130 Data Analysis jobs in Vadodara

• Develop, manage, and analyze geographic information systems (GIS) databases.
• Utilize GIS software (e.g., ArcGIS, QGIS) for spatial analysis and data manipulation.
• Process and analyze remote sensing data (satellite imagery, aerial photography).
• Create thematic maps, visualizations, and reports for agricultural and forestry applications.
• Conduct spatial analysis to identify patterns, trends, and relationships.
• Collaborate virtually with agricultural experts, researchers, and stakeholders.
• Develop and implement data collection and management strategies.
• Automate GIS workflows using scripting languages (e.g., Python).
• Support land use planning, environmental monitoring, and resource management.
• Stay updated on the latest GIS and remote sensing technologies.

• Bachelor's or Master's degree in GIS, Geography, Environmental Science, Agriculture, or a related field.
• Minimum of 5 years of experience in GIS analysis and spatial data management.
• Proficiency in GIS software (ArcGIS Suite, QGIS) and data analysis tools.
• Experience with remote sensing data processing and interpretation.
• Knowledge of agricultural principles and/or forestry practices is a strong asset.
• Experience with scripting languages like Python for GIS automation.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills for remote teamwork.
• Ability to work independently and meet deadlines in a remote setting.

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

About Company

Concentrix is a technology-enabled global business services company specializing in customer engagement and business performance. With more than 4,00,000 staff, Concentrix is present across 40 countries and six continents. We are considered as a category leader in the CXM (Customer Experience Management) Services. You may please visit the website-

Role - Business Intelligence

Location - PAN INDIA

Experience: 4- 7 Years

Mode of Work - Remote

Shift - Night Shift (5:30pm IST to 2:30am IST)

Notice Period: Immediate to 15 Days max

JD

Mandate skills-

• Min 3+years experience
• Strong knowledge of BI tools (Power BI and Tableau)
• Experience in Excel
• Knowledge in SQL and data modeling concepts.

Job Description

Key Responsibilities

• Team Leadership & Management

• Supervise, mentor, and develop BI analysts and specialists.

• Assign tasks, monitor performance, and ensure timely delivery of reports and dashboards.

• Foster a culture of continuous learning and improvement within the BI team.

• Data Strategy & Analytics

• Oversee the development and maintenance of BI solutions (dashboards, reports, KPIs).

• Ensure data accuracy, consistency, and reliability across all BI outputs.

• Work with stakeholders to understand business requirements and translate them into BI solutions.

• Monitor industry trends and best practices in BI and analytics.

• Collaboration & Stakeholder Management

• Partner with business leaders, operations, finance, and other teams to identify reporting needs.

• Provide actionable insights and recommendations to support decision-making.

• Act as a point of escalation for BI-related issues or requests.

• System & Process Management

• Oversee BI tools and platforms, ensuring proper usage, optimization, and troubleshooting.

• Ensure compliance with data governance, security, and privacy standards.

• Drive automation and process improvements in reporting and data management.

Qualifications

• Bachelor’s degree in Business, Data Analytics, Information Technology, or a related field (Master’s degree is a plus).

• Proven experience in Business Intelligence, Data Analytics, or a related field.

• Prior experience in a supervisory or team lead role.

• Strong knowledge of BI tools (e.g., Power BI, Tableau, Qlik, Looker, etc.).

• Proficiency in SQL and data modeling concepts.

• Excellent analytical, problem-solving, and communication skills.

• Ability to manage multiple priorities and deliver results under tight deadlines.

Key Competencies

• Leadership and people management

• Analytical and critical thinking

• Strong business acumen

• Technical expertise in BI and data visualization

• Effective communication and stakeholder engagement

• Continuous improvement mindset

Note - Interested candidate can share CV on

Hiring for Analyst -Business Intelligence - Night shift

Skills required:

Very strong experience in SQL

Strong experience in Data visualization tools (Power bi/ Tableau)

Strong in communication

Looking from Media background.

