Data Analysis Trainer

Delhi, Delhi Aspirevision tech education pvt. Ltd

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Job Description

**Key Responsibilities**:

- Perform data analysis on large and complex datasets to identify trends, patterns, and opportunities for process optimization and business growth.
- Develop and maintain data models, dashboards, and reports using tools such as SQL, Excel, Tableau, Power BI, or other relevant data visualization tools.
- Work closely with business stakeholders to understand their requirements and translate them into data-driven solutions.
- Design and execute A/B tests and experiments to evaluate the effectiveness of business strategies and provide data-backed recommendations.
- Collaborate with data engineering teams to ensure data quality, integrity, and consistency across different data sources.
- Provide insights and analytical support for strategic decision-making, resource allocation, and performance evaluation.
- Monitor key performance indicators (KPIs) and generate periodic reports to track business performance and identify areas for improvement.
- Conduct ad-hoc data analysis and create data-driven presentations for various business functions and executive leadership.
- Mentor and guide junior data analysts in best practices for data analysis, visualization, and interpretation.

**Qualifications and Experience**:

- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- Minimum of 7 years of professional experience as a Data Analyst, Business Analyst, or a similar role, preferably in a data-intensive industry or technology-driven environment.
- Proven expertise in data manipulation and querying using SQL, along with proficiency in data visualization tools such as Tableau, Power BI, or similar.
- Strong analytical and problem-solving skills, with the ability to extract insights from complex and unstructured datasets.
- Familiarity with statistical methods and data analysis techniques (e.g., regression analysis, hypothesis testing) is highly desirable.
- Experience in working with big data technologies (e.g., Hadoop, Spark) and programming languages (Python, R) will be an advantage.
- Excellent communication skills, with the ability to present technical information to non-technical audiences effectively.
- Strong business acumen and the ability to link data analysis to real-world business implications.

**Job Types**: Full-time, Part-time
Part-time hours: 8 per week

**Salary**: ₹5,000.00 - ₹8,000.00 per day

Schedule:

- Day shift

Ability to commute/relocate:

- Delhi, Delhi: Reliably commute or planning to relocate before starting work (preferred)

**Speak with the employer**
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Graduate Trainee - Data Analysis

201301 Noida, Uttar Pradesh ₹25000 Monthly WhatJobs

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intern
Our client is excited to offer a fully remote Graduate Trainee position focused on Data Analysis. This is an exceptional opportunity for recent graduates with a strong quantitative background and a passion for uncovering insights from data to kickstart their career. You will work closely with experienced data analysts and scientists, contributing to real-world projects and gaining invaluable hands-on experience. The role involves data cleaning, processing, visualization, and assisting in the generation of reports and analyses that support business decision-making. You will have the chance to learn and apply various data analysis tools and techniques in a dynamic, fully remote work environment. This program is designed to provide comprehensive training and mentorship, fostering professional growth and development.

Responsibilities:
  • 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.

Qualifications:
  • 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.
This is a fully remote, internship opportunity designed to provide a robust learning experience. Our client is dedicated to nurturing emerging talent and providing a supportive environment for growth, regardless of physical location. If you are a motivated graduate ready to dive into the world of data analysis, we encourage you to apply.
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Senior Geotechnical Engineer - Remote Sensing & Data Analysis

201001 Noida, Uttar Pradesh ₹1500000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client is a globally recognized leader in geological consulting and is seeking a highly skilled Senior Geotechnical Engineer with specialized expertise in remote sensing and advanced data analysis. This position is fully remote, offering the flexibility to work from anywhere. The ideal candidate will possess a deep understanding of soil mechanics, rock mechanics, and foundation engineering, combined with a strong proficiency in leveraging satellite imagery, aerial photography, and other remote sensing technologies to assess ground conditions, monitor stability, and identify geological hazards. You will be responsible for integrating and analyzing large geospatial datasets, developing sophisticated geotechnical models, and providing critical insights for large-scale infrastructure projects, mining operations, and environmental assessments. This role demands exceptional analytical skills, proficiency in GIS and geotechnical software, and the ability to interpret complex data to inform critical engineering decisions. You will collaborate virtually with a global team of engineers and geologists, contributing to cutting-edge projects.

Responsibilities:
  • Lead the application of remote sensing techniques (e.g., InSAR, LiDAR, photogrammetry) for geotechnical investigations.
  • Analyze satellite and aerial imagery to assess land surface deformation, slope stability, and geological features.
  • Develop and validate advanced geotechnical models using integrated geospatial data.
  • Conduct site characterization and risk assessments for infrastructure and mining projects.
  • Interpret complex datasets from various sources, including ground-based sensors and geophysical surveys.
  • Prepare detailed technical reports, presenting findings and recommendations to clients and project teams.
  • Collaborate effectively with remote engineering and geological teams across different time zones.
  • Stay abreast of the latest advancements in remote sensing technology and geotechnical engineering practices.
  • Mentor junior engineers and contribute to the development of best practices within the team.
Qualifications:
  • Master's or Ph.D. in Geotechnical Engineering, Civil Engineering, Geology, or a related field with a specialization in remote sensing or geospatial analysis.
  • Minimum of 6 years of relevant experience in geotechnical engineering, with a significant focus on applying remote sensing technologies.
  • Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine).
  • Strong understanding of geotechnical principles and their application to real-world engineering problems.
  • Experience with geotechnical analysis software (e.g., PLAXIS, GeoStudio) is highly desirable.
  • Excellent data analysis, interpretation, and visualization skills.
  • Proficiency in programming languages such as Python (with libraries like GDAL, Rasterio) for data processing is a strong asset.
  • Exceptional written and verbal communication skills for remote collaboration.
  • Proven ability to manage projects and deliver high-quality technical documentation.
This is a unique opportunity to apply advanced technologies to solve challenging geotechnical problems in a remote work environment.
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