Explore numerous data analytics job opportunities in 117 Data Analytics jobs in Noida
Data Analytics
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Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
Requirements
Key Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
Benefits
We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
Data, Analytics, engineer
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• Effectively manage team and budget, for the right blend of internal and external resources.
• Build a community of data and analytics-savvy colleagues through a combination of training, knowledge sharing, and inspiration / best practice sharing
• Be a great team player, demonstrating empathy and positive psychology, and with strong cross-functional working relationships across commercial and technology teams, locally and globally.
• Lead by example and provide ongoing mentorship and guidance to the team
• Promote a growth mindset and culture of continuous learning and improvement, empathy, humility, and positive psychology
• Ensure accuracy and relevance of all work through peer reviews, pair-programming, and close partnership with colleagues across the business
Data Analytics Intern
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Collect data from online sources, surveys, or databases for research purposes.
Analyze datasets using Excel, SQL, or statistical tools under supervision.
Conduct market and competitor research to support strategic decisions.
Prepare research reports, charts, and presentations for internal use.
Perform literature reviews to gather background information on key topics.
Clean and verify raw data to ensure accuracy and consistency.
Assist senior analysts in ongoing research and analysis tasks.
Monitor industry news and trends relevant to the business or project.
Maintain organized records of research findings and documents.
Present key findings and insights in team meetings or discussions.
Benefits
Certificate of Internship.
Letter of recommendation (based on Performance).
Opportunity to work in a fast-growing IT and design company.
Exposure to a dynamic and collaborative work environment.
Training and support for personal and professional development.
Forensic Data Analytics
Posted today
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• Ability to successfully multitask while working independently or within a group environment
• Ability to encourage a team environment on engagements
• Ability to work in a deadline-driven environment and handle multiple projects simultaneously
• Ability to interact effectively with people at all organizational levels of the Firm
• Capacity to build and maintain strong relationships with internal and client personnel
• Ability to act as the primary contact on assigned engagements
Data Analytics Manager
Posted today
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• Build and maintain relationships with business leaders, including the IT organization, executive leadership, and operations.
• Supervise the delivery of daily, weekly, and monthly reporting requirements for the internal stakeholders. These reports include both templated reporting and newly created reporting requests.
• Provide training to internal Permanents on how to utilize tools and reports.
• Manage the creation of dashboards and reports using Microsoft Power BI and other reporting tools.
• Locate and define new process improvement opportunities.
• Execute extemporary data analysis, participate in senior-level discussions, and provide findings and best practices to senior leadership.
• Develop and implement databases, data collection systems, and other strategies to optimize quality and efficiency in the organization.
Senior Data Analytics
Posted today
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Working in a challenging, fast-paced environment to create a meaningful impact on your work
Identify business problems & use data analysis to find answers
Code and maintain data platform & reporting analytics
Design, build and maintain data pipelines.
Qualifications
Desire to collaborate with a smart, supportive engineering team
Strong passion for data and willingness to learn new skills
Experience with NoSQL Databases (i.e. DynamoDB, Couchbase, MongoDB)
Experience with Data ETL tools (DBT and AWS Glue)
Expert knowledge in SQL and deep experience managing relational databases such as PostgreSQL
Experience coding in Python, Scala, or R
Strong understanding of how to build a data pipeline
Data Analytics Intern
Posted today
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Job Description
Collect data from online sources, surveys, or databases for research purposes.
Analyze datasets using Excel, SQL, or statistical tools under supervision.
Conduct market and competitor research to support strategic decisions.
Prepare research reports, charts, and presentations for internal use.
Perform literature reviews to gather background information on key topics.
Clean and verify raw data to ensure accuracy and consistency.
Assist senior analysts in ongoing research and analysis tasks.
Monitor industry news and trends relevant to the business or project.
Maintain organized records of research findings and documents.
Present key findings and insights in team meetings or discussions.
Benefits
Certificate of Internship.
Letter of recommendation (based on Performance).
Opportunity to work in a fast-growing IT and design company.
Exposure to a dynamic and collaborative work environment.
Training and support for personal and professional development.
Requirements
Collect data from online sources, surveys, or databases for research purposes. Analyze datasets using Excel, SQL, or statistical tools under supervision.
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Senior Data Analytics Specialist
Posted today
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Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Are you passionate about driving strategic business outcomes through intelligent data solutions? Do you thrive in a dynamic, collaborative environment where you can architect and scale analytics solutions using Microsoft's cutting-edge technologies? Regulated Industries Security Team within the CISO organization is seeking a Senior Data Specialist to lead the development of scalable analytics and automation solutions that enhance security operations and compliance across regulated sectors. This role is ideal for a strategic thinker with deep expertise in Microsoft Fabric, Power Platform, Azure, and low-code technologies, who thrives in cross-functional environments and is passionate about driving measurable impact. Join us and be part of a mission-driven team securing critical infrastructure and regulated environments.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
**Responsibilities**
+ Architect and manage end-to-end data ecosystems using Microsoft Fabric, Azure Data Factory, and Power BI to support security and compliance workflows.