Exp - 3- 9 years

Shift - US shift (6:30 pm- 3:30 am)

Interested candidate can drop your resume on

Role Title: Head- Business Intelligence & AI

Reporting To: Chief Information Officer

Location of Posting: Corporate office, Vadodara

Position Overview:

We are seeking seasoned Head- Business Intelligence & AI to lead our data strategy, design scalable data models, and drive analytical and AI innovation across the organization. This role combines leadership in data science, AI and business analytics with deep technical expertise in data architecture and modelling, AI/ML, ETL, Dashboards and AI including Gen AI, Agentic AI. The ideal candidate will be a strategic thinker, technical expert, and effective communicator capable of aligning data initiatives with business objectives.

As the Head of AI and Analytics in a chemical manufacturing organization, your role involves leveraging AI and analytics across all functions—R&D, production, supply chain, sales, marketing, finance, HR, and compliance—while incorporating dashboarding, ETL processes, and a data lake to enable data-driven decision-making.

Key Responsibilities:

1. Data Strategy Leadership - Define and drive the enterprise-wide business intelligence and analytics strategy , Align BI initiatives with overall business goals and digital transformation priorities
2. Formulate a comprehensive AI and analytics roadmap aligned with the organization’s goals, focusing on improving operational efficiency.
3. Oversee the design and maintenance of a centralized data lake to store diverse data, ensuring scalability, security, and accessibility for cross-functional BI and AI initiatives.
4. Identify cross-functional use cases, such as using AI to predict market demand, optimize pricing strategies, or enhance employee training programs.
5. Apply AI for predictive maintenance of equipment and process optimization while using BI to monitor production KPIs and identify bottlenecks through historical data analysis.
6. Stakeholder Engagement - Collaborate with executive leadership, functional heads, and IT to identify analytics needs, Translate business questions into actionable insights and dashboards
7. Leadership: Lead the Analytics and AI team, provide strategic insights to the C-suite, and foster a data-driven culture.
8. Develop and maintain interactive dashboards for all functions, providing real-time insights to stakeholders
9. Data-Driven Decision Support - Deliver KPIs, scorecards, and predictive models to enable strategic decision-making, Promote advanced analytics, AI/ML initiatives, and scenario planning

AI & GenAI Enablement:

Spearhead AI and Generative AI initiatives, including hands-on leadership in deploying LLMs, implementing RAG (Retrieval-Augmented Generation) models, and identifying data science-driven opportunities across the organization.

Data Governance & Quality:

Ensure best practices in data governance, security, and quality management to uphold data integrity and compliance.

Education Qualification:

• Bachelor’s or master’s in computer science, Data Science, Statistics, or related field. PhD is a plus.

Experience:

• 10+ years of experience in analytics, data architecture, or related roles.
• Strong knowledge of data modelling techniques
• Understanding of Data Science (SQL, Python, R, and at least one cloud platform.
• Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT)

Technical Competencies/Skills:

• Analytics tools (Data Lake, Tableau), and integration with other systems
• Deep understanding of manufacturing processes and best practices.
• Proven track record of implementing enterprise analytics solutions and predictive modeling at scale.
• Strong hands-on experience with tools like Power BI, Tableau, Python/R, SQL, and cloud platforms (AWS/GCP/Azure) or any other relevant cloud platform.
• Experience setting up and managing data lakes and developing end-to-end data pipelines.
• Sound understanding of AI/ML techniques , LLMs , GenAI tools , and emerging technologies in data science.
• Experience with modern data warehousing tools (Snowflake, BigQuery, Redshift) and orchestration (Airflow, DBT).

Behavioural Competencies:

• Strong leadership and team management skills.
• Excellent communication and interpersonal skills.
• High level of initiative and proactive approach to problem-solving.
• Ability to work under pressure and manage multiple priorities.
• Excellent verbal and written communication skills, with the ability to present complex information to both technical and non-technical stakeholders.
• Strong analytical and problem-solving skills, with the ability to make data-driven decisions.