92 Bi Consultant jobs in New Delhi

This role is ideal for an analytical thinker with a wide range of skills in database administration, reporting and dashboarding disciplines.

We seek an experienced data engineer with extensive experience in TSQL (stored procedures, functions, triggers, ad hoc queries), SSRS (design/development, subscriptions, query performance tuning and BAU support), ETL, Azure data storage, Azure data factory and pipelines, Azure Synapse and data warehousing. Some exposure to Power BI and Azure analytics is beneficial.

• Assist in collecting, cleaning, and pre-processing data from various sources.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Develop reports and visualizations to communicate findings effectively.
• Support senior data analysts in various data-related tasks and projects.
• Learn and apply statistical methods and machine learning techniques.
• Collaborate with team members on data-driven projects.
• Document data processes and analytical methodologies.
• Assist in testing and validating data models and algorithms.
• Contribute to the continuous improvement of data analysis workflows.
• Gain practical experience in a professional data analytics environment.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in at least one programming language for data analysis (e.g., Python, R).
• Familiarity with database querying languages (e.g., SQL).
• Good understanding of statistical concepts and data visualization principles.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a remote team.
• Eagerness to learn and adapt to new technologies and methodologies.

• Collect, analyze, and interpret agricultural data related to crop growth, soil conditions, and environmental factors.
• Develop and implement data-driven strategies for optimizing crop yields and farm productivity.
• Evaluate the effectiveness of different fertilizers, pesticides, and irrigation methods.
• Identify and diagnose plant diseases, pest infestations, and nutrient deficiencies.
• Prepare detailed reports and presentations on findings and recommendations.
• Collaborate with research teams on experimental design and data collection.
• Stay current with advancements in agronomy, agricultural technology, and data analysis.
• Conduct on-site assessments and provide practical guidance to farmers when required.

• Bachelor's or Master's degree in Agronomy, Agricultural Science, or a related field.
• Minimum of 3 years of experience in agronomy or agricultural research.
• Proficiency in data analysis software (e.g., R, Python, SPSS) and statistical methods.
• Knowledge of soil science, plant physiology, and crop management practices.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Ability to work independently and manage time effectively in a hybrid environment.

• Assist in collecting data from various sources, ensuring accuracy and completeness.
• Perform data cleaning and pre-processing tasks to prepare datasets for analysis.
• Conduct basic data analysis using statistical methods and tools to identify trends and patterns.
• Create visualizations and reports to communicate findings to the team.
• Support senior analysts in developing dashboards and performance metrics.
• Learn and apply various data analysis software and techniques.
• Participate in team meetings and contribute to project discussions.
• Assist in documenting data sources, methodologies, and analysis results.
• Collaborate with different departments to understand their data needs and provide analytical support.
• Gain exposure to data modeling concepts and basic machine learning principles.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Proficiency in basic statistical concepts.
• Familiarity with at least one programming language such as Python or R is a plus.
• Experience with spreadsheet software (e.g., Microsoft Excel) is required.
• Eagerness to learn and develop new skills in data analysis.
• Good communication and teamwork abilities.
• Ability to work effectively in a team and independently when required.
• Attention to detail and a commitment to accuracy.
• A foundational understanding of databases and SQL is advantageous.

• Assist in data collection, cleaning, and pre-processing from various sources.
• Perform exploratory data analysis and create data visualizations to identify trends and patterns.
• Support the development of dashboards and reports using data visualization tools.
• Help in statistical analysis and interpretation of data sets.
• Collaborate with senior analysts to understand project requirements and deliverables.
• Learn and apply programming languages such as Python or R for data manipulation and analysis.
• Contribute to data quality checks and ensure data integrity.
• Assist in the documentation of data analysis processes and methodologies.
• Participate in team meetings and contribute ideas for improving data processes.
• Undergo continuous learning and training in data analysis techniques and tools.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
• Strong analytical and problem-solving skills.
• Familiarity with basic statistical concepts.
• Exposure to data analysis tools or programming languages (e.g., Excel, SQL, Python, R) is a plus.
• Excellent attention to detail and commitment to data accuracy.
• Good communication and interpersonal skills.
• Ability to work independently and manage tasks effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Demonstrated interest in data analysis or a related field.

• Developing and executing advanced remote sensing workflows for geological interpretation and mineral identification.
• Acquiring, processing, and analyzing large-scale geospatial datasets from various satellite platforms (e.g., Landsat, Sentinel, ASTER).
• Integrating remote sensing data with other geological datasets (e.g., geophysical, geochemical, drilling) to build comprehensive 3D geological models.
• Utilizing machine learning and AI techniques for automated feature extraction and pattern recognition in geological imagery.
• Providing expert interpretation of geological features, structures, and alteration patterns identified through remote sensing.
• Leading geological interpretation sessions and contributing to target generation for mineral exploration.
• Mentoring and guiding junior geologists and data analysts in the application of remote sensing techniques.
• Authoring detailed technical reports, presentations, and publications documenting findings and recommendations.
• Collaborating closely with exploration geologists, geophysicists, and other stakeholders to ensure data integration and alignment with project objectives.
• Keeping abreast of the latest advancements in remote sensing technology, software, and geological applications.
• Managing data pipelines, ensuring data quality, and maintaining robust metadata standards.
• Contributing to the development of company-wide best practices for remote sensing data acquisition and analysis.

