Data Analyst, Monee
Job Description
Job Description
- Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity.
- Critically evaluate and define business metrics; develop analysis that lead to actionable insights to support the continuous improvement of the Retail Finance business.
- Be a subject matter expert in retail finance business and data. Consolidate data from multiple sources including operations, marketing and source databases to create integrated views that can be used to drive decision making.
- Build and implement data visualisation of reports and dashboards for management and business users.
- Currently pursuing/possesses a Bachelor's Degree or above in Computer Science/Engineering, Business Analytics, Information Technology, Finance/Banking, Statistics, and other related fields at a reputable university with strong academic credentials/results, expected to graduate by July 2027 and join us by August 2027
- Proficiency in SQL and Python
- Familiar with data visualization tools
- Work well with cross-functional teams in a fast-paced environment
- Prior internship/full-time/part-time working experience in business intelligence/analytics related roles is a plus
- Experience in finance/banking industry is a plus
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About Company
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Skills:
laboratory equipment , Software Tools, GenAI, Data Analysis, structured problem-solving tools, Diagnostic Trees, engineering documentation, 8D, bench test setups, module schematics, Failure Analysis, dashboard visualization
Skills:
Sql, Power Bi, Ms Excel, Tableau
Skills:
Alteryx, Power Bi, Tableau, Data Cleansing, Microsoft Excel, Python, Sql, Analytics automation, Generative AI tools, AI-enabled audit procedures
Skills:
Bi Tools, Data Lineage, Excel, Automation, Sql, Python, Validation methodologies, GenAI, Data quality controls, R, Ai
Skills:
Power Bi, Tableau, Workato, Sql, Amazon Redshift, Azure Synapse Analytics, Excel, Python, ToolJet, Stitch, n8n, Airbyte, Integromat, Segment, make, Google BigQuery, Appsmith, Zapier, Metabase, Fivetran, Tray.io, Retool