306 Data Analysis Tools jobs in Mumbai

ROLES & RESPONSIBILITIES

1 ETL (Informatica & IICS)

2 PL/SQL

3 Python (Nice to have)

4 Unix Experience (Helpful)

• In-depth knowledge of Software Development Life Cycle (SDLC), having a thorough understanding of various phases such as Requirement gathering, Analysis, Design, Development, and Testing.
• Extensive ETL experience using Informatica PowerCenter (Designer, Workflow Manager, Workflow Monitor).
• Excellent in designing ETL procedures and strategies to extract data from different heterogeneous source systems like Oracle, SQL Server, MongoDB, PostgreSQL, DB2, Flat files, JSON, XML.

• Expertise in Developing Mappings and Mapplets/Transformations between Source and Target using Informatica Designer.

• Created mappings in mapping Designer to load data from various sources using transformations like Transaction Control, Lookup (Connected and Un-connected), Router, Filter, Expression, Aggregator, Joiner and Update Strategy, SQL, Stored Procedure and more.

• Experience in handling initial/full and incremental loads.

• Expertise in scheduling workflows Windows scheduler, Unix, and scheduling tools like Apache airflow

• Good knowledge of database language PL/SQL and writing complex SQL Queries to validate source and target data

• Experience in creating Tables, Views, Stored Procedures, and Indexes, troubleshooting database issues and Performance Tuning of Stored Procedures and Database queries.

• Involved in the logical and physical data modeling process to develop corresponding DB objects & ETL flows.

• Knowledge of handling inbound/outbound secured SFTP file transfer.

• Hands-on experience working in LINUX or UNIX Shell scripting

• Knowledge of Python

EXPERIENCE

6-8 Years

SKILLS

Primary Skill: Data Management

Sub Skill(s): Data Management

Additional Skill(s): Python, ETL, DataOps Engineering, Data Preparation, Insight Generation

ABOUT THE COMPANY

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

eClerx is hiring – Apprentice Analyst (Product Data Management) | Mumbai Location

We are looking for
B.E. Mechanical freshers
to join our
Product Data Management team
in Mumbai.

Role Overview:

As an Apprentice Analyst, you will work on enhancing online product data quality for Electrical, Mechanical & Electronics products. Your role will include creating technical specifications, product descriptions, and supporting consultancy projects related to e-commerce taxonomy and navigation.

Key Responsibilities:

• Data enrichment, standardization, normalization, and categorization of product data using research from multiple sources (internet, databases, etc.)
• Conducting data quality checks and corrections
• Basic data profiling and reporting
• Communicating with clients via email for request acknowledgment, project updates, and query responses
• Enhancing product data quality (technical specifications & descriptions) for categories like pumps, motors, HVAC, plumbing, etc.
• Supporting category managers with industry best practices for product data enhancement

Skills & Qualifications:

• Education:
  B.E. in Mechanical Engineering (Mandatory)
• Strong technical knowledge of mechanical/engineering products (pumps, motors, HVAC, plumbing, etc.)
• Basic to intermediate knowledge of MS Office & internet research
• Good communication and collaboration skills

Location:
Mumbai

Eligibility:
Freshers (B.E. Mechanical only)

Compensation:
₹18,000 (in-hand) per month

Interested candidates can share their resumes at L

Job Responsibilities -

• 2-9+ years - work experience within Employee Data Management operations Demonstrate ability and integrity when working with confidential data.
• Excellent communication (verbal and written), organizational, and coordination skills
• Strong service orientation with demonstrated desire and willingness to serve the team and its customers
• Ability to take initiative; be proactive without waiting for direction; strong sense of personal accountability MS Office & Excel Skills.
• Proven leadership experience managing large HR operations teams.
• Expertise in HR systems (SAP SuccessFactors, HRIS platforms) and data governance.
• Strong project management and transformation/automation experience
• Excellent analytical, problem-solving, and decision-making skills
• Ability to influence senior stakeholders and drive organizational change.
• Employee Data Management/HCM/HR Administration/HR Operations
• Lead the Employee Data Management team, ensuring efficient delivery of HR operations across multiple processes.
• Define team objectives, KPIs, and SLAs aligned with organizational goals.
• Oversee escalations, complex cases, and cross-functional HR data initiatives.
• Partner with HR leadership, business leaders, and IT to streamline processes and enhance HR systems.
• Drive continuous improvement, automation, and transformation initiatives.
• Ensure compliance with data privacy, labor laws, and audit requirements.
• Manage workforce planning, resource allocation, and team performance management. Provide strategic input on HR operations and contribute to organizational HR projects.

