2768 Senior Analyst jobs in Mumbai
Business/Data Analyst
Posted today
Job Viewed
Job Description
We're hiring a Business/Data Analyst for a D2C personal care brand headquartered in Mumbai. The ideal candidate brings 2-4 years of experience in data visualization and business analysis, with a strong ability to translate business needs into actionable insights and process improvements.
Location: Mumbai
Mode: 5 days (on-site)
Role & responsibilities:
- Build and maintain Customer Lifetime Value models. Develop analytics capabilities and models for customer acquisition and retention including but not limited to the website.
- Collaborate with business and marketing teams to refine our user acquisition and retention strategies through developing marketing attribution analytics.
- Collect requirements, develop technical strategy, and build the data products and services.
- Responsible for analysing large data sets to develop multiple custom models and algorithms to drive innovative business solutions.
Preferred candidate profile
- 2+ years of B2C Analytics experience
- Tier-1 engineering college graduate/MBA
- Experience in creating, collecting, analysing and communicating business insights from data
- Experience working on metrics such as retention, churn, engagement and marketing analytics
- Excellent SQL and data warehouse skills; experience writing complex queries on large data sets and deriving actionable insights
Data Analyst
Posted 12 days ago
Job Viewed
Job Description
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward - always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
**The Role**
Join Kyndryl as a Data Analyst where you will unlock the power of data to drive strategic decisions and shape the future of our business. As a key member of our team, you will harness your expertise in basic statistics, business fundamentals, and communication to uncover valuable insights and transform raw data into rigorous visualizations and compelling stories.
In this role, you will have the opportunity to work closely with our customers as part of a top-notch team. You will dive deep into vast IT datasets, unraveling the mysteries hidden within, and discovering trends and patterns that will revolutionize our customers' understanding of their own landscapes. Armed with your advanced analytical skills, you will draw compelling conclusions and develop data-driven insights that will directly impact their decision-making processes.
Technical Professional to Design, Build and Manage a Data Warehouse, blending core analytics with data engineering capabilities.
Your role goes beyond traditional data analysis. You will be a trusted advisor, utilizing your domain expertise, critical thinking, and consulting skills to unravel complex business problems and translate them into innovative solutions. Your proficiency in cutting-edge software tools and technologies will empower you to gather, explore, and prepare data - ensuring it is primed for analysis, business intelligence, and insightful visualizations.
Collaboration will be at the heart of your work. As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling together your collective expertise to gather, structure, organize, and clean data. Together, we will ensure the data is in its finest form, ready to deliver actionable insights.
Your unique ability to communicate and empathize with stakeholders will be invaluable. By understanding the business objectives and success criteria of each project, you will align your data analysis efforts seamlessly with our overarching goals. With your mastery of business valuation, decision-making, project scoping, and storytelling, you will transform data into meaningful narratives that drive real-world impact.
At Kyndryl, we believe that data holds immense potential, and we are committed to helping you unlock that potential. You will have access to vast repositories of data, empowering you to delve deep to determine root causes of defects and variation. By gaining a comprehensive understanding of the data and its specific purpose, you will be at the forefront of driving innovation and making a difference.
Key Responsibilities
+ **Data Modelling and Transformation:** Design and build clean, reliable, and scalable data models within the data warehouse or Lakehouse. This involves transforming raw data from various sources into a structured and understandable format that is optimized for analysis.
+ **Warehouse/Lakehouse Development and Maintenance:** Developing and managing the organization's analytical data repository. This includes creating data pipelines, ensuring data quality, and managing the infrastructure that makes data accessible to the broader team.
+ **ETL/ELT Pipeline Management:** Experienced to build and maintain the processes for extracting, transforming, and loading (ETL/ELT) data from source systems into the Data Warehouse or Lakehouse, ensuring the data is fresh and reliable.
+ **Collaboration and Requirement Gathering:** Work closely with business users to understand their data needs and with data engineers to ensure the underlying data infrastructure supports the required analytics.
+ **Documentation and Governance:** A key responsibility is to create and maintain documentation for data models, metrics, and business logic to ensure consistency and trustworthiness in the data
If you are ready to unleash your analytical ability, collaborate with industry experts, and shape the future of data-driven decision making, then join us as a Data Analyst at Kyndryl. Together, we will harness the power of data to redefine what is possible and create a future filled with limitless possibilities.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
**Who You Are**
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.
Required Technical and Professional Expertise
+ 8-10 years of experience as an Data Analyst
+ **Advanced SQL:** Able to write complex, performant SQL / T-SQL queries, Views, Stored Procedures, Functions to transform and model data.
