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2 дня назад

Data Analytics Consultant (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Analytics Consultant (AI): Building reports, dashboards, ETL workflows, and AI-driven analytical solutions for business operations with an accent on Python-based data transformation, reporting automation, and predictive analytics. Focus on validating data integrity, translating complex datasets into actionable insights, and improving data architecture with cross-functional teams.

Location: Bengaluru, India

Company

hirify.global delivers data analytics, business intelligence, and AI solutions for business decision-making and process improvement.

What you will do

  • Gather, clean, analyze, and validate data to support business operations and decision-making.
  • Design, develop, and maintain reports and dashboards using Power BI, Qlik, or similar tools.
  • Transform data and automate extraction, transformation, and loading processes with Python and other automation tools.
  • Apply AI techniques and develop business-focused solutions for predictive analytics, process optimization, and automation.
  • Define KPIs with stakeholders and deliver ad-hoc reports, visualizations, insights, and recommendations.
  • Improve reporting processes and collaborate with IT and data engineering teams on data architecture.

Requirements

  • 8+ years of experience in data analysis and reporting roles.
  • Proficiency in Python for data analysis, including Pandas and NumPy, and experience with SQL.
  • Experience with Power BI, Qlik, or similar business intelligence and reporting tools.
  • Knowledge of ETL processes, data visualization, cloud platforms such as AWS, Azure, or Google Cloud, and AI or machine learning concepts.
  • Experience working with large datasets and delivering accurate, actionable insights to business stakeholders.
  • Graduate or postgraduate degree in Computer Science, Information Science, Electronics, or an equivalent field.

Nice to have

  • Experience with Git or other version control systems.
  • Knowledge of statistical analysis, machine learning models, data governance, and data security best practices.
  • Knowledge of vehicle systems.

Culture & Benefits

  • Collaborative work across business, IT, and data engineering teams.
  • Focus on analytical problem-solving, clear communication, and high-quality delivery.
  • Opportunity to work on AI, automation, business intelligence, and process improvement initiatives.

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