4294 Senior Analyst jobs in Mumbai

About Us

Traya is an Indian direct-to-consumer hair care platform that provides a holistic treatment for individuals experiencing hair loss. Through personalized consultations, we identify the root cause of hair fall using a combination of Ayurveda, Allopathy, and Nutrition. Our unique diagnostic platform, combined with medically trained hair coaches and proprietary tech, ensures customers receive customized solutions delivered right to their doorstep — and the ongoing guidance they need to stay on track. Founded by Saloni Anand (techie-turned-marketeer) and Altaf Saiyed (Stanford GSB alumnus), Traya's mission is to de-stigmatize hair loss, address its emotional and psychological impact, and make effective treatment accessible to all.

Our Vision

We aim to create a global awareness movement around hair loss while delivering a scientifically proven, holistic solution that combines the best of three sciences.

Key Responsibilities:

1. Data Analysis and Reporting:

● Perform data analysis using SQL, Pandas, Numpy, and Seaborn.

● Generate reports and dashboards to support business decision-making.

● Identify trends, patterns, and anomalies in data to provide actionable insights.

2. Stakeholder Management:

● Workclosely with different stakeholders and understand their data requirements

● Translate business requirements into technical specifications and deliver results that meet stakeholder expectations.

3. Communication and Presentation:

● Communicate complex data insights in a clear and concise manner to both technical and non-technical audiences.

● Prepare and present detailed reports, visualisations, and presentations to stakeholders.

4. Problem-Solving:

● Utilise strong reasoning skills to tackle complex problems and provide data-driven solutions.

● Continuously seek opportunities to improve processes and contribute to the team's success.

Requirements:

1. Technical Skills:

● Proficiency in SQL for data extraction and manipulation.

● Hands-on experience with Python libraries such as Pandas, Numpy, and Seaborn.

● Ability to handle large datasets and perform complex data analysis.

2. Communication Skills:

● Excellent verbal and written communication skills.

● Ability to articulate insights and recommendations clearly to various stakeholders.

3. Analytical Skills:

● Strong reasoning and analytical skills to interpret data accurately.

● Excellent presentation skills to effectively convey data findings.

4. Interpersonal Skills:

● Experience dealing directly with stakeholders.

● Ability to work collaboratively in a fast-paced environment.

Why Join Us:

● Opportunity to work in a fast-growing startup environment.

● Bepart of a team that values data-driven decision-making.

● Acollaborative and inclusive work culture that encourages innovation.

● Professional development opportunities and career growth

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

About the Company

Lauritz Knudsen Electrical and Automation (A unit of Schneider Electric India Pvt. Ltd.) is a pioneering electrical and automation brand with a rich legacy of over 70 years in India. We offer a comprehensive portfolio of low-voltage switchgear, medium-voltage switchgear, automation solutions, software, and services catering to diverse segments, including homes, agriculture, buildings, infrastructure, and industry. L&T Switchgear is now Lauritz Knudsen Electrical & Automation.

About the Role

The Data Analyst provides expert-level support to business units in managing master data objects. This includes offering guidance, training, and hands-on assistance to ensure data integrity, consistency, and compliance with organizational standards.

Responsibilities

• Expert Guidance & Training
• Deliver training sessions and documentation to business users on master data standards and processes.
• Act as a subject matter expert (SME) for master data objects across various domains (e.g., customer, vendor, material, finance).
• Provide ongoing support and consultation to ensure correct usage and maintenance of master data.

• Master Data Maintenance
• Execute master data creation, updates, and deletions in line with defined Service Level Agreements (SLAs).
• Ensure high levels of accuracy and completeness in all master data transactions.
• Collaborate with cross-functional teams to validate and verify data inputs.

• Quality Assurance & Compliance
• Monitor data quality and perform regular audits to identify inconsistencies or errors.
• Implement corrective actions and continuous improvement initiatives.
• Ensure compliance with internal data governance policies and external regulatory requirements.

• Reporting & Analysis
• Generate reports on master data performance, SLA adherence, and data quality metrics.
• Analyse trends and provide insights to improve data management practices.

Qualifications

• B.Tech /B.E/MCA/BCA/M.Sc-IT/CS
• Experience: 4-8 years

Required Skills

• Strong understanding of master data domains and governance principles.
• Proficiency in data management tools and ERP systems (e.g., SAP, Oracle).
• Excellent communication and training skills.
• Detail-oriented with a focus on data accuracy and process efficiency.
• Ability to work collaboratively across departments.

Preferred Skills

• Performance Metrics
• SLA compliance rate for master data tasks.
• Accuracy and completeness of master data entries.
• Number of training sessions conducted and user satisfaction scores.
• Frequency and resolution rate of data quality issues.

Schedule: Full-time

Equal Opportunity Statement

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate and we ‘embrace different’ as one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here .

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

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.

strong>4+ years of experience in data analysis, reporting, and business intelligence.

trong proficiency in SQL for complex queries and data validation.

ands-on experience with PySpark for data transformations.

nowledge of Unity Catalog in Databricks for data governance and access

management.

xpertise in Power BI for building automated dashboards and reports.

