647 Data Analysis jobs in New Delhi

**Responsibilities**:
Analyze large data sets using Excel, MS Office, SQL, and data visualization tools like Tableau, PowerBI, or Maven

Create compelling data visualizations and reports to communicate insights and findings

Collaborate with team members to understand business requirements and develop data analytics solutions to meet those needs

Stay up-to-date with the latest developments in data analytics and visualization tools

Participate in data quality assurance and testing to ensure accuracy and completeness of data

Support the development of data analytics processes and procedures to enhance data quality and efficiency

6 Days Working

shift hours - 9 hours a day

Salary - 10,000

**Salary**: ₹10,000.00 per month

Schedule:

- Day shift

Supplemental pay types:

- Commission pay
- Performance bonus

Ability to commute/relocate:

- Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (required)

**Experience**:

- total work: 1 year (preferred)

**Director
- Data Analysis and Operations Research (OR)**

**Objectives and Responsibilities-**

Director - Data Analysis & Operations Research (OR) is responsible for the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making.

The person is expected to design and maintain data systems, databases using statistical tools to interpret data, prepare reports that can communicate trends, patterns and predictions based on data, as well conduct flight Ops data research and analytics as required. Focus on designing and constructing new processes for data modelling and productions. To work with pilot/customer centric algorithm models and be able to shape them to each vertical/business. Extract actionable insights from large databases, help translate data into visualizations, metrics and goals and have a proactive approach.

To lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.

Will also be responsible for overseeing activities of the data science team ensuring proper execution of duties and alignment with the business’s overall vision.

**Leadership/Supervisory Role**:The role of the Director Data Science and Analytsis is heading the data science department and leading the data analytics and warehousing vertical, overseeing all activities and ensuring alignment with the business’s vision and objectives. In this capacity, the person will
- organize and assemble the man-power, technology, processes, and financial resources necessary to address the current and future analytics needs of the business.
- lead the data analytics in research, development, and implementation of appropriate data systems that lead to improved business performance and achievement of overall business goals.
- drive departmental culture and promoting data-driven decision-making, consumer-driven analytics, marketing, and investment planning across the business.
- participate in various committees’ meetings as necessary to influence data capabilities and competencies within the business.
- initiate data science programs across the department not only with a view of improving departmental performance but also with a focus on revenue growth and achievement of the business’ overall targets and objectives.
- personally work on challenging fundamental data science issues where necessary, realize, and develop solutions independently.
- be accountable for the project portfolio within the data science and analytics vertical.
- build an independent in-house Ops Research capability to deep drill into understanding the Business Dynamics, building data models and help act on derived actionables
- communicate the findings to key stakeholders through reports and presentations with whom the necessary changes need to be made.

**Collaboration**:

- partner with senior business executives and key stakeholders in creating the data science roadmap tailored to constantly aid data governance across the business and improve the overall business performance.
- partner with other non-technical departments within the business assisting them in understanding how data science can benefit them and improve their effectiveness and performance.
- work closely with the Digital & IT department within the business for the purpose of facilitating easy and effective access to computing and data resources within the business.

**Knowledge**:

- take initiative and stay up to date with the latest data science trends, techniques, and best practices, determining how to incorporate the most suitable practices in the department.

**Other Duties**:

- perform similar duties as seen a suitable fit for the execution of the duties and duties as delegated by the Chief Pilot Corporate, Policies and Projects/ SVP Flight Ops.

**Required Qualifications of the Director Data Science and Analytics**

**Education**:

- Bachelor/Master’s degree or equivalent in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field. An equivalent of the same in working experience is also acceptable for the position.

**Experience**:

- To have a successful experience leading a data analysis/science team through the implementation of new data science models, tools, and techniques that lead to improvement of business performance due to a continued culture of informed decision-making
- possess vast experience with programming languages, for example, Python.

**Communication Skills**:

- Effective Communication skills are a must have as the clarity of instruction and information is required to passed down the line to the data science personnel in the team and also in order to be able to tailor and convey technical messages to the non-technical departments in a clear and understandable manner, leading to business-wide improvement of

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.

• Minimum 8+ years experience leading large scale Enterprise Data Warehouse Projects
• Must have lot of experience in writing proposals, coming up with solutions to address customers business needs, contribute/provide direction to the teams to create high-level / low-level BI architectures
• Utilize Business Intelligence expertise, business Knowledge and technical skills to successfully deliver Business Intelligence Solutions for contact center Market based on Pentaho BI Platform.
• Should have good exposure to BI tools and should preferably have hands-on on Informatica / Data Stage / OWB, BO / Cognos / Microstrategy / OBIEE
• Analyzing, designing, testing and coding of BI front end applications and back end engines according to the user requirements.
• Experience of developing reports using market leading BI Products especially Pentaho BI Suite.
• Expert in Pentaho BI Suite including Pentaho Report Designer,Pentaho Data Integration, Pentaho User Console, Pentaho Metadata Editor, Pentaho Schema Workbench.
• Experience of Designing and Developing highly interactive Reports and Dashboards.
• Candidate should possess strong BI foundation and understanding of dimensional Modelling.
• Design and meet business criteria and metrics for successful BI implementations
• Should have managed both development and maintenance projects in BI
• Candidate should be willing to travel to US on short term assignments and should be able to handle architecture level discussions with Client teams

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