Manager
LatentView Analytics · Chennai · onsite · Posted 1d ago
Undisclosed12–17 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Designation : Manager
Level : L4
Location : Chennai, Tamil Nadu , India
Experience : 8 to 12 Years
Job Role :
Experience: 812 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: Bachelors or Masters degree in Data Analytics, Computer Science, Statistics, Mathematics, Economics, or an MBA from a top-tier institute.
Responsibilities :
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.).
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationCraftCredit ScoringCampaignclusteringfraud detectioncampaign optimizationbigqueryAnalyticsFunnel optimizationBankingData AnalyticsFintechDatabricksCommunication SkillsCustomer AcquisitionGenerative AiArtificial Intelligence
About LatentView Analytics
LatentView Analytics
IT Services & Consulting
958
employees
2006
20 years old
Chennai, Tamil Nadu
India
₹11.9L PA avg
Avg at LatentView Analytics
About
LatentView Analytics designs and engineers result-oriented analytics solutions, which enable to make intelligent decisions.
Industries
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Culture
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Career growth
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Work-life
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