Analytics Manager

Job Role:

Experience: 8–12 years of core analytics experience, with at least 3+ years in a leadership/client-facing manager role (Fintech or Banking experience highly preferred).

AI & Technical Stack:

• Proficiency in SQL, Python, or R.
• Deep experience with AI/ML techniques (Predictive Modeling, Clustering, NLP, or Generative AI integrations) used in daily problem-solving.
• Hands-on familiarity with BI & Data tools (Tableau, PowerBI, Databricks, Snowflake, BigQuery, Amplitude, Mixpanel, etc.).

Client & Communication Mastery:

Flawless verbal and written communication skills with a proven track record of managing and presenting to global (US/UK/EU) stakeholders.

Business Acumen:

Demonstrated ability to drive commercial growth, craft client proposals (RFP/pitches), and convert insights into revenue opportunities.

Education:

Bachelor's or Master's degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, or an MBA from a top-tier institute.

Key Responsibilities:

1. Problem Solving & Technical Leadership

• Translate complex, ambiguous client business challenges into structured analytics frameworks, technical solutions, and actionable AI roadmaps.
• Apply AI and Machine Learning natively into daily analytics workflows, automation routines, and client deliverables.
• Deliver hands-on analytical work while reviewing team deliverables to ensure technical accuracy, business context, and high presentation quality.

2. Domain Expertise (1+ Core Areas)

Lead analytics strategy across at least one or more key Fintech functions:

• Marketing Analytics: Customer Acquisition Cost (CAC), Campaign Optimization, Multi-Touch Attribution, LTV Modeling.
• Sales Analytics: Conversion Funnels, Sales Force Effectiveness, Pipeline Analytics, Cross-sell/Up-sell strategies.
• Product Analytics: User Behavior Analysis, Feature Adoption, A/B Testing, Churn Prediction, Onboarding Funnel Optimization.
• Risk Analytics: Fraud Detection, Credit Scoring Models, Underwriting Analytics, Portfolio Risk Monitoring.

3. Client Management & Account Growth

• Serve as the primary offshore liaison, building deep trust and maintaining fluent, impactful communication with senior executive stakeholders.
• Cross-pollinate ideas: Transfer best practices, successful frameworks, and innovative use cases across different business units within the client organization.
• Proactively identify whitespace opportunities, draft compelling solution pitches, and partner with onshore leadership to expand LatentView's foot-print within the account.

4. Team Mentorship & Delivery Management

• Lead, mentor, and upskill a high-performing team of data scientists and analytics consultants.
• Drive delivery excellence, ensuring timelines, resource allocation, and quality standards meet client expectations.

Required Skills:

Proficiency in SQL, Python, or R. Deep experience with AI/ML techniques (Predictive Modeling, Clustering, NLP, or Generative AI integrations) used in daily problem-solving. Hands-on familiarity with BI & Data tools (Tableau, PowerBI, Databricks, Snowflake, BigQuery, Amplitude, Mixpanel, etc.).