236 Senior Data Analyst jobs in Noida

Job Description: Data Analyst

Currie & Brown is a world-leading provider of cost management, project management and advisory services, covering the full range of public and private sectors. Our purpose is to add value that makes building a better future possible With principal offices in Dubai, Hong Kong, London, Mumbai, New York and Shanghai, we operate throughout the Americas, Asia Pacific, Europe, India and the Middle East.

Currie & Brown is looking for data analysts for our office based in Noida, India, the successful candidate will support in generating a high standard of service delivery, achieving successful outcomes for our clients, capturing data and sharing knowledge across projects, enhancing our culture of innovation and reinforcing our reputation as a preferred service provider.

The successful candidate will be required to collaborate with our global regions on the rollout of our internal systems.

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Responsibilities for the successful candidate will include:

• Assisting with data capture, organization, storage and analysis for creating and maintaining cost indices and escalation
• Upkeeping construction project cost database, including data capture, cleaning, organization, storage and analysis
• Managing large amounts of data in Excel
• Collaborating with cost estimators/quantity surveyors to fill in holes in data
• Contributing to the process for collection, capture and utilization of historic data
• Performing other duties as supervisor or senior leadership deem necessary
• Coordinating with senior and technical staff

Requirements:

• Bachelor’s Degree + 2 years relevant experience
• Firm decision-making abilities, excellent communication and presentation skills
• Must have experience in data analysis and data management.
• Must understand IT technology including Intranet, MS Windows, MS Office Suites.
• Experience with Microsoft suite particularly managing data in Excel and SharePoint preferred
• SQL, Python, R, PowerBI, and Tableau skills beneficial
• Attention to details.
• Experience managing and analysing large data sets will be beneficial
• Interest or experience in construction industry or how things go together
• Motivated to work independently and ability to work as part of a team
• Dedication to current/continued pursuit of registrations
• Excellent English communication skills.

Currie & Brown is one of the world’s leading physical assets management and construction consultancies, dedicated to advising clients in respect of the management and utilisation of their physical assets, and is differentiated by innovation, expertise and experience.

With principal offices in Dubai, Hong Kong, London, Mumbai, New York and Shanghai, we operate throughout the Americas, Asia Pacific, Europe, India and the Middle East.

Currie & Brown is an equal opportunity employer. As a Disability Confident Committed Employer we ensure our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for the job. Currie & Brown UK is also proud to have signed the Armed Forces Covenant, which represents a promise by the company that those who serve or have served, and their families, are treated fairly.

How to Apply:

Interested candidates are invited to submit their CVs to Muskan Tripathi at ( )

Data Analyst Internship

Hybrid – Delhi NCR | 3 Months | Unpaid

Are you a data-driven college student passionate about sustainability, Net Zero, and ESG reporting? Join Carbon Crunch, a fast-growing climate-tech startup, and help us decode ESG data to drive real-world impact.

Position Details

•⁠ ⁠ole: ESG Data Analyst Intern

•⁠ cation: Hybrid (3-4 days/week at our Delhi NCR office)

•⁠ ration: 3 months | Unpaid

What You’ll Work On

•⁠ ⁠A yzing sustainability & ESG data to generate actionable insights

•⁠ ilding dashboards for BRSR, GHG emissions, and ESG KPIs (Power BI & Tableau)

•⁠ tomating reports with Excel (Pivot Tables, Macros, VBA)

•⁠ aluating corporate ESG performance & contributing to Net Zero strategy reviews

•⁠ pporting data validation & disclosure across ESG frameworks

What We’re Looking For

•⁠ ⁠F liarity with ESG frameworks (BRSR, GRI, CDP, Net Zero)

•⁠ rong Excel skills (Pivot Tables, formulas, Data Validation; VBA is a plus)

•⁠ nds-on experience with Power BI or Tableau

•⁠ alytical mindset + genuine passion for sustainability

•⁠ lf-motivated, curious, and eager to learn in a startup environment

What You’ll Gain

•⁠ ⁠R -world ESG analytics experience in a climate-tech company

•⁠ rk closely with the founding team on live projects

•⁠ rtificate + Letter of Recommendation

•⁠ ep exposure to BRSR, carbon markets & climate data tools

•⁠ ture paid opportunities based on performance

How to Apply (Both Steps Required):

•⁠ ply through LinkedIn – Click the “Easy Apply” button

•⁠ ⁠Fill s form to complete your application:

Note: Only applications with both steps completed will be considered.

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion

Qualifications

• Proficient in Tableau

KPI Data Analyst

Department: Technical Documentation : TSSC

Location: Anangpur, Faridabad

Budget: 10 - 12 LPA

Job Title: KPI Data Analyst

Experience: 3-5 years

Job Responsibilities:

• Collect, verify, and report Quality & Cost KPI data.
• MSTR Reporting and Reports (focus MSTR) are optimized and conform with corporate requirements and BU/BA individual requirements where possible.
• Quality KPIs and cost data is aquired, verified (format, plausibility, units, etc), transformed into target formats and uploaded to the central SQL database in regular intervals.
• Develop and maintain automation tools (C#, Python, SQL).
• Run reports in different systems (e.g. SAP, BW, Teamcenter, etc) in regular intervals to gather the raw data for the tasks mentioned above

Required Skills:

• Strong knowledge of C#, Python, SQL & SAP.
• Good skills in MS Excel & MS Office.
• Basic understanding of MicroStrategy (MSTR) is an advantage.
• Excellent English communication (spoken & written).
• Analytical mindset, problem-solving ability, and willingness to learn.

