2 дня назад
Data Analytics Consultant (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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