Contact Person - Marilakshmi S

Email -

1) Should know very well advance excel, google data studio & google sheets

2) Have to manage all the google sheet working of the group

3) Make new sheets as per director requirement

4) Help staff in maintaining & solving any error if any

5) Should be familiar with WhatsApp integration

Job Type: Full-time

Pay: ₹20, ₹35,000.00 per month

Benefits:

• Cell phone reimbursement
• Health insurance

Ability to commute/relocate:

• Charni Road, Mumbai, Maharashtra: Reliably commute or planning to relocate before starting work (Required)

Experience:

• JavaScript: 2 years (Required)
• total work: 3 years (Required)

Work Location: In person

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Your Role:

• Establish and review standards for operations risk in all accounts.
• Support transition activities by setting up effective control and monitoring mechanisms.
• Provide guidance to the business on matters of Operations Risk and help shape policies and procedures.
• Provide Senior management a view of major operational risks facing the business and advise on controls.
• Support manual input and research of information related to financial instruments in customer's data input system.
• Support the business with development, testing and implementation of relevant controls
• Support business development by assisting in risk assessments of new businesses
• Ensure adherence to the Company's Code of Conduct and, where appropriate, comply with all relevant regulatory policies and any mandatory training requirements.
• Embed the culture and awareness of risk management within business.
• Develop and maintain effective working relationships across all business lines.
• Responsible for service delivery and managing Service Level Agreements.
• Management of day-to-day project and service issues. Responsible for escalating unresolved issues to Capgemini and client management. Handle complex customer queries and complaints
• Engage on a day-to-day basis with the customer to ensure that service is delivered as per client requirements
• Help drive continuous improvement programs leveraging framework such as Six Sigma etc.
  Drive and has good knowledge of RPA process.

Your Profile:

• Total experience of at least 7– 8 years, of which at least 5 years of experience in managing teams.
• Knowledge of Capital Market, reference data, market data, hedge funds, corporate actions and securities operations BPO projects with large international/ domestic BPO/ITES companies or shared services operations preferably involving financial data management.
• Should be experienced in operational risk management / service delivery, and quality control in financial services / Investment Banking Operations
• Should have experience in managing mid-sized teams of minimum 15-20 people
• Needs to have experience in managing international customers (from a service delivery perspective)
• Experience in operational excellence initiatives such as Six Sigma, ISO 9000 and RPA
• Ability to drive Quality Assurance team
• Should be a strong contributor in idea generation and efficiency improvement
• Persuasive and clear presentation skills in English
• Clear, competent, professional written communication in English.
• Flexible, able to work under pressure, determination to succeed, mature approach, keen to learn, etc.
• Excellent Communication Skills (Oral and Written English).
  Should be willing to work late shifts, if required

Mandatory

Graduate or Postgraduate in Engineering/Science/Commerce.

Experience in Securities operations domain is a prerequisite

Experience in Operational risk management is a must.

Desired -

M.B.A from a reputed Institute

Additional knowledge/certifications in Capital Markets / Securities operations courses

BPO experience is preferred

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

ROLES & RESPONSIBILITIES

1 ETL (Informatica & IICS)

2 PL/SQL

3 Python (Nice to have)

4 Unix Experience (Helpful)

• In-depth knowledge of Software Development Life Cycle (SDLC), having a thorough understanding of various phases such as Requirement gathering, Analysis, Design, Development, and Testing.
• Extensive ETL experience using Informatica PowerCenter (Designer, Workflow Manager, Workflow Monitor).
• Excellent in designing ETL procedures and strategies to extract data from different heterogeneous source systems like Oracle, SQL Server, MongoDB, PostgreSQL, DB2, Flat files, JSON, XML.

