Senior Data Analyst (Cloud / 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.

Position Summary

The Data Analyst turns operational and business data into trusted insight for AI-enabled workflows,
analytics products, and leadership reporting. This role partners with engineering, platform, and AI teams in a modern cloud-data environment to define KPIs, build measurement frameworks, improve data quality, and support decision-making in a regulated enterprise setting.

Key Responsibilities

Partner with the Business Units on defining Data standards, Data quality, Data Governance process.
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.
Experience working in cloud-based data environments, ideally AWS.
Familiarity with one or more of the following: Redshift, Athena, S3, Glue, Databricks, or PySpark.
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.