

Value Innovation Labs
Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Analytics Engineer in digital banking, requiring 10+ years of experience, proficiency in SQL and dbt, and expertise in Python or R. Contract length and pay rate are unspecified. Location: Irwindale, CA (Onsite).
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
April 29, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
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🧠 - Skills detailed
#BigQuery #dbt (data build tool) #AI (Artificial Intelligence) #Storytelling #SQL (Structured Query Language) #Observability #Amplitude #Scala #ChatGPT #ML (Machine Learning) #R #A/B Testing #Python #Snowflake #Redshift #BI (Business Intelligence) #Monitoring #Data Quality #Looker
Role description
🚨 Now Hiring – Analytics Engineer (Digital Banking) 🚨
📍 Location: Irwindale, CA (Onsite)
🛂 Visa: Preferred USC / GC / TN / H1B
We are looking for an Analytics Engineer with 10+ years of experience to own the data infrastructure, metrics framework, and experimentation engine for digital banking products.
🔹 Key Responsibilities:
• Build and manage scalable data models (dbt)
• Design robust event tracking frameworks with engineering teams
• Develop dashboards using Amplitude, Mixpanel, Looker
• Enable self-serve analytics across product and business teams
• Design, run, and analyze A/B tests with statistical rigor
• Perform deep-dive analysis: funnels, cohorts, retention, feature adoption, revenue impact
• Ensure data quality, monitoring, and observability
• Deliver insights and recommendations to stakeholders
• Use AI tools for faster analysis and pattern detection
🔹 Required Skills:
• Strong expertise in SQL and dbt
• Proficiency in Python or R
• Experience with modern data stacks: Snowflake, BigQuery, Redshift
• Strong understanding of experimentation frameworks and event taxonomy
• Experience with BI tools and analytics platforms
• Basic knowledge of ML concepts
• Strong storytelling with data and business communication
🔹 AI & Modern Analytics:
• Hands-on experience with Hex, dbt AI, ChatGPT, Amplitude AI
• Ability to accelerate analysis, experimentation, and monitoring using AI
🔹 Ideal Candidate:
• 4–7+ years in analytics/data roles (fintech or high-scale digital products preferred)
• Experience building self-serve analytics ecosystems
• Strong understanding of financial metrics (CAC, LTV, revenue drivers)
• Hypothesis-driven mindset with strong problem-solving skills
📩 Interested candidates or referrals – feel free to connect or share profiles!
#Hiring #AnalyticsEngineer #DataEngineering #DigitalBanking #Fintech #SQL #dbt #AI #DataAnalytics #CaliforniaJobs #TechJobs
🚨 Now Hiring – Analytics Engineer (Digital Banking) 🚨
📍 Location: Irwindale, CA (Onsite)
🛂 Visa: Preferred USC / GC / TN / H1B
We are looking for an Analytics Engineer with 10+ years of experience to own the data infrastructure, metrics framework, and experimentation engine for digital banking products.
🔹 Key Responsibilities:
• Build and manage scalable data models (dbt)
• Design robust event tracking frameworks with engineering teams
• Develop dashboards using Amplitude, Mixpanel, Looker
• Enable self-serve analytics across product and business teams
• Design, run, and analyze A/B tests with statistical rigor
• Perform deep-dive analysis: funnels, cohorts, retention, feature adoption, revenue impact
• Ensure data quality, monitoring, and observability
• Deliver insights and recommendations to stakeholders
• Use AI tools for faster analysis and pattern detection
🔹 Required Skills:
• Strong expertise in SQL and dbt
• Proficiency in Python or R
• Experience with modern data stacks: Snowflake, BigQuery, Redshift
• Strong understanding of experimentation frameworks and event taxonomy
• Experience with BI tools and analytics platforms
• Basic knowledge of ML concepts
• Strong storytelling with data and business communication
🔹 AI & Modern Analytics:
• Hands-on experience with Hex, dbt AI, ChatGPT, Amplitude AI
• Ability to accelerate analysis, experimentation, and monitoring using AI
🔹 Ideal Candidate:
• 4–7+ years in analytics/data roles (fintech or high-scale digital products preferred)
• Experience building self-serve analytics ecosystems
• Strong understanding of financial metrics (CAC, LTV, revenue drivers)
• Hypothesis-driven mindset with strong problem-solving skills
📩 Interested candidates or referrals – feel free to connect or share profiles!
#Hiring #AnalyticsEngineer #DataEngineering #DigitalBanking #Fintech #SQL #dbt #AI #DataAnalytics #CaliforniaJobs #TechJobs






