Overview
On Site
$72.00 - $82.87 hourly
Contract - W2
Contract - Temp
Skills
Product Management
Business Data
Science
Product Strategy
Roadmaps
Decision-making
Modeling
Logistic Regression
Marketing
Presentations
Leadership
Collaboration
Business Intelligence
Instrumentation
Data Quality
Pricing
Underwriting
Reporting
Visualization
Analytics
Product Development
Testing
SQL
Python
Data Visualization
Tableau
Microsoft Excel
Communication
Data Engineering
Machine Learning (ML)
Predictive Modelling
Financial Services
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
A client with Kforce is seeking a FaaS Product Analyst to join their team in Mountain View, CA. This is a hybrid position.
Duties:
* Partner with product management, business, data science, and engineering to optimize Credit Karma's products and the client's ecosystem teams
* Analyze complex business problems and product funnels to uncover opportunities, identify drop-offs, and size potential impact
* Conduct exploratory and diagnostic analyses to shape product strategy, roadmaps, and decision making
* Design and analyze A/B tests and other experiments using statistical methods (frequentist/Bayesian) to validate hypotheses and measure impact
* Apply modeling techniques (e.g., logistic regression) to evaluate product and marketing performance
* Translate complex data into clear insights and presentations for leadership and cross-functional partners
* Collaborate with engineering and BI to ensure robust instrumentation, tracking, and data quality for new features and tests
* Monitor revenue and engagement funnels, assessing the effects of pricing, underwriting, approval models, and user behaviors
* Automate reporting and monitoring of key metrics using SQL, Python, and visualization tools
REQUIREMENTS:
* 6+ years of Business/Product Analytics experience (minimum 4+ acceptable for strong candidates)
* Expertise in product analytics, especially early-stage (zero-to-one) product development
* Strong experience in experimentation design, statistical testing, and causal inference
* Proficiency in SQL, Python, and data visualization tools (Looker or Tableau)
* Skilled in Excel/Google Sheets for quick analyses
* Excellent communication skills with both technical and non-technical stakeholders
Nice to Have:
* Exposure to data engineering and ML techniques for predictive modeling
* Background in technology and/or financial services
* Experience automating pipelines with Airflo
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
A client with Kforce is seeking a FaaS Product Analyst to join their team in Mountain View, CA. This is a hybrid position.
Duties:
* Partner with product management, business, data science, and engineering to optimize Credit Karma's products and the client's ecosystem teams
* Analyze complex business problems and product funnels to uncover opportunities, identify drop-offs, and size potential impact
* Conduct exploratory and diagnostic analyses to shape product strategy, roadmaps, and decision making
* Design and analyze A/B tests and other experiments using statistical methods (frequentist/Bayesian) to validate hypotheses and measure impact
* Apply modeling techniques (e.g., logistic regression) to evaluate product and marketing performance
* Translate complex data into clear insights and presentations for leadership and cross-functional partners
* Collaborate with engineering and BI to ensure robust instrumentation, tracking, and data quality for new features and tests
* Monitor revenue and engagement funnels, assessing the effects of pricing, underwriting, approval models, and user behaviors
* Automate reporting and monitoring of key metrics using SQL, Python, and visualization tools
REQUIREMENTS:
* 6+ years of Business/Product Analytics experience (minimum 4+ acceptable for strong candidates)
* Expertise in product analytics, especially early-stage (zero-to-one) product development
* Strong experience in experimentation design, statistical testing, and causal inference
* Proficiency in SQL, Python, and data visualization tools (Looker or Tableau)
* Skilled in Excel/Google Sheets for quick analyses
* Excellent communication skills with both technical and non-technical stakeholders
Nice to Have:
* Exposure to data engineering and ML techniques for predictive modeling
* Background in technology and/or financial services
* Experience automating pipelines with Airflo
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.