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SAS Data Analyst jobs

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    •  Interrogates the data warehouse and extracting relevant data for a range of adhoc and regular projects and.
    •  Experience with data visualization with Tableau…
    • Understand data structures and business and extract and integrate required data sources for analysis according to business requirements.
    • 3+ years of experience in Base SAS, SAS Enterprise Guide.
    • SAS Data Integration Studio experience highly desirable.
    • Lead and mentor junior data analysts/scientists in a closely collaborative data science project team.
    • Comprehensive understanding of data structures, and…
    • Role Specification Data Analyst Analyse, code, develop, deploy and test pricing data Present trends and business cases to management and enable business…
    • Advanced knowledge of data and AI ecosystem, competitive landscape, data lake infrastructure and modern data architecture.
    • Work with enterprise data platforms including Teradata, Aster, Netezza, Oracle, and cloud-based data warehouses.
    • Job Type: Full-time, Permanent.

Job Post Details

SAS - Analyst - job post

Pyramid Global Technologies
Victoria
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Location

Victoria

Full job description

About the job SAS - Analyst

Job Description:

Key Skills
 3+ Years’ experience in analytics, economics, insights or other quantitative analysis within a corporate
environment.
 Experience in SAS programming language.
 Experience with data visualization with Tableau or other tools would be advantageous.
 Proven ability to undertake complex data and statistical analysis using relevant tools.
 Uses analytical techniques to provide data-driven recommendations and reports results in a meaningful,
logical and concise manner
 Diagnose reporting and analytics problems to understand the root causes, including gathering and analyzing
data.
 Design, develop and implement interventions to address the root causes, improving the governance,
process, technology and people components in collaboration with SMEs.
 Provide input into project management artefacts including schedule, risk and issue registers and status
reporting.

Key Responsibilities
 Works on complex problems where analysis of situations or data requires an in-depth evaluation of various
factors. Specifically formulates and defines business and operational data requirements through research
and fact-finding.
 Works closely with internal stakeholders to identify and clarify basic to moderately complex business
requirements.
 Succinctly converts business requirements into scope of work with clear timelines, roles and responsibilities
for delivery.
 Interrogates the data warehouse and extracting relevant data for a range of adhoc and regular projects and
reports.
 Provides value added analysis and insight to internal and external stakeholders.
 Ensure health services data is leveraged to maximum commercial and operational advantage.

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