Responsibilities :
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.What you need to succeed (minimum qualifications) :
Bachelors or masters in data science, Business Analytics, Information Science, Computer Science, Statistics, or a related field.2+ yrs of Experience as Data Analyst with experience in Python (NumPy & Pandas) including (Matplotlib / Seaborn) & EDA & SQL & Scikitlearn library.Experience with AWS DB - (S3 Bucket or Redshift) is required.Basic understanding of ETL / Glue data pipelines.What will give you a competitive edge (preferred qualifications) :
Hands on Experience with Dashboarding e.g QuicksightDesired experience working with HR DataExperience working with Glue / Lambda to develop data pipelinesExperience working with DBTID : DELRM03