Manager

LatentView Analytics Ltd.; Chennai; Presencial; INR 4 000 000 - 7 000 000; Tempo integral

Resumo da oferta

LatentView Analytics Ltd. is seeking a senior analytics leader in Chennai with 8–12 years of core analytics experience and 3+ years in a leadership/client-facing role. Fintech or Banking exposure is highly preferred. The role demands proficiency in SQL/Python/R and deep AI/ML expertise.

You will guide problem solving, deliver AI-driven analytics, and manage offshore client relationships while mentoring a team of data scientists and analytics consultants to drive revenue opportunities.

Qualificações

• 8–12 years of core analytics experience with leadership exposure
• 3+ years in a leadership/client-facing manager role in Fintech or Banking preferred
• Proficiency in SQL, Python, or R; strong communication with global stakeholders

Responsabilidades

• Translate complex client challenges into structured analytics frameworks and actionable AI roadmaps
• Lead analytics strategy across Fintech domains and drive commercial growth
• Serve as offshore liaison with senior stakeholders, expanding LatentView's footprint within accounts
• Mentor and deliver for a high-performing team of data scientists and analytics consultants

Conhecimentos

SQL

Python

R

AI/ML techniques

BI tools

Formação académica

Bachelor's or Master's in Data Analytics

Computer Science

Statistics

Mathematics

Economics

MBA

Ferramentas

Tableau

PowerBI

Databricks

Snowflake

BigQuery

Amplitude

Mixpanel

Descrição da oferta de emprego

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.

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:

   • Sales Analytics: Conversion Funnels, Sales Force Effectiveness, Pipeline Analytics, Cross-sell/Up-sell strategies.
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.).