About This Opportunity
Judit Inc. is hiring on behalf of one of our largest clients — a global technology leader in consumer electronics, semiconductors, and mobile communications. This is a temporary, contract position: you'll be employed by Judit Inc. and work directly alongside our client's team.
The description below is our client's overview of the background, skills, and experience they're looking for. If you meet most — but not all — of these, we still want to hear from you. Your Judit recruiter will walk you through the day-to-day work, schedule, pay, and contract length before anything moves forward.
What you'll do
You'll help build integrated marketing intelligence for a major consumer technology brand, bringing together data from internal teams, agencies, and partners, validating it, and using approved AI tools to turn it into clear, repeatable reporting. This role suits a curious, critical thinker who is comfortable with messy, unstructured information and enjoys asking how a number was built before using it.
- Collect, organize, and analyze marketing data and insights from internal teams, agencies, vendors, and other partners, in formats including Excel files, manual tables, PowerPoint decks, research outputs, and measurement deliverables
- Review source data and documentation to understand KPI definitions, methodologies, time periods, populations, granularity, assumptions, and limitations
- Validate, reconcile, and quality-check data across disparate files and outputs, and work directly with source owners to resolve inconsistencies, gaps, and methodology changes
- Structure and standardize information to support integrated analysis and recurring reporting
- Analyze marketing, consumer, brand, competitive/market, marketing effectiveness, and business information to find trends, changes, and relationships worth investigating
- Use approved generative AI tools (Gemini, Claude, Claude Cowork) for data analysis, synthesis, report generation, and workflow automation, and validate AI outputs against original sources
- Build and maintain recurring integrated Marketing Intelligence reporting, including HTML-based outputs generated through approved AI tools
- Partner with Marketing teams to find lengthy, repetitive, or manual processes that AI can simplify; document current processes, build and test AI-enabled workflows, and set up repeatable quality-control steps
- Measure process improvements by reductions in manual effort, steps, or turnaround time
- Support marketing effectiveness work, including MMM and MTA data coordination, quality assurance, organizing model outputs and scenarios, documentation, and first-pass analysis
- Keep historical outputs, assumptions, methodologies, and documentation organized for consistent, reusable analysis
- Share findings, data issues, and open questions clearly with Marketing Intelligence leadership and stakeholders
What you'll bring
- Bachelor's degree in Business Analytics, Marketing Analytics, Data Analytics, Statistics, Economics, Marketing, or a related field, or equivalent relevant experience
- 3–5+ years of experience in marketing analytics, data analytics, marketing measurement, or a related analytical role
- Advanced Excel skills, including cleaning, manipulating, reconciling, and analyzing data from multiple sources
- Analytical and problem-solving skills, with a habit of investigating data rather than simply reporting the metrics you're given
- A solid grasp of data concepts: dimensions, measures, aggregation, KPI construction, data quality, reconciliation, and basic statistics
- Working knowledge of marketing analytics and measurement across paid media, the marketing funnel, brand/consumer measurement, and business outcomes
- Comfort working with incomplete or unstructured information and creating structure where none exists
- The confidence to understand and challenge data definitions, methodologies, assumptions, and outputs
- Clear written and verbal communication with stakeholders, agencies, vendors, and data owners
- The ability to manage multiple workstreams independently in a cross-functional Marketing environment
- Experience using generative AI tools for analysis, synthesis, workflow improvement, or productivity, or a demonstrated ability to learn and apply them quickly
Nice to have
- Experience with Tableau, Power BI, or other data visualization tools
- Experience working with marketing agencies, research providers, measurement vendors, or other external partners
- Exposure to Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or incrementality measurement
- Experience building or improving analytical workflows, reporting processes, or AI-enabled automation
- Experience across paid media, brand/consumer research, competitive intelligence, and business-performance data