Senior Data Analyst (AWS/Python/SQL) (Night Shift, WFH)

Role Title: Senior Data Analyst (AWS / Python / SQL)

ECLARO: A quick Summary
ECLARO is an award-winning professional services firm headquartered in New York City and operating in the U.S., Canada, UK, Ireland, Australia and the Philippines. We are dedicated to a singular purpose: providing the Right People to meet every client's needs and solve business challenges through strategic staffing, permanent placement, custom outsourcing & offshoring. Utilizing our proprietary TRINIT-E® Service Maturity Model, we help clients implement programs to promote innovation, automation and process improvement.

Key Responsibilities
• Partner with business stakeholders to define KPIs, baselines, and target outcomes for AI-enabled workflows and operating models.
• Analyze structured data from enterprise platforms using SQL and Python, with a focus on workflow performance, productivity, quality, and adoption.
• Build reporting views and dashboards using data sourced from AWS and cloud-data platforms such as S3, Redshift, Athena, Glue, and Databricks.
• Clean, transform, validate, and document data used for operational reporting, analytics, and downstream AI or ML use cases.
• Identify bottlenecks, anomalies, and workflow improvement opportunities that can be addressed through automation or AI-driven decision support.
• Partner with engineering teams on data governance, lineage, quality checks, and metric standardization.
• Present findings clearly to both technical and non-technical stakeholders and translate data into actionable recommendations.
Qualifications:
• 5+ years of experience in data analysis, business intelligence, operations analytics, or a related role.
• Strong SQL skills and working knowledge of Python for analysis and data preparation.
• Advanced SQL proficiency with query optimisation and performance tuning capabilities required.
• Production-level Python experience including deployment and maintenance of data solutions is essential.
• Experience working in cloud-based data environments, ideally AWS.
• Familiarity with one or more of the following: Redshift, Athena, S3, Glue, Databricks, or PySpark.
• Hands-on experience with at least three AWS cloud data platform tools from Redshift, Athena, S3, Glue, Databricks, or PySpark is required.
• Experience with BI and reporting tools such as Power BI, Tableau, or QuickSight.
• Strong communication skills and comfort working with cross-functional stakeholders.

Preferred Qualifications
• Experience supporting data quality, governance, or regulated reporting environments.
• Exposure to AI, process automation, or workflow transformation initiatives.
• Familiarity with enterprise planning/reporting tools such as Anaplan.