+ **Data Warehousing:** Deep knowledge of modern cloud platforms like **Synapse,** **SQL DWH** **.** Building Schemas, Data Models, Partitioning, Indexing etc
+ **Data Transformation Tools:** Proficiency with tools like **dbt (data build tool)** is essential for modern data transformation workflows.
+ **ETL/ELT Tools:** Experience with data integration platforms such as SSIS, Data factory or the native integration tools of cloud providers.
+ **BI and Visualization Tools:** Strong skills in tools like **Power BI** to build reports and dashboards.
+ **Python:** A good understanding of Python is often required for scripting, automation, and more complex data manipulation tasks.
+ **Version Control:** Familiarity with Git for managing code and collaborating on data models.
Preferred Technical and Professional Experience
+ Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
**Being You**
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you - and everyone next to you - the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
**What You Can Expect**
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter - wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
**Get Referred!**
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Data Analyst
Posted today
Job Viewed
Job Description
Exciting Overseas Opportunity: Business Data Analyst / Intelligence
Location: Bangkok / Hong Kong
Department: Data Analytics / Business Intelligence
Reports To: Head Business Administrator
Working Days: 6 days/week
Employment Type: Full-Time
Salary: Best in Industry
Drive Global Business Decisions with Data – From Insight to Impact!
Are you passionate about leveraging data to shape business strategy? We're offering a unique international career opportunity for a talented Business Data Analyst to join our team in Bangkok or Hong Kong .
This role is ideal for someone who is hands-on with KPI creation , knows how to guide the business on what data truly matters , and is always ready to dive into complex datasets to uncover opportunities and risks . If you’re fluent in Tableau , proactive in your approach, and excited to help global teams make smarter decisions — we want to hear from you.
This role involves an initial solo international deputation on a single visa status (i.e., not family-accompanied).
This opportunity is providing a scope to independently lead analytics for the region and establish data-driven practices from the ground up working closely with the Promoter of the company and help drive business decisions.
Your Key Responsibilities:
Data Visualization & Business Intelligence (Tableau Focus)
- Develop and maintain dynamic Tableau dashboards to visualize performance metrics and trends.
- Work closely with stakeholders to define, create, and monitor KPIs that align with strategic business goals.
- Proactively identify what data needs to be reviewed and provide direction on what insights leadership should be focusing on .
Data Exploration & Business Insight
- Analyze large and complex datasets to generate actionable insights.
- Use data storytelling to highlight opportunities, risks, and performance gaps.
- Help business units make data-informed decisions through deep dives, models, and scenario analysis.
Data Analyst
Posted today
Job Viewed
Job Description
About Nua
Nua is a venture-funded, direct-to-consumer (D2C) brand transforming women’s wellness in India.
Starting with our innovative, chemical-free and India’s only fully customisable sanitary pads, we are on a
mission to develop holistic and personalized solutions for solving real problems that women face. We
do this by building a wellness platform with great products, an impactful community and a personalized
customer experience. With a growing community of over 10 lakh women, we are already India’s largest
and most engaged digital-first FemTech brand.
Our story began with a pad. And not just any pad that could be picked off the shelves but one that was
truly thought around a woman’s needs. Since then, we have grown multi-fold with innovative, inclusive
and effective products that are Made Safe certified and backed by science. We continue to co-create
products with our community and fuel the D2C revolution through deep consumer insights and
investments in technology.
Nua has raised over $22 million in venture funding, backed by marquee investors including Lightbox
Ventures, Kae Capital, Mirabilis Investment Trust, Deepika Padukone and Vindi Singh Banga, and
Kamini Banga of the Banga family office. If you are as passionate as we are in making a difference and
creating real impact in a fast-paced and wildly creative environment, then you might just be the person
we are looking for.
Key Responsibilities
● Build and maintain Customer Lifetime Value models. Develop analytics capabilities and models
for customer acquisition and retention including but not limited to the website.
● Collaborate with business and marketing teams to refine our user acquisition and retention
strategies through developing marketing attribution analytics.
● Collect requirements, develop technical strategy, and build the data products and services that
power Nua.
● Responsible for analyzing large data sets to develop multiple custom models and algorithms to
drive innovative business solutions.
● Collaborate with cross-functional partners across the business.
● Conduct advanced statistical analysis to determine trends and significant data relationships.
● Serve data models as a product to the entire organization, including design, implementation
and debugging.
● Develop models of current state in order to determine improvements needed.
● Research new techniques and best practices within the industry.
