Analyst to join their team. In this role, you will play a pivotal part in creating and analyzing large datasets, generating business intelligence reports, and delivering data-driven insights for their clients. If you thrive on curiosity, creativity, and independent thinking, this is the perfect opportunity to make a significant impact and grow with us.
Core Responsibilities:
Data Preparation & Transformation: Conduct thorough data cleaning, transformation, and integration across various datasets to maintain high data quality.
Advanced Excel Analysis: Leverage advanced Excel techniques, including pivot tables, lookups, and complex formulas, to analyze and interpret large datasets.
Data Reconciliation: Perform data reconciliation and validation to identify and resolve discrepancies, ensuring consistency and accuracy.
Automation with Python & SQL: Utilize Python and SQL to streamline data processes, execute complex queries, and derive meaningful insights from extensive datasets.
Data Enrichment: Enhance existing datasets by extracting and integrating data from online sources and APIs, keeping information up-to-date and comprehensive.
Insightful Reporting: Create detailed reports and dashboards using business intelligence tools, translating data into actionable insights for clients and internal stakeholders.
Required Skills:
Proficient in Excel: Strong expertise in advanced Excel functions and tools for in-depth data analysis and reporting.
Python & SQL Expertise: Solid experience in using Python (with libraries like pandas and NumPy) and SQL for data manipulation and automation.
Data Quality Management: Proven ability in data cleaning, matching, and transformation to ensure high data integrity.
Data Extraction Skills: Knowledge of data scraping methods and tools for enriching and expanding datasets.
Experience with BI Tools: Familiarity with business intelligence platforms like AWS Quicksight, Tableau, or Power BI for creating impactful reports and visualizations.
Analytical & Innovative: Strong analytical abilities, with a creative mindset and a keen eye for detail, paired with a passion for discovering insights from data.
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