RQ11162 - Predictive Analytics Analyst - Senior
Temporary
Maarut
Responsibilities
- Support predictive and advance analytics.
- Running of advanced analytic techniques, including but not limited to, multivariate regressions, discrete choice modeling, conjoint analysis, MaxdDiff, structural equation modeling, time-series/panel data methods, path analysis, factor analysis, or survival analysis.
- Interpretation and visualization of results.
General Skills
- Experience with Python, R, mongo, Hadoop or SQL SPSS, Stata, SAS, R, or similar statistical package capabilities
- Experience with econometric modeling such as forecasting and time series Experience with statistical software systems, performing analysis, and working with outcome oriented data
- Experience with statistical analysis with advanced data management and statistical programming
- Experience with data visualization Experience in the implementation and coding of algorithms
Requirements
Experience and Skill Set Requirements
1. Predictive Analytics & Modeling Expertise – 25%
- Depth of experience with statistical modeling and predictive techniques
- Application of methods (forecasting, segmentation, classification, etc.)
- Practical use of tools (Python, SQL, Databricks, etc.)
- Ability to apply methods to real-world business problems
2. Data Management & Technical Proficiency – 20%
- Experience working with large, complex datasets
- Knowledge of data pipelines and enterprise data environments
- Familiarity with Azure or comparable cloud platforms
- Data preparation, integration, and quality assurance practices
3. Insight Generation & Business Impact – 20%
- Ability to translate data into actionable insights
- Demonstrated influence on decision-making
- Experience defining KPIs and measurement frameworks
- Clarity and relevance of analytical outputs
4. Visualization & Communication – 15%
- Effectiveness of dashboards and reporting (Power BI or equivalent)
- Ability to communicate complex concepts simply
- Stakeholder engagement and storytelling capability
- Tailoring insights for technical vs. non-technical audiences
5. Collaboration & Delivery – 10%
- Experience in cross-functional and agile teams
- Ability to partner with business and technical stakeholders
- Contribution to team outcomes and delivery timelines
- Adaptability in fast-paced delivery environments
6. Leadership & Mentorship – 10%
- Experience mentoring or coaching analysts
- Providing technical guidance and standards
- Driving best practices in analytics and data usage
- Contributing to team capability development
Must Have:
- Practical use of tools (Python, SQL, Databricks, etc.)
- Experience with Power BI and SQL
- Knowledge of data pipelines and enterprise data environments
- Familiarity with Azure or comparable cloud platforms
- Implementing and managing Google Analytics tracking codes and Google Tag Manager.
Vacancy posted 3 days ago
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