Analyze business intelligence data to inform business and product decisions, blend historical data, identify industry and geographic trends, and model outcomes with other business areas.
Responsibilities
Analyze business intelligence data to inform business and product decisions
Blend historical data from industry reports, public information, field reports or purchased sources
Identify and analyze industry/geographic trends and competitor market strategies
Monitor current/potential customer trends
Partner with other areas of the business to model outcomes of implementing potential business strategies
Analyzing business intelligence data to inform business and product decisions, blending historical data, and identifying industry/competitor trends.
Responsibilities
Analyzing business intelligence data to inform business and product decisions
Blending historical data from available industry reports, public information, field reports or purchased sources as input to analyses
Identifying and analyzing industry/geographic trends and competitor market strategies and monitoring current/potential customer trends
Partners with other areas of the business (e.g., Marketing, Logistics, Customer Service, etc.) to model the outcome of implementing potential business strategies
Manages claims procedures and collaborates with internal and external stakeholders to ensure timely and accurate resolution of construction insurance claims.
Responsibilities
Manages claims procedures by collaborating with internal and external stakeholders
Selects and works with external legal counsel on litigated insured claims
Reviews company data and documents to ensure compliance with agency requests
Reviews insurance billing and invoice documents to ensure correct company coding
Tracks billing and payable accounts to identify and report erosion of insurance deductibles
Lead operational excellence and program coordination for GE Vernova’s Wind Engineering AI Strategy & Transformation team, driving process improvement, Agile execution, and cross‑functional alignment.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Own operational excellence for the AI Strategy & Transformation Team
Establish and improve standard work for meeting cadences, reporting, intake, and documentation
Lead Kaizen and Lean improvements to remove process inefficiencies
Build scalable templates, playbooks, and execution frameworks
Track team health indicators and capture lessons learned
Requirements
Bachelor's degree in a relevant field
MBA or advanced degree preferred
Nice to have: analytical and quantitative skills
Nice to have: excellent written and verbal communication
Experienced Technical Manager – Quarry Materials to provide specialist materials expertise across Queensland quarry operations, customers and contracting teams, focusing on source rock through to finished product.
Compensation
Speak to our Talent Acquisition or People & Culture team to learn more.
Responsibilities
Provide specialist advice on quarry materials, source-rock quality, geological variability and product performance across a range of applications.
Assess material suitability for road base, asphalt, concrete, sprayed sealing and stabilised pavement products.
Partner with Quarry Managers to improve crushing, screening, blending and stockpile practices, balancing quality, compliance and production efficiency.
Provide technical support to sales teams, customers and contracting teams, including specification reviews, material selection, tenders and product advice.
Lead material trials, quality investigations and product improvements, using test data and trends to identify risks, root causes and corrective actions.
Lead operational excellence and program coordination for GE Vernova’s Wind Engineering AI Strategy & Transformation team, driving efficiency, Lean improvements, and Agile execution across AI initiatives.
Compensation
For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas.
Responsibilities
Own operational excellence for the AI Strategy & Transformation Team
Establish and improve standard work for meeting cadences, reporting, intake, and documentation
Lead Kaizen and Lean improvements to remove process inefficiencies
Build scalable templates, playbooks, and execution frameworks
Track team health indicators and capture lessons learned
Requirements
Bachelor's degree in a relevant field
MBA or advanced degree preferred
Nice to have: strong analytical and quantitative skills
Nice to have: excellent written and verbal communication
Nice to have: experience preparing materials for senior and executive audiences
Lead employer brand strategy and content creation for a partner company’s self‑improvement app, managing full‑cycle production and social media presence.
Responsibilities
Develop employer brand on Instagram and LinkedIn
Plan and produce full‑cycle content including scripts, shoots, and final posts
Create team and workplace content such as interviews and behind‑the‑scenes videos
Grow organic audience and brand awareness
Establish consistent visual style across pages and brand assets
Provide analytic support (R and SAS) for established analyses of National HIV surveillance data, including descriptive analyses, frequency tables, data quality review, and production and dissemination of standardized surveillance products
Provide statistical support (R and SAS) for complex analyses of National HIV surveillance data, including incidence and lifetime risk estimation, statistical modeling, regression and trend analyses, and surveillance variable development and validation
Requirements
Bachelor’s degree in public health, statistics, or related field
Nice to have: Master’s degree in public health, statistics, or related field
Nice to have: experience with surveillance data
Nice to have: knowledge of HIV data and public health surveillance systems
Nice to have: experience with large (>500,000 observations) document-based datasets
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