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Data Analyst

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Hybrid

Data Analyst

Futops

Data Analyst

Skills

SQL QueriesTableauPythonData ScienceData VisualizationPostgreSQLData AnalysisMachine LearningAIPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Hybrid

Published on:

15 September 2026

What they need


Hiring for our MNC client

Key Duties and Responsibilities

  • Handling end-to-end Analytics process i.e. Data pipeline, analysis, model creation and report generation; includes KPI monitoring and development of business dashboards for data-driven decision-making

  • Data storytelling, EDA, and process automation to improve operational efficiency

  • Wireframing and Dashboard development

  • Proficient in below items:

  • Implementing techniques in ML and other data modeling (e.g. predictive modelling, causal analysis, root cause analysis, A/B testing, time series forecasting, etc.)

  • Maintenance and development of PostgreSQL DataBase and SQL query formulation

  • Statistical concepts and data visualization

  • Business reporting & process automation

  • Dashboard development

  • Handle customer/ project team meetings and able to respond to the data and analytics report-related questions and able to understand their new requirements and provide relevant output; strong stakeholder management skills including engagement with Japanese and cross-cultural leadership teams

  • Research for additional data/insights from secondary sources and linking it with their data analysis

  • Work from client location

Apart from the above-mentioned project-specific activities, the team member is required to have

  • Strong evidence of substantial analysis, report writing, and presentational work using MS Office, Excel, Word, and PowerPoint.
  • Be able to conduct secondary research and network with industry professionals to stay updated on innovations and best practices in the data science fields & logistics industry and apply these to tasks
  • Strong techno-functional skills
  • Excellent written and verbal communication skills

Experience requirement

  • 2+ years of experience in Analytics Consulting or Data Science, with demonstrated progression to a senior individual contributor role

Tools expertise:

  • Python
  • SQL and PostgreSQL
  • Power BI
  • Tableau
  • GenAI- Claude

Preferred course:

  • Data Science & AI course(s); certifications such as Tableau Desktop Specialist or equivalent BI/ML credentials preferred; Diploma/PG qualification in AI & Machine Learning is an added advantage

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