Live opening · Posted 1 day ago
The key details from the original listing.
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Description supplied by the original job listing.
The core responsibilities for the job include the following:
Data Integration and Harmonization:
Aggregate and normalize HR data from multiple platforms
Implement data transformation and enrichment processes to support analytics and reporting needs.
Data Quality and Monitoring:
Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
Troubleshoot and resolve issues related to data quality, latency, or performance.
Collaboration with Stakeholders:
Partner with teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
Provide technical support and guidance on data-related issues or projects.
Tooling and Automation:
Leverage cloud-based solutions and frameworks (e. g., AWS) to streamline processes and enhance automation.
Maintain and optimize existing workflows while continuously identifying opportunities for improvement.
Continuous Learning and Innovation:
Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.
Requirements:
Bachelor's or master's in data science, business analytics, information science, computer science, statistics, or a related field.
2+ years of experience as a data analyst with experience in Python (NumPy and Pandas), including Matplotlib/Seaborn, EDA, SQL, and the Scikit-learn library.
Experience with AWS DB (S3 Bucket or Redshift) is required.
Basic understanding of ETL / Glue data pipelines.
Behavioral Competencies:
Ability to work in collaborative environments and embrace diverse perspectives.
Communicate clearly and concisely, express thoughts and ideas effectively, and embrace cultural differences with respect when engaging with others.
Ability to engage effectively with peers and stakeholders to build strong partnerships.
Prioritize, maintain focus, and consistently deliver on commitments.
Proactively understand customer expectations and willingness to create customer-based solutions.
Preferred Qualifications:
Hands-on experience with dashboarding, e. g., QuickSight.
Desired experience working with HR data.
Experience working with Glue/Lambda to develop data pipelines.
Experience working with DBT.
Experience
2-4 yrs
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