What we look for:
● 2+ years of B2C Analytics experience
● Tier-1 engineering college graduate/MBA
● Experience in creating, collecting, analyzing and communicating business insights from data
● Experience working on metrics such as retention, churn, engagement and marketing analytics
● Excellent SQL and data warehouse skills; experience writing complex queries on large data
sets and deriving actionable insights
● Experience in Python
● Experience in Statistical techniques (R, hypothesis testing)
● Experience in data modelling and warehousing
● Experience with tools such as
● Expertise with data visualization, report building, and dashboard tools (e.g.,
● Tableau, Google Analytics and Clevertap)
● Ability to work effectively and independently in a fast-paced environment with tight deadlines
● Strong written and oral communication skills
● Outstanding attention to detail
Preferred Qualifications :
● Bachelor’s / Master’s Degree in Information Technology, Computer Science, Operations
Research, Economics, Mathematics or related field
● Background in hands on statistical analysis and familiarity with core statistical
● functions, including multivariate regression, correlation models, and analysis of variance
● Knows correlation from causation, can identify and manage biases in data, and understands
the implications of sample size on the interpretation of results
Data Analyst
Posted today
Job Viewed
Job Description
Job Description: Data Analyst
As a Data Analyst with an analytics engineering focus, you will be the bridge between our raw data and our business stakeholders. You won't just build dashboards; you will own the entire analytics workflow from modeling and transformation to visualization and deep-dive analysis.
Using your expertise in SQL, Python, and modern BI tools, you will be responsible for creating and maintaining the trusted datasets that the entire company will rely on for decision-making. You will work closely with our Senior Data Engineer to leverage the data platform, ensuring that the data models you build are robust, reliable, and directly answer the most critical business questions.
Key Responsibilities :
● Data Modeling & Transformation: Use dbt to build, maintain, and document robust, reusable data models. You will own the "T" (Transform) in our ELT pipeline, turning raw data from our data lake into clean, trusted, and analysis-ready datasets.
● Business Intelligence & Dashboarding: Develop, deploy, and maintain insightful and intuitive dashboards using BI tools like Power BI, Tableau, or Metabase. You will be responsible for creating a single source of truth for key business metrics.
● Deep-Dive Analysis: Go beyond dashboards to answer complex business questions. Use your analytical skills in SQL and Python to conduct exploratory analysis, identify trends, and provide actionable recommendations to product, marketing, and leadership teams.
● Stakeholder Collaboration: Partner with business stakeholders to gather requirements, define key performance indicators (KPIs), and ensure your analytical outputs are aligned with their strategic goals.
● Data Quality & Documentation: Work with the Data Engineering team to define data quality tests within the transformation layer. Meticulously document your data models and metrics to foster a culture of data literacy.
Required Skills & Experience (Must-Haves) :
● 3+ years of experience in a data analyst, business intelligence, or analytics engineering role.
● Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization.
● Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design.
● Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows.
● Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib.
● Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights.
● Excellent communication skills, with the ability to present complex data stories to a non-technical audience.
Preferred Skills & Experience (Nice-to-Haves) :
● Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake).
● Familiarity with version control using Git.
● Experience working directly with data from NoSQL databases like MongoDB.
● A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion).
● Experience conducting statistical analysis (e.g., A/B testing, regression analysis).
Data Analyst
Posted 8 days ago
Job Viewed
Job Description
Key Responsibilities:
- Edit and format candidate CVs
- Source potential candidates based on the given requirements
- Maintain and update data in Excel
- Review information carefully to make sure it is correct and complete
- Help the team with daily tasks as needed
Requirements:
- Basic knowledge of Microsoft Excel
- Strong attention to detail
- Can work independently and complete tasks on time
- Self-motivated and reliable in task execution
Data Analyst
Posted 13 days ago
Job Viewed
Job Description
Company Description
We suggest you enter details here.
Role Description
This is a full-time on-site role for a Data Analyst located in Ballard Estate,Fort Mumbai. The Data Analyst will be responsible for collecting, processing, and analyzing data to provide insights that support business decisions. The role includes performing data modeling, creating reports, visualizing data, and communicating findings to stakeholders. The Data Analyst will also be expected to ensure data accuracy and identify trends and patterns.
Qualifications
- Possess strong Analytical Skills and understanding of Data Analytics
- Capable of applying Statistics in data analysis
- Experience in Data Modeling
- Excellent Communication skills to present data insights effectively
- Proficiency in data visualization tools and software
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
- Attention to detail and ability to work with large datasets
- Prior experience with financial data analysis is a plus
Be The First To Know
About the latest Senior analyst Jobs in Mumbai !
Data Analyst
Posted 14 days ago
Job Viewed
Job Description
We have exciting opportunities for the role of Data Analytics.
