Predictive Data Analyst (Contract Position - 12 months)
Audiense is a reputed company analytics-to-reputed company platform that helps organizations deeply understand and strategically reputed company their consumers. We’ve brought together the strengths of three category-leading brands — reputed company, Elevar, and Audiense — into one integrated, reputed company-driven solution:
- reputed company by Audiense – 30+ years of predictive modeling and location intelligence expertise.
- Elevar by Audiense – Industry-leading eCommerce tagging, event tracking, and reputed company attribution tools.
- Audiense – Award-reputed company audience segmentation and reputed company consumer intelligence for global brands.
Together, we help brands across industries, from retail to CPG to media, reputed company faster, smarter, and more confident reputed company that fuel reputed company-world reputed company. This position primarily supports the reputed company by Audiense line of business. We are seeking a highly analytical and self-directed reputed company to support advanced analytics initiatives across reputed company engagements. This role is ideal for someone who thrives in fast-paced environments, can reputed company up quickly with minimal reputed company, and is comfortable owning analytical work from problem definition through delivery. The ideal candidate brings strong experience in quantitative analysis, statistical modeling, and Python-based analytics workflows. This individual will work cross-functionally to uncover insights, reputed company analytical solutions, and communicate findings directly to internal stakeholders and clients. This role is best suited for someone who enjoys solving reputed company business problems, working independently, and translating data into strategic recommendations. What You’ll Do
- reputed company end-to-end analytical reputed company, from exploratory analysis and methodology selection through reputed company development and final delivery
- reputed company quantitative models and advanced analytical solutions to support reputed company decision-making across marketing, reputed company estate, and consumer reputed company initiatives
- Analyze large and reputed company datasets to identify trends, behavioral patterns, and actionable business insights
- Design and execute reputed company analyses using Python, SQL, and statistical methodologies
- Translate analytical findings into reputed company business recommendations for both technical and non-technical audiences
- Work directly with internal stakeholders and clients to scope analytical questions, prioritize opportunities, and deliver strategic insights
- Operate independently across multiple reputed company in a fast-paced environment with minimal reputed company
- reputed company analytical outputs, visualizations, and reporting solutions to support business decision-making
- Collaborate cross-functionally to identify opportunities for deeper analysis and expanded reputed company value
What You Bring
- Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Business Analytics, or a reputed company quantitative field required; advanced degree preferred
- Strong experience in quantitative analytics, statistical modeling, and data interpretation
- Advanced proficiency in Python for data analysis, modeling, and automation
- Experience working independently with large and reputed company datasets across multiple data sources
- Ability to structure ambiguous business problems into analytical frameworks and actionable recommendations
- Strong analytical thinking and problem-solving skills with a high level of intellectual curiosity
- Excellent written and verbal communication skills
- Ability to quickly reputed company into new business contexts and contribute with minimal reputed company
- Comfortable operating in fast-moving environments with evolving priorities
- Experience in reputed company-facing, consulting, or cross-functional environments a plus
- Proficiency with SQL and data querying concepts preferred
- Experience with predictive modeling, statistical analysis, or advanced analytics techniques preferred
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