• Expertise in Developing Mappings and Mapplets/Transformations between Source and Target using Informatica Designer.

• Created mappings in mapping Designer to load data from various sources using transformations like Transaction Control, Lookup (Connected and Un-connected), Router, Filter, Expression, Aggregator, Joiner and Update Strategy, SQL, Stored Procedure and more.

• Experience in handling initial/full and incremental loads.

• Expertise in scheduling workflows Windows scheduler, Unix, and scheduling tools like Apache airflow

• Good knowledge of database language PL/SQL and writing complex SQL Queries to validate source and target data

• Experience in creating Tables, Views, Stored Procedures, and Indexes, troubleshooting database issues and Performance Tuning of Stored Procedures and Database queries.

• Involved in the logical and physical data modeling process to develop corresponding DB objects & ETL flows.

• Knowledge of handling inbound/outbound secured SFTP file transfer.

• Hands-on experience working in LINUX or UNIX Shell scripting

• Knowledge of Python

EXPERIENCE

8-11 Years

SKILLS

Primary Skill: Data Management

Sub Skill(s): Data Management

Additional Skill(s): Python, ETL, DataOps Engineering, Data Preparation, Insight Generation

ABOUT THE COMPANY

Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).

Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Kraków, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Role & responsibilities

Minimum 1-2 years work experience within Employee Data Management operations

• Provide initial support for requests and inquiries submitted to the HR organization, including employment verifications, onboarding, time and leave, policies and procedures, and other simple and complex requests that may require research and follow-up for resolution
• Maintains accurate and up-to-date human resource files, records, and documentation.
• Provides transactional and administrative support for HR processes such as Leaves of Absence Administration, Employee life cycle data administration, Administer Separation, Administer Comp & Benefits Changes.
• Providing support for HR Business partners and Business Leaders including but not limited to the Reporting, Data correction and updates in SAP SF
• Managing Data Quality - Ensure that data is up to date, drive the processes, and ensure audit reports are clean & accurate in the HCM system
• Administers new hires, changes, and separations in the organization
• Supports the setup and administration of employee records, data warehousing, and employee file management with a high level of accuracy and discretion

Minimum 3-5 years work experience within Employee Data Management operations

• Handle complex employee requests requiring research, analysis, and follow-up - Leaves of Absence Administration, Employee life cycle data administration, Administer Separation, Administer Comp & Benefits Changes.
• Support HR Business Partners and Leaders with reporting, data corrections, and escalated queries.
• Conduct regular data audits to ensure accuracy, compliance, and quality of HR data.
• Provide guidance and mentorship to Associates on processes and system navigation.
• Contribute to process improvement initiatives within HR Operations.
• Maintains accurate and up-to-date human resource files, records, and documentation.
• Managing Data Quality - Ensure that data is up to date, drive the processes, and ensure audit reports are clean & accurate in the HCM system
• Administers new hires, changes, and separations in the organization

• Supports the setup and administration of employee records, data warehousing, and employee file management with a high level of accuracy and discretion

• Minimum 5-7 years work experience within Employee Data Management operations, with at least 2 years in a supervisory/lead role

• Allocate work, monitor progress, and ensure SLA adherence for requests and transactions.

• Manage escalations and provide expert guidance on complex HR data issues.
• Drive data quality initiatives, ensuring audit reports are accurate and compliance requirements are met.
• Liaise with HR Business Partners and stakeholders to ensure smooth resolution of issues.
• Support team training, knowledge sharing, and continuous process improvements.
• Prepare and analyze reports on team performance, accuracy, and turnaround times.