Location : Mumbai - Andheri
Interested candidate can share resume on with subject line Data Analytics and share below details.
Current Salary
Expectation
Notice Period
Education (Full Time / part Time)
Role & Responsibilities :
• Monitor key business trends and KPIs, preparing and distributing daily, weekly, and monthly MIS reports to business teams.
• Oversee and maintain dashboards developed by the analytics team, ensuring accuracy, clarity, and usability.
• Manage and fulfil ad-hoc data requests and analyses from diverse stakeholders promptly and effectively.
• Collaborate closely with Technology, Product, Marketing, and Business teams to evaluate and communicate the business impact of new launches, features, and initiatives
Experience – 3-6 years of experience in SQL, Power BI, Tableau, Coding & Advanced Excel
Education : Full time graduate.
Regards,
Saba
Data Analyst
Posted today
Job Viewed
Job Description
We have exciting opportunities for the role of Data Analytics.
Location : Mumbai - Andheri
Interested candidate can share resume on with subject line Data Analytics and share below details.
Current Salary
Expectation
Notice Period
Education (Full Time / part Time)
Role & Responsibilities :
• Monitor key business trends and KPIs, preparing and distributing daily, weekly, and monthly MIS reports to business teams.
• Oversee and maintain dashboards developed by the analytics team, ensuring accuracy, clarity, and usability.
• Manage and fulfil ad-hoc data requests and analyses from diverse stakeholders promptly and effectively.
• Collaborate closely with Technology, Product, Marketing, and Business teams to evaluate and communicate the business impact of new launches, features, and initiatives
Experience – 3-6 years of experience in SQL, Power BI, Tableau, Coding & Advanced Excel
Education : Full time graduate.
Regards,
Saba
Data Analyst
Posted today
Job Viewed
Job Description
Job Description: Data Analyst
As a Data Analyst with an analytics engineering focus, you will be the bridge between our raw data and our business stakeholders. You won't just build dashboards; you will own the entire analytics workflow from modeling and transformation to visualization and deep-dive analysis.
Using your expertise in SQL, Python, and modern BI tools, you will be responsible for creating and maintaining the trusted datasets that the entire company will rely on for decision-making. You will work closely with our Senior Data Engineer to leverage the data platform, ensuring that the data models you build are robust, reliable, and directly answer the most critical business questions.
Key Responsibilities :
● Data Modeling & Transformation: Use dbt to build, maintain, and document robust, reusable data models. You will own the "T" (Transform) in our ELT pipeline, turning raw data from our data lake into clean, trusted, and analysis-ready datasets.
● Business Intelligence & Dashboarding: Develop, deploy, and maintain insightful and intuitive dashboards using BI tools like Power BI, Tableau, or Metabase. You will be responsible for creating a single source of truth for key business metrics.
● Deep-Dive Analysis: Go beyond dashboards to answer complex business questions. Use your analytical skills in SQL and Python to conduct exploratory analysis, identify trends, and provide actionable recommendations to product, marketing, and leadership teams.
● Stakeholder Collaboration: Partner with business stakeholders to gather requirements, define key performance indicators (KPIs), and ensure your analytical outputs are aligned with their strategic goals.
● Data Quality & Documentation: Work with the Data Engineering team to define data quality tests within the transformation layer. Meticulously document your data models and metrics to foster a culture of data literacy.
Required Skills & Experience (Must-Haves) :
● 3+ years of experience in a data analyst, business intelligence, or analytics engineering role.
● Expert-level proficiency in SQL is absolutely essential. You should be comfortable with complex joins, window functions, and query optimization.
● Proven experience with a modern BI platform like Power BI, Tableau, Looker, or Metabase, from data source connection to final dashboard design.
● Hands-on experience with dbt for data modeling and transformation. You should understand dbt's core concepts and workflows.
● Proficiency in Python for data analysis and automation, specifically with libraries like Pandas, NumPy, and Matplotlib.
● Strong analytical and problem-solving skills, with a demonstrated ability to translate business questions into analytical work and analytical work into business insights.
● Excellent communication skills, with the ability to present complex data stories to a non-technical audience.
Preferred Skills & Experience (Nice-to-Haves) :
● Experience querying data in a cloud data warehouse or serverless query engine (e.g., AWS Athena, Google BigQuery, Azure Synapse, Snowflake).
● Familiarity with version control using Git.
● Experience working directly with data from NoSQL databases like MongoDB.
● A solid understanding of data engineering concepts (e.g., data lakes, ETL vs. ELT, data ingestion).
● Experience conducting statistical analysis (e.g., A/B testing, regression analysis).