jobs in Eclaro Business Solutions Incorporated

全职 Senior Data Analyst (Cloud - Python - SQL) - WFH, Night Shift 工作, 薪水 up to SGD 150,000, Eclaro Business Solutions Incorporated 公司招聘中 - Ricebowl

Senior Data Analyst (Cloud - Python - SQL) - WFH, Night Shift

Eclaro Business Solutions Incorporated

SGD50,000 - SGD150,000 每月

Remote

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工作地点

  • Remote Singapore

职位描述

岗位职责

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.

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.

• 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.

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