Role: Data Analyst

Location: Gurgaon / Noida / Bangalore / Pune / Hyderabad

Experience: 4–6 years

Notice Period: Immediate Joiners

About the Role:

We’re looking for a Data Analyst to join our team and drive the development of analytics-driven fraud detection solutions . In this role, you’ll design, build, and optimize analytical workflows using SQL, Python, PySpark, and Hadoop , while working closely with fraud analytics and operations teams to strengthen frameworks for card transactions and account opening domains .

Responsibilities

• Develop, maintain, and optimize complex SQL queries for large-scale datasets.
• Use Python (Pandas, NumPy, etc.) for advanced data processing, automation, and analytical solutions.
• Build and maintain Tableau dashboards to deliver actionable insights.
• Perform data wrangling, cleansing, and transformation from multiple data sources.
• Conduct deep-dive analysis to identify patterns, anomalies, and potential fraudulent activities in card transactions and account opening domains.
• Collaborate with fraud analytics & operations teams to strengthen fraud detection frameworks.
• Document processes, ensuring data integrity and compliance .
• Drive continuous improvements in data pipelines, tools, and reporting mechanisms.

Qualifications

• 4–6 years’ experience in data analytics roles (not data engineering).
• Proven expertise in SQL, Python, PySpark , and Hadoop/Oracle .
• Strong background in data analysis, fraud analytics, or financial analytics .
• Experience in Tableau dashboards & storytelling with data.
• Strong analytical, problem-solving, and communication skills.

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

• Understand the day-to-day issues that our business faces, which can be better understood with data
• Compile and analyze data related to business' issues
• Develop clear visualizations to convey complicated data in a straightforward fashion

Qualifications

• Proficient in Tableau

KPI Data Analyst

Department: Technical Documentation : TSSC

Location: Anangpur, Faridabad

Budget: 10 - 12 LPA

Job Title: KPI Data Analyst

Experience: 3-5 years

Job Responsibilities:

• Collect, verify, and report Quality & Cost KPI data.
• MSTR Reporting and Reports (focus MSTR) are optimized and conform with corporate requirements and BU/BA individual requirements where possible.
• Quality KPIs and cost data is aquired, verified (format, plausibility, units, etc), transformed into target formats and uploaded to the central SQL database in regular intervals.
• Develop and maintain automation tools (C#, Python, SQL).
• Run reports in different systems (e.g. SAP, BW, Teamcenter, etc) in regular intervals to gather the raw data for the tasks mentioned above

Required Skills:

• Strong knowledge of C#, Python, SQL & SAP.
• Good skills in MS Excel & MS Office.
• Basic understanding of MicroStrategy (MSTR) is an advantage.
• Excellent English communication (spoken & written).
• Analytical mindset, problem-solving ability, and willingness to learn.

Company Description Vasu Travel & Tourism LLC is your go-to partner for comprehensive travel solutions, specializing in both B2 B and B2 C services. We offer competitive travel tickets, streamlined visa assistance, and reliable transfers. Our expert team ensures seamless travel experiences for both corporate needs and personal adventures with round-the-clock support and customized solutions. Trust us for all your travel needs and enjoy a hassle-free journey. Visit us at to start planning your next trip. Role Description This is a full-time remote role for a Data Analyst. The Data Analyst will be responsible for analyzing data sets to identify trends and patterns, creating data models, and producing statistical reports. You will also communicate insights and findings to stakeholders, ensuring data integrity and assisting with data-driven decision-making processes. Qualifications Strong Analytical Skills and Data Analytics experienceProficiency in Statistics and Data ModelingExcellent Communication skills for conveying data insightsAttention to detail and strong problem-solving abilitiesAbility to work independently and remotelyExperience in travel and tourism industry is a plusBachelor's degree in Data Science, Statistics, Mathematics, or related field

Company DescriptionSambodhi Research & Communications is a consultancy that focuses on creating high-impact knowledge to drive accountability in the public domain. We offer project management, monitoring & evaluation, and research solutions to various stakeholders including governments, aid agencies, and philanthropic foundations. Our work spans across sectors such as public health, nutrition, sanitation, renewable energy, and livelihoods. We also contribute to building a community of evaluators in South Asia through initiatives like the Community of Evaluators-South Asia and the South Asian Journal for Evaluation in Practice.Primary ResponsibilitiesConducting comprehensive market research to gather relevant data.Analyzing quantitative and qualitative data to identify trends and insights.Preparing detailed reports that summarize findings and provide actionable recommendations.Collaborating with team members to design research methodologies tailored to specific projects.Presenting research findings to stakeholders in a clear and concise manner.Skills and QualificationsStrong analytical skills with proficiency in statistical software and tools.Excellent written and verbal communication skills for report writing and presentations.Ability to work independently as well as in a team-oriented environment.Familiarity with research methodologies and data collection techniques.A degree in a relevant field such as social sciences, statistics, or business is often preferred.