+ Lead automation initiatives using Power Automate, Power Apps, and Copilot Studio and low-code/no-code tools to reduce manual effort and improve operational efficiency.
+ Collaborate with engineering, compliance, and program management teams to align technical solutions with business objectives and drive transparency, and continuous delivery.
+ Develop and maintain ELT pipelines, dashboards, and reporting frameworks for various teams within the RI scope.
+ Administer Azure environments, coordinate sprint planning, and manage production support queues through tools like S360 and ADO to ensure high system availability and stakeholder satisfaction.
+ Develop world-class dashboards and analytical models that provide visibility to top leadership, empowering faster, more informed decisions.
+ Mentor junior engineers and foster a culture of innovation and continuous improvement.
**Qualifications**
- 6+ years of experience in data engineering, analytics, or automation roles.
- Proven expertise in Microsoft Fabric (Lakehouse, Data Activator, PySpark notebooks).
- Strong proficiency in Power BI, DAX, Power Query (M), and data visualization.
- Hands-on experience with Azure services: Synapse, SQL DB, Key Vault, Logic Apps, Event Hub, ADX, Log Analytics.
- Experience with Power Platform: Power Apps, Power Automate, Dataverse, Copilot Studio.
- Familiarity with GitHub Copilot and AI-assisted development.
- Strong understanding of dimensional data modelling (Kimball, Inmon).
- Excellent communication and stakeholder engagement skills.
**Preferred Qualifications:**
- Certifications: DP-700, DP-203, AZ-900, Certified ScrumMaster.
- Experience in regulated or security-focused environments.
- Background in Java or Python development.
- Knowledge of AI/ML concepts and their application in analytics.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Senior Manager Data Analytics
Posted 3 days ago
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Job Description
About noon
noon, the region's leading consumer commerce platform. On December 12th, 2017, noon launched its consumer platform in Saudi Arabia and the UAE, expanding to Egypt in February 2019. The noon ecosystem of services now includes marketplaces for food delivery, quick-commerce, fintech, and fashion. noon is a work in progress; we’re six years in, but only 5% done.
noon’s mission: Every door, every day.
What you'll do:
Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.At noon, we’re building one of the most data-driven organizations in the region. As the Senior Manager, Data Analytics, you will play a critical leadership role in shaping how data informs decisions across Fulfillment & Logistics (“Fugistics”). You’ll lead a team of analytics professionals and partner closely with business leaders to drive operational excellence, efficiency, and innovation at scale. You’ll be responsible not only for building advanced analytical models and insights but also for setting the vision and roadmap for data analytics in Fugistics. This role requires a unique blend of technical expertise, business acumen, and leadership skills.
Key Responsibilities:
- Own the end to end supply planning cycle, translating demand forecasts into supply plans for inbound/outbound/returns for fulfilment and logistics teams.
- Collaborate with demand planning, warehouse and logistics teams to ensure adequate capacity is there to fulfill the monthly plan and ensure timely shipping and on-time deliveries.
- Lead seasonal and promotional event planning including inventory build-up strategies, temporary storage solutions, manpower planning by partnering with cross functional teams to ensure seamless execution.
- Monitor Key performance indicators including daily attainment, capacity utilization, promise quality etc.
- Lead, mentor, and grow a high-performing team of Planners and Analysts and drive continuous process improvements across planning processes.
- Partner with senior stakeholders across Operations, Finance, Product, and Technology to translate business problems into structured analytical projects.
- Build and maintain scalable data frameworks, planning models, and dashboards that provide actionable insights for decision-making at all levels.
- Drive forecasting, budgeting, and KPI tracking for key operational metrics across fulfillment centers, last-mile logistics, and supply chain.
- Develop and implement advanced analytical techniques (forecasting, clustering, regression, predictive modeling) to anticipate trends and identify opportunities for efficiency improvements.
- Champion automation and self-service tools to empower teams and reduce manual reporting.
- Act as a thought partner to leadership, proactively identifying risks, opportunities, and areas for strategic investment.
What you’ll need:
- 8+ years of experience in Data Analytics, Business Intelligence, or Strategic Analytics, with at least 3 years in a leadership role.
- Strong background in e-commerce, supply chain, fulfillment, or logistics.
- Proven track record of leading cross-functional analytics projects that drive measurable business impact.
- Deep expertise in SQL, BigQuery, and modern data analytics tools.
- Proficiency in data visualization platforms (Google Data Studio, Power BI, Tableau).
- Strong statistical foundation and experience with forecasting, predictive modeling, regression, clustering, classification techniques.
- Knowledge of programming languages such as Python or R (preferred).
- Bachelor’s or Master’s degree in Engineering, Data Science, Business Analytics, Statistics, or related field.
- Strong leadership qualities: ability to inspire, coach, and build high-performing teams.
Who will excel?
- We’re looking for people with high standards, who understand that hard work matters.
- You need to be relentlessly resourceful and operate with a deep bias for action.
- We need people with the courage to be fiercely original.
- noon is not for everyone; readiness to adapt, pivot, and learn is essential.