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Open nowPosted 6 days ago

Alteryx Automation Data Analyst

MyCareersFuture94,028 open roles

Pay
SGD 7,000 – SGD 10,500 a month
Where
Singapore
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Your applicationOpen nowAlteryx Automation Data AnalystMyCareersFuture · Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 6 days ago

The posting

Roles & Responsibilities

  • Engage with business and regulatory reporting stakeholders across APAC regions to understand reporting requirements, business rules, calculations, validations and submission processes.
  • Document existing As-Is reporting processes, including Excel spreadsheets, VBA/macros, manual adjustments, data transformations, reconciliations and dependencies.
  • Translate regulatory and business requirements into detailed functional and data requirements for automation.
  • Identify common and country-specific reporting requirements across APAC markets.
  • Perform detailed data profiling across source systems, databases, files and reporting datasets.
  • Analyze data structures, formats, completeness, quality, consistency, duplicates and anomalies.
  • Identify data gaps and work with business and technology teams to resolve data quality issues.
  • Validate source data against existing regulatory reports and business expectations.

Skills and Requirements

  • Strong experience as a Data Analyst, Business Data Analyst, or Alteryx Developer/Analyst.
  • Hands-on experience with Alteryx Designer and development of complex data preparation and automation workflows.
  • Strong experience in: Data profiling Data mapping Data transformation Data reconciliation Data quality analysis Requirements gathering
  • Advanced knowledge of Microsoft Excel, including complex formulas, pivot tables, lookups and macros/VBA.
  • Ability to understand and reverse-engineer complex Excel-based reporting processes.
  • Strong SQL skills for data extraction, profiling, analysis and validation.
  • Experience working with structured and semi-structured datasets from databases, Excel, CSV, flat files and other enterprise data sources.
  • Ability to translate business and regulatory requirements into technical transformation logic.
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