Role- Data Analyst

Location : Mumbai (Goregaon East)

About the Role : Analyse sales data, including historical performance, trends, and market insights, to identify opportunities and challenges.

What you'll be Responsible for?

• Work closely with Management and business strategy team to model, analyze, prepare, and summarize information for company’s Sales, Products, New initiatives, organic and inorganic growth etc Lead strategic partnerships and other organic and in organic initiatives for the growth of the organization.
• Data Crunching, Data mining and Analyzing sales data, including historical performance, trends, and market insights, to identify opportunities and challenges.
• Create meaningful reports, dashboards, and presentations to visualize and communicate sales performance metrics to the sales team and management.
• Work closely with the sales team to develop sales targets and strategies based on data-driven insights.
• Preparing and monitoring funnels performance weekly for sales team
• Work with Business Teams to monitor potential opportunities.
• Tracking performance (Target vs achievement) of business team product wise and presenting to management
• Ensure the CRM system is utilized effectively for tracking leads, opportunities, and customer interactions.
• Providing access of CRM tools to business team and providing solutions if any issue team is facing regarding CRM tools.
• Providing sales data to respective sales representatives, generating reports, and supporting them as and when needed. (Majorly Traffic and Revenue report, Funnel pipeline stage etc.)
• Act as a liaison between the sales team and other departments
• Ensuring the team is updating their opportunities, leads and their pipeline stages in CRM regularly.

What You'd have?

• Bachelor / master’s degree in business, Sales, Finance, or a related field.
• Proven 3-4 years of experience in data analysis and interpretation, preferably in a sales or marketing context.
• Proficiency in data crunching & analysis (e.g., Advanced Microsoft Excel skills are must)
• Strong attention to detail and analytical thinking
• Excellent communication and interpersonal skills
• Ability to work independently and collaborate effectively within a team.
• Highly organized with the ability to manage multiple tasks and deadlines.
• Prior experience with CRM systems is a plus.

**ONLY Immediate Joiners**

With Leading BPO/KPO.

Job Purpose

The Senior Data Analytics Analyst will play a key role in delivering hands-on analytics solutions across the UK and Ireland. This role focuses on bespoke report building, dashboard development, and advanced data analysis using technologies such as Power BI, Microsoft Fabric, Snowflake, Azure, AWS, Python, SQL, and R. Experience in data science is highly advantageous, including the application of machine learning and predictive modelling to solve business problems.

1. Accountabilities & Activities

• • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.
• • Perform advanced data analysis and visualisation to support business decision-making.
• • Develop and maintain data pipelines and queries using SQL and Python.
• • Apply data science techniques such as predictive modelling, classification, clustering, and regression to solve business problems and uncover actionable insights.
• • Perform feature engineering and data preprocessing to prepare datasets for machine learning workflows.
• • Build, validate, and tune machine learning models using tools such as scikit-learn, TensorFlow, or similar frameworks.
• • Deploy models into production environments and monitor their performance over time, ensuring they deliver consistent value.
• • Collaborate with stakeholders to translate business questions into data science problems and communicate findings in a clear, actionable manner.
• • Use statistical techniques and hypothesis testing to validate assumptions and support decision-making.
• • Document data science workflows and maintain reproducibility of experiments and models.
• • Support the Data Analytics Manager in delivering analytics projects and mentoring junior analysts.
• • Design and build interactive dashboards and reports using Power BI and Microsoft Fabric.

1. Qualifications, Knowledge & Experience

• • Professional Certifications (preferred or in progress):
• - Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• - SnowPro Core Certification (Snowflake)
• - Microsoft Certified: Azure Data Engineer Associate
• - AWS Certified: Data Analytics – Specialty
• • Strong technical expertise in Power BI, Microsoft Fabric, Snowflake, SQL, Python, and R.
• • Experience with Azure Data Factory, Databricks, Synapse Analytics, and AWS Glue.
• • Hands-on experience in building and deploying machine learning models.
• • Ability to translate complex data into actionable insights.
• • Excellent problem-solving and communication skills.

1. Judgement Skills

• Balances team development with delivery priorities and business needs.
• Makes informed decisions on technical design, resource allocation, and delivery timelines.
• Evaluates project outcomes and identifies opportunities for team and process improvement.
• Encourages experimentation while maintaining delivery discipline and governance.

1. Dimensions

Financial:

• Supports budgeting and cost optimisation for analytics projects.
• Contributes to revenue growth through data-driven client solutions.

Non-Financial:

• Drives adoption of modern analytics tools and practices.
• Builds strong relationships across business units and with external clients.

1. Environment

• Build strong relationships and influence key decision makers.
• Able to work under pressure and adapt to change.

Strong knowledge of Diamonds (mandatory)

Advanced Excel expertise

Experience in Power BI & Python

Knowledge of process/system development

Understanding of Repent Data

Sales analytical reporting skills to support decision-making

Job Types: Full-time, Permanent

Pay: ₹50, ₹60,000.00 per month

Benefits:

• Health insurance
• Paid time off
• Provident Fund

Experience:

• Manufacturing: 4 years (Preferred)

Work Location: In person