Data Analyst With MDM knowledge
2 weeks ago
Position: Data Analyst With MDM knowledge
Location: Sydney
Duration: 6 months
Job Summary:
We are seeking a highly skilled and experienced
Data Analyst
with strong expertise in
Master Data Management (MDM)
to join our team. The ideal candidate will have a proven track record of working with large datasets, implementing MDM strategies, and delivering actionable insights to support business decisions.
Key Responsibilities:
- Analyze and interpret complex datasets to identify trends, patterns, and insights.
- Design and implement MDM solutions to ensure data consistency, accuracy, and integrity across systems.
- Collaborate with cross-functional teams to define data standards and governance policies.
- Develop and maintain dashboards, reports, and visualizations using BI tools.
- Perform data cleansing, transformation, and validation activities.
- Support data migration and integration efforts across platforms.
- Document data processes, workflows, and business rules.
Must-Have Skills:
- Minimum 6 years of experience in data analysis and data management.
- Strong hands-on experience with
Master Data Management (MDM)
tools and frameworks. - Proficiency in
SQL
,
Python
, or
R
for data manipulation and analysis. - Experience with
ETL processes
and data integration techniques. - Familiarity with
data governance
,
data quality
, and
metadata management
. - Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Nice-to-Have Skills:
- Experience with
cloud platforms
(e.g., AWS, Azure, GCP). - Knowledge of
data visualization tools
like Power BI, Tableau, or Qlik. - Exposure to
data warehousing
concepts and tools. - Understanding of
business domains
such as finance, retail, or healthcare. - Certification in MDM or data analytics.
Top 3 responsibilities:
- The Subcon should lead the implementation and governance of Master Data Management (MDM) solutions to ensure data accuracy and consistency.
- They must perform advanced data analysis and reporting to support business decisions using Python and PySpark.
- Additionally, they should collaborate across teams to integrate data sources and maintain high-quality data pipelines
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