Role Title: Data Analyst
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.
About the Role:
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 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&plus 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.
