Principal Analyst on the Merchandising Data and Analytics Enablement Team at Walmart. Leading advanced modeling, experimentation, and data integration to improve merchandising decision - making.
About the role
- Senior Data Analyst analysing data that informs product design and delivery for Australian Electoral Commission. Collaborating with stakeholders and ensuring data quality for evidence-based decision-making during software development lifecycle.
Responsibilities
- Collaborate with business stakeholders and cross functional teams to define requirements for data products, analytics, and reporting dashboards.
- Gather, clean, and analyse data from various systems to generate actionable insights.
- Develop and maintain automated reports and dashboards to monitor key metrics.
- Design, plan, and manage data migrations, including risk assessment, mapping, testing, and documentation to ensure successful transfer of data between systems.
- Provide subject matter expertise, helping to design and build new systems to perform analytics and detection of non-compliance in a regulatory context.
- Support workflow automation and troubleshoot data-related integration issues.
- Provide strategic recommendations and support process improvements based on data analysis.
- Perform additional duties or assume responsibility of functions as directed from time to time.
Requirements
- Bachelor’s degree in Computer Science, Communications, or a similar field.
- Proven experience as a data analyst, with strong technical skills in designing data models, developing databases, and using data mining and segmentation techniques.
- Able to write data queries, create reports, and clearly present findings.
- Strong analytical skills to collect, organise, analyse, and accurately interpret large datasets, identifying trends, patterns, and actionable insights.
- Expertise in developing dashboards and data visualisations using Power BI, Tableau, or similar BI tools.
- Ability to work in a team environment delivering a high level of customer service, with the ability to build strong working relationships and trust with clients, stakeholders and senior management.
- Excellent communication skills, with the ability to present complex technical findings clearly to non-technical stakeholders.
- Qualifications in Mathematics, Economics, Computer Science, Information Management or Statistics
- Experience using reporting and statistical software, databases, and programming (SQL, Python, R, or ETL frameworks) for extracting, manipulating, automating, and analysing large datasets.
- Knowledge or experience working with Microsoft DevOps is highly desirable.
- Experience using any of the following software (Purview, Azure Data Factory, Profisee, ER Studio, Erwin)
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