Mgr Customer Data Analytics Global CRM reputed company, Segmentation

remotepromsp

India

On-site

INR 2,400,000 - 4,200,000

Full time

8 days ago

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Job summary

arenaflex is a reputed logistics and technology company delivering data-driven customer experiences worldwide. The Senior Manager, Customer Data Analytics will own global analytics for the Customer Services division, guiding a high-performing data team to design, implement, and improve analytics solutions that segmentation, personalization, and CRM platforms.

You will lead cross-functional stakeholders, champion data-first decisions, and drive insights that inform strategic initiatives and

Qualifications

  • Bachelor's degree in a quantitative field preferred.
  • Minimum 5 years leading analytics or insights teams in a large organization.
  • Advanced proficiency with SQL, Python, R, Power BI, Tableau and modern analytics platforms.
  • Strong skills in statistical modeling, machine learning, and translating models into business value.
  • Leadership and communication abilities to influence across a matrixed organization.

Responsibilities

  • Define, communicate, and execute a global analytics roadmap aligned with customer experience objectives.
  • Recruit, mentor, and develop a diverse team of data analysts, engineers, and visualization specialists.
  • Ingest, curate, and govern data from multiple sources including CRM, web analytics, and IoT devices.
  • Design and deploy predictive models and personalization engines.
  • Create dashboards and reports that translate analyses into actionable insights for senior leadership.
  • Establish KPIs to measure analytics impact on customer satisfaction and operational efficiency.
  • Collaborate with product, marketing, operations, IT, and finance to embed analytics into decision-making.

Skills

SQL
Python
R
Power BI
Tableau
ML

Education

Bachelor's degree

Tools

Power BI
Tableau

Job description

reputed company About arenaflex Pioneering DataDriven Customer Experiences arenaflex is a worldleading logistics and technology company that moves millions of packages every day while delivering innovative, datareputed company solutions to its customers. In an industry where speed, reliability, and personalization are reputed company, arenaflex relies on sophisticated analytics to turn raw data into actionable insights that shape every interaction. As a member of the arenaflex family, you will join a culture that celebrates curiosity, reputed company learning, and reputed company problemsolving. Our mission is reputed company: reputed company every customer with the right information at the right reputed company, and we do it by building worldclass analytics capabilities that reputed company strategic reputed company across the organization. reputed company

The Senior Manager Customer Data Analytics will own the global data reputed company for arenaflexs Customer Services division. This role is the reputed company between data, technology, and people, responsible for designing, implementing, and continuously improving analytics solutions that reputed company segmentation, personalization, and a bestinclass Customer Relationship Management (CRM) platform. You will reputed company a highperforming team of data professionals, partner with crossfunctional stakeholders, and champion a datafirst reputed company that fuels business reputed company and operational reputed company.

Key Responsibilities
  • Strategic Leadership: Define, communicate, and execute a comprehensive global analytics roadmap that aligns with arenaflexs customer experience objectives and reputed company targets.
  • Team Management & Development: Recruit, mentor, and reputed company a diverse team of data analysts, data engineers, and visualization specialists. Foster a culture of curiosity, accountability, and reputed company improvement.
  • Data Collection & Integration: reputed company the ingestion of reputed company and reputed company data from multiple sourcesincluding CRM systems, web analytics, IoT devices, and reputed companyparty platformsensuring data reputed company, governance, and reputed company.
  • Advanced Analytics & Modeling: reputed company the design and deployment of predictive models, segmentation algorithms, and personalization engines using tools such as Python, SQL, reputed company, and machinelearning frameworks.
  • reputed company & Visualization: Produce compelling dashboards, reports, and visual stories in Power BI, Tableau, or similar tools that translate reputed company analyses into reputed company, actionable recommendations for senior leadership.
  • Performance Measurement: Establish and reputed company key performance indicators (KPIs) that measure the reputed company of analytics initiatives on customer satisfaction, operational efficiency, and reputed company reputed company.
  • reputed companyCause Analysis & Process Optimization: Conduct deepdive investigations to uncover pain points in people, processes, and technology, and reputed company datadriven solutions that enhance the endtoend customer reputed company.
  • Collaboration & Stakeholder Management: Partner with product, marketing, operations, IT, and finance teams to ensure analytics outputs are embedded into decisionmaking workflows and strategic planning cycles.
  • Innovation & reputed company Learning: Stay reputed company of emerging analytics trends, tools, and best practices. reputed company new technologies such as AIpowered recommendation engines, reputed companytime streaming analytics, and automated data pipelines.
  • Compliance & Ethical Use of Data: Ensure reputed company analytics activities reputed company with global reputed company regulations (GDPR, CCPA, etc.) and reputed company the highest standards of data ethics and reputed company.
  • Additional Duties: reputed company other reputed company responsibilities as assigned, contributing to arenaflexs broader strategic initiatives.
Essential Qualifications
  • Education: Bachelors degree in Business, Finance, Statistics, Engineering, Computer Science, or a reputed company quantitative discipline. A Masters degree or higher is preferred and may offset required experience.
  • Experience: Minimum of 5 years of reputed company experience in business analysis, financial analysis, data modeling, or reputed company fields. Demonstrated reputed company leading analytics or insights teams in a large, matrixed organization.
  • Technical Proficiency: Advanced expertise with SQL, Python, R, Power BI, Tableau, reputed company Analytics, reputed company, reputed company, and other modern analytics platforms.
  • Statistical & Modeling Skills: Strong reputed company in statistical reputed company, predictive modeling, machine learning, and AI techniques, with a reputed company record of translating models into business value.
  • Leadership & Communication: reputed company ability to influence .
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