Job Description & How to Apply Below
The Predictive Analytics Analyst will support predictive and advanced analytics initiatives by applying statistical modeling, data analysis, and visualization techniques to solve complex business problems. This role focuses on transforming large and complex datasets into actionable insights that support decision‑making across the organization.
Key Responsibilities Support predictive and advanced analytics initiatives across multiple domains
Apply advanced analytical techniques including, but not limited to:
Multivariate regression
Conjoint analysis
Max Diff
Structural equation modeling
Time‑series and panel data methods
Path analysis, factor analysis, and survival analysis
Interpret analytical results and translate them into clear, actionable insights
Design and develop data visualizations and dashboards
Implement and code analytical algorithms and models
Work with outcome‑oriented datasets to support forecasting and performance measurement
Collaborate with cross‑functional teams to deliver analytics solutions
Qualifications & Skills Strong experience with statistical modeling and predictive techniques
Application of forecasting, segmentation, and classification methods
Practical use of analytics tools such as Python, SQL, and Databricks
Ability to apply advanced methods to real‑world business problems
Data Management & Technical Proficiency (20%) Experience working with large and complex datasets
Knowledge of data pipelines and enterprise data environments
Familiarity with Azure or comparable cloud platforms
Data preparation, integration, and quality assurance experience
Insight Generation & Business Impact (20%) Ability to translate data into meaningful, actionable insights
Experience influencing decision‑making through analytics
Defining KPIs and measurement frameworks
Producing clear, relevant analytical outputs
Experience building dashboards and reports using Power BI or equivalent tools
Ability to explain complex analytical concepts clearly
Tailoring insights for technical and non‑technical audiences
Collaboration & Delivery (10%) Experience working in cross‑functional and agile teams
Strong collaboration with business and technical stakeholders
Contribution to team delivery timelines and outcomes
Adaptability in fast‑paced environments
Experience mentoring or coaching analysts
Providing technical guidance and setting analytical standards
Promoting best practices in analytics and data usage
Supporting team capability development
Must‑Have Requirements Hands‑on experience with Python, SQL, and Databricks
Experience with Power BI and SQL
Knowledge of enterprise data pipelines and environments
Familiarity with Azure or comparable cloud platforms
Experience implementing and managing Google Analytics tracking codes and Google Tag Manager
#J-18808-Ljbffr
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×