Data Analyst

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.