Lead advanced product analytics for a consumer product team by analyzing complex data, designing experiments, applying statistical and causal inference methods, developing metrics and reporting tools, and delivering actionable recommendations to cross-functional stakeholders and senior leadership. The role requires strong Python or R and SQL skills, product analytics experience, AI-assisted analytics proficiency, and the ability to influence product strategy.
About the Role
We're looking for a Lead Advanced Analyst to support a fast-moving consumer product team. This role sits at the intersection of data, product, and strategy - using rigorous analysis, experimentation, and statistical modeling to shape decisions that directly impact the product experience. You'll work closely with Product, Engineering, Finance, Marketing, Operations, and Data Science teams to turn complex data into clear, actionable direction, and you'll have real influence over how the product evolves.
Key Responsibilities- Work with large, complex data sets to solve challenging analytical problems using a range of statistical and quantitative methods
- Apply quantitative analysis, experimentation, data mining, and forecasting to identify trends that inform product and business decisions
- Collaborate cross-functionally with Product, Engineering, Finance, Marketing, Operations, Data Science, and Analytics Engineering teams to deliver actionable insights
- Design, execute, and analyze experiments to measure feature impact, using causal inference methods when randomized trials aren't feasible
- Design and build metrics and dimensions to monitor product and business performance
- Build reporting and analytical tools that enable stakeholders to make data-driven decisions
- Present findings and recommendations clearly to stakeholders, including senior leadership
- Stay current on industry trends and advancements in quantitative and qualitative analysis techniques
- Use AI tools to automate repetitive analytical work and support stakeholder self-service
- 6+ years of industry experience in a quantitative field (Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research, or similar); Master's or PhD a plus
- Prior experience in an advanced analytics or product data science role
- Strong business acumen and strategic thinking, with the ability to conduct rigorous analysis and make sound judgment calls
- Excellent communication skills, able to explain complex concepts clearly to a range of audiences
- Proven stakeholder management skills, with the ability to collaborate and influence across functions
- Experience partnering directly with product teams on analytics strategy, experimental design, and measurement
- Experience analyzing A/B experiments and statistical data
- Experience designing and building metrics, from concept through data pipeline implementation
- Strong proficiency in Python or R, plus SQL
- Experience with AI-assisted analytics tools (e.g., Claude, ChatGPT)
- A growth-minded, agile approach with a track record of driving projects from idea to impact
- Start Date: September 15, 2026
- Duration: Through March, 2027
- Location: Remote (within the US)
- Work Schedule: Full-time, 40 hours/week (8 hours/day, 5 days/week)
- Pay Rate: $115-$128/hour + benefits (Medical, Dental, Vision, 401K)
- Positions Available: 1
- Engagement: Contract role through Maleda Tech
- Work Authorization: Must be authorized to work in the U.S. without sponsorship
Similar Jobs
Other • Utilities
Senior enterprise sales leader responsible for winning Fortune 1000 new logos and expanding strategic accounts. Build C‑suite relationships, architect tailored technology solutions, lead complex multi-stakeholder deals, manage pipeline and forecasting via CRM, and coordinate cross-functional execution for global, high-value clients.
Top Skills:
CRM
Machine Learning • Payments • Security • Software • Financial Services
Provides enterprise technology support through phone, ticketing, and potentially chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents and escalations; documents resolutions in ServiceNow or similar ITSM tools; analyzes trends and operations data; supports knowledge management, training, process improvement, and automation; and coaches junior analysts while maintaining customer service, security, and confidentiality standards.
Top Skills:
Call Center TechnologiesHardware InfrastructureItsmNetworkingServicenow
Machine Learning • Payments • Security • Software • Financial Services
Designs, develops, tests, deploys, documents, maintains, and debugs software solutions for PNC’s Asset Management Group. The role addresses complex business needs through technical design, application development, architecture, troubleshooting, testing, and release management. It is remotely based in Pennsylvania, with occasional in-office participation as needed.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