ROLES & RESPONSIBILITIES

Job Description:

• Work with Senior Data Modeler in preparing the model changes for new requirements.
• Preparing the new Entities, Relationships, establishing Cardinalities based on the inputs from the Senior Data Modeler.
• Visualizing the Data Model for the Changes, Impact Analysis study on the Existing entities before implementing the new Changes into the Standard Data Model.
• Establishing/Identifying the partition keys for new entities in Single View of Customer models.
• Maintaining the versions of the models, data dictionary.
• Ensuring regular cadence with Senior Data Modeler in PACS for the Model, Mapping Changes.
• Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
• Ensure dependencies and challenges (risks) are escalated and managed.
• Ensure timelines (milestones, decisions and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
• Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.

Who we are looking for:

Competencies & Personal Traits

• Work as a team player
• Excellent problem analysis skills
• Experience in Erwin Data Modelling Tool.
• Experience Life/Group Insurance Domain will be added advantage.
• Knowledge of NOSQL databases. Good to have Knowledge in Cosmos DB
• Knowledge of Data modelling and Data mapping.

Working Experience

• 02-05 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications

• Certifications in Insurance Practice would be an added advantage

Education

• Master/bachelor's degree in STEM (Science, Technology, Engineering, Mathematics)

Language

• Fluency in written and spoken English

EXPERIENCE

4.5-6 Years

SKILLS

Primary Skill: Data Management

Sub Skill(s): Data Management

Additional Skill(s): Data Modeling, Insurance SME, Cosmos DB Development, Data Preparation

Job Description
You are a strategic thinker passionate about driving solutions in "Data Science ". You have found the right team.

As a Data Science professional within our
" Asset Management team"
, you will spend each day defining, refining and delivering set goals for our firm

The Asset Management Data Science team is focused on enhancing and facilitating various steps in the investment process ranging from financial analysis and portfolio management to client services and advisory. You will utilize a large collection of textual data including financial documents, analyst reports, news, meeting notes and client communications along with more typical structured datasets. You will apply the latest methodologies to generate actionable insights to be directly consumed by our business partners.

About
Are you excited about using data science and machine learning to make a real impact in the asset management industry? Do you enjoy working with cutting-edge technologies and collaborating with a team of dedicated professionals? If so, the Data Science team at JP Morgan Asset Management could be the perfect fit for you. Here's why:

• Real-World Impact: Your work will directly contribute to improving investment process and enhancing client experiences and operational process, making a tangible difference in our asset management business.
• Collaborative Environment: Join a team that values collaboration and teamwork. You'll work closely with business stakeholders and technologists to develop and implement effective solutions.
• Continuous Learning: We support your professional growth by providing opportunities to learn and experiment with the latest data science and machine learning techniques.

Job Responsibilities

• Collaborate with internal stakeholders to identify business needs and develop NLP/ML solutions that address client needs and drive transformation.
• Apply large language models (LLMs), machine learning (ML) techniques, and statistical analysis to enhance informed decision-making and improve workflow efficiency, which can be utilized across investment functions, client services, and operational process.
• Collect and curate datasets for model training and evaluation.
• Perform experiments using different model architectures and hyperparameters, determine appropriate objective functions and evaluation metrics, and run statistical analysis of results.
• Monitor and improve model performance through feedback and active learning.
• Collaborate with technology teams to deploy and scale the developed models in production.
• Deliver written, visual, and oral presentation of modeling results to business and technical stakeholders.
• Stay up-to-date with the latest research in LLM, ML and data science. Identify and leverage emerging techniques to drive ongoing enhancement.

Required Qualifications, Capabilities, And Skills

• Advanced degree (MS or PhD) in a quantitative or technical discipline or significant practical experience in industry.
• Minimum of 4 years of experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, summarization, personalization, classification or forecasting.
• Advanced python programming skills with experience writing production quality code
• Good understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, gradient descent etc.
• Hands-on experience with deep learning toolkits such as PyTorch, Transformers, HuggingFace.
• Strong knowledge of language models, prompt engineering, model finetuning, and domain adaptation.
• Familiarity with latest development in deep learning frameworks.
• Ability to communicate complex concepts and results to both technical and business audiences.

Preferred Qualifications, Capabilities, And Skills

• Prior experience in an Asset Management line of business
• Exposure to distributed model training, and deployment
• Familiarity with techniques for model explainability and self validation

About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team
J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.