• Master's degree or Ph.D. in Geology, Geophysics, Earth Sciences, or a related field with a specialization in Remote Sensing or Geospatial Analysis.
• Minimum of 8-10 years of experience in geological exploration, with at least 5 years focused on the application of remote sensing techniques.
• Extensive experience with remote sensing software packages (e.g., ENVI, ERDAS Imagine, ArcGIS, QGIS) and programming languages (e.g., Python, R).
• Proficiency in processing and analyzing multispectral, hyperspectral, and radar satellite imagery.
• Strong understanding of geological principles, mineralogy, structural geology, and deposit models.
• Demonstrated experience with GIS software and database management.
• Experience with cloud-based geospatial platforms and big data processing is highly desirable.
• Proven ability to lead projects, manage data, and deliver insightful geological interpretations.
• Excellent written and verbal communication skills, with the ability to effectively communicate complex technical information to diverse audiences.
• Self-motivated, highly organized, and capable of working independently with minimal supervision in a remote setting.
• Demonstrated commitment to continuous learning and professional development.

• Analyze multi-spectral, hyper-spectral, and radar satellite imagery for geological mapping and anomaly detection.
• Integrate and interpret various geophysical datasets (e.g., magnetic, gravity, seismic) with remote sensing data to identify prospective areas.
• Develop and refine geological models using advanced software for resource estimation and exploration targeting.
• Conduct literature reviews and compile geological information from diverse sources to support exploration strategies.
• Prepare detailed technical reports, presentations, and recommendations for senior management and exploration teams.
• Collaborate remotely with geophysicists, geochemists, and other geoscientists to develop comprehensive exploration programs.
• Identify and evaluate new technologies and methodologies in geological remote sensing and data analysis.
• Provide expert geological input for project planning, risk assessment, and due diligence activities.
• Ensure the quality and accuracy of geological data and interpretations.
• Contribute to the development of best practices in geological data management and interpretation.

• Master's degree or Ph.D. in Geology, Earth Sciences, or a related field with a specialization in geological remote sensing or exploration geophysics.
• Minimum of 8 years of progressive experience in mineral exploration geology.
• Demonstrated expertise in interpreting satellite imagery (e.g., Landsat, Sentinel, ASTER) and related software (e.g., ENVI, ERDAS Imagine).
• Proficiency with GIS software (e.g., ArcGIS, QGIS) and geological modeling software (e.g., Leapfrog, Vulcan).
• Strong understanding of mineral deposit types, geological structures, and regional geological settings.
• Experience with geophysical data interpretation is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex findings clearly and concisely.
• Proven ability to work independently and manage multiple projects effectively in a remote environment.
• A strong publication record or professional contributions to the field are advantageous.

Job Responsibilities

• Should have excellent knowledge of product costing, Material costing, preferably from garment industry.
• Directing financial analysis, internal & regulatory reporting, accounting operations, budgeting & forecasting that led to long-term improvements in cost savings, profitability and productivity.
• Preparation of detailed budgeting exercise, monitoring of monthly actuals and budgetary controls
• Should have worked in ERP environment and have sound knowledge of system controls etc.
• Ensuring adherence to compliance with requirements under regulatory framework
• As member of management team, participate and contribute in all decision making with specific emphasis on purchases, capital expenditure, contracts of any nature etc.
• Monitoring Revenue, CAPEX Budget for various Functions; designing cost model to measure and monitor monthly project and overhead costs; reviewing processes and transactions, establishing internal control mechanisms for various financial and non-financial transactions.

Desired Profile

• Excellent communication skills
• Ability to fit into an entrepreneurial and highly demanding work environment
• Demonstrable track record of strong achievement and communication skills
• Demonstrated leadership qualities and strong performance management skills
• Dedicated and motivated individual with high levels of professionalism.
• Should have excellent leadership, interpersonal and relationship management skills.
• Must have worked with larger manufacturing companies preferably garment Industry.

Experience / Qualifications

• Cost accountant with 6 -10 years experience/ CA with 5-7 years experience

Here is the job Description of a Tableau Expert. Please shortlist the candidates based on following criteria and try high end contractors/consultants.

A Tableau expert can design, implement, and manage enterprise-scale Tableau Server/Cloud environments and solutions.

He has good knowledge on data architecture, security, performance, and governance to meet business intelligence and data visualization needs. Key responsibilities include leading Tableau platform architecture, configuring environments, optimizing performance, developing data solutions with SQL and APIs.

Key Responsibilities

1. Platform Architecture & Design: Lead the architecture, design, and maintenance of Tableau Server/Cloud environments, ensuring scalability, high availability.

2. Data Strategy & Governance: Establish and enforce governance standards for workbooks, dashboards, and data sources, while optimizing data storage, retrieval, and performance.

3.Performance Optimization: Conduct system monitoring, capacity planning, and query optimization to maintain high performance for dashboards, extracts, and live connections.

4. Data Integration & Preparation: Manage data connectivity, oversee data preparation processes, and develop complex SQL queries for data analysis and reporting.

5. Security & Access Management: Administer user access, roles, and authentication (like SSO/AD) to ensure secure access to data and applications.

6. Dashboard & Solution Development: Design and develop comprehensive, interactive data solutions and visualizations, ensuring usability, performance, and alignment with business KPIs.