Data Mining Engineer
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Location: World Trade Center, Cuffe Parade, Mumbai
Working: 6 Days a week (2nd Saturday Off)
Immediate Joiner Prefered
Timings: Flexible
Industry: Chemical Manufacturing
Data Mining Engineer
Experience Required: 34 years minimum
Location: World Trade Center, Cuffe Parade, Mumbai
Role Summary:
We are seeking a Data Mining Engineer to analyze complex data sets and provide insights that support business decision-making. The candidate will work with multiple teams to extract valuable business intelligence from raw data.
Key Responsibilities:
- • Collect, clean, and organize large sets of structured and unstructured data.
- • Develop data mining models, algorithms, and scripts for predictive analysis.
- • Work with SQL, Python, R, and other analytics tools to process data efficiently.
- • Generate actionable reports for the management and sales team.
- • Apply statistical analysis and machine learning techniques to identify business opportunities.
- • Collaborate with marketing to track lead generation and sales performance.
- • Experience in handling manufacturing or chemical industry data preferred.
Qualifications & Skills:
- • Bachelors or Master's degree in Computer Science, Data Science, or related field.
- • Minimum 3–4 years of hands-on data mining and analytics experience.
- • Strong programming skills in Python, R, and SQL.
- • Excellent problem-solving and analytical skills.
Data Mining Engineer
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PLEAE READ JD CAREFULLY BEFORE APPLYING
LOCATION: COLABA
Company Description
SIDDHARTH CARBOCHEM PRODUCTS LIMITED is a chemicals company headquartered on the 6th Floor of the World Trade Centre, Colaba in Mumbai, Maharashtra, India. The company specializes in various chemical products and serves a diverse clientele. Our focus is on delivering high-quality products and exceptional customer service.
Data Analysis Expertise
- Statistical Analysis
: Proficiency in statistical tools like R-studio and Python. - Big Data Handling
: Experience with big data tools such as Spark, ElasticSearch/OpenSearch, and Kafka. - Machine Learning
: Knowledge of machine learning libraries like NumPy, SciPy, and MLlib. - Data Mining
:
Ability to perform data mining and text mining in multiple languages.
Technical Skills
- Scripting Languages
: Proficiency in scripting languages (e.g., R, bash, Python, Perl, Lua). - Visualization Tools
: Skilled in data visualization and presentation. - Managing and working within large data sets
Data Mining Analyst
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improve overall data quality for Service Business Enterprise systems.
bring expertise in Excel, and we will train you on tools to manipulate large data sets.
analyze, manipulate, and validate large data sets pulled from SAP CRM and ECC applications according to defined business rules and procedures.
Work under the direction of our Data Quality Program leads
to support the Data Strategy program within the Services Global Operations team.
focus on details, organize and follow thru
Candidate should have:
Strong communication skills, ability to work independently and as a team member in a global setting.
5+ years of data manipulation and data mining experience
Associates, Bachelors or equivalent education/experience
Strong working knowledge of Excel, PivotTables, and Macros
SAP ECC/CRM/HANA experience a plus
Strong analytical and logical skills
Data Mining & Research Specialist
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Our Story ISMG is a tech- enabled, global intelligence firm specializing in cybersecurity journalism, technology, and artificial intelligence.
We deliver a comprehensive portfolio of content, data analytics, training and market intelligence to support cybersecurity, operational technology (OT), fraud prevention, and risk management industries.
With 10+ brands, 38 digital media properties, and over 400 premier events annually—ISMG connects a network of over 2M executives, decision-makers, and innovators with the insights and opportunities they need to stay ahead.
The Opportunity ISMG is currently seeking a Data Mining & Research Specialist to join our team!
In this role, you will contribute to a variety of critical data projects, conducting thorough research on various aspects of the ISMG subscriber base.
By consistently updating data entry points, your work will ensure all relevant information is accurate and current.
Responsibilities Executing research projects, involving standardized and customized data sets, catering to ISMG's customer base and internal business needs. Contributing to the management of large data sets, ensuring accuracy, integrity, and timely delivery of projects. Collaborating with internal stakeholders to provide regular progress updates, proactively identifying challenges or potential roadblocks and addressing them promptly. Requirements & Preferred Experience Bachelor's Degree in Business, Marketing, Statistics, or a related field is preferred.
At least one year of professional experience in Market Research fields.
Advanced expertise in Excel with the ability to handle complex data analysis tasks.
Proficiency in Microsoft Word and PowerPoint, with a strong ability to learn and adapt to other data and marketing programs quickly.
Data manipulation and/or quantitative research experience is preferred. In lieu of experience, must have a strong desire to learn.
Experience with hierarchical databases and exposure to data software packages is preferred.
Knowledge of Power BI is a major advantage.
Exceptional communication, both written and verbal, along with strong presentation abilities.
Excellent time management and project management skills.
Additional Details: Location: on-site at our Mumbai office. Mandatory in-office presence required Monday-Friday during standard hours of operation. Powered by JazzHR
Enterprise Miner – data mining co...
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• Ability to think abstractly and deal well with ambiguous/undefined problems.
• Ability to effectively articulate technical challenges and solutions.
• Experience taking a leading role in defining models for complex data lakes and making
• information useful at various levels, from operations to senior stakeholders.
Strong object-oriented design and coding skills.
Data Science + Machine Learning- Python, SQl, DAta Mining
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MUST HAVE EXP IN HR ANALYTICS WITH EXCELLENT HANDS ON Data Science, Machine Learning, Data Understanding, Python, SQL
LOCATION- Bangalore
SALARY -16 TO 31 LPA DEPENDING ON LAST SALARY AND EXPERIENCE(30-40% HIKE ONLY)
Analyst - Data Management
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Standort
Indien
Maharashtra
Pune
Unternehmen
Siemens Energy Industrial Turbomachinery India Private Limited
Organisation
Transformation of Industry
Geschäftsbereich
Compression
Vollzeit / Teilzeit
Vollzeit
Erfahrungsniveau
Berufserfahrene
A Snapshot of Your Day
- You will be responsible to demonstrate a personal commitment to perfection, actively support and participate in the Total Quality process, promote positive change, and encourage continuous process improvement. Contribute to teamwork by building alliances among work units and cooperating effectively with others to achieve departmental and operational objectives.
- Support the company's Equal Employment Opportunity Policy, including the implementation of affirmative action plans. Operate in a manner that ensures compliance with all federal, state, and local employment legislation
How You'll Make an Impact
- Coordinate with the Cost Out Manager to obtain the input and data sheets required to create tasks in the SE-specific Cost Out tool.
- Create the product baseline structure, update attributes, and publish the tasks. Regularly follow up on measures with the task owner and ensure progress is updated in the Cost Out tool.
- Demonstrate adequate knowledge and experience in using JIRA for project management and issue tracking.
- Manage the creation of Monthly, Weekly, and Daily Reports in MS Excel using sophisticated features (including Pivot Tables and VLOOKUP), VBA (Macros), and Power BI at the operational level.
- Organize and maintain the tracking system and files for easy retrieval of information when needed.
- Have experience with supply chain management (SCM) activities, including quotations, purchase orders (PO), and goods receipt notes (GRN) processes.
- Apply A3 problem-solving techniques to identify root causes and develop effective solutions.
What You Bring
- Bachelor's degree in mechanical or production engineering with 5+ Years of Working experience in compressor and gas turbine equipment
- Experience in Data Presentation: Proficient in presenting data in graphical formats.
- Advanced Excel Certification: Certification in Advanced Excel Training is a plus.
- Strong English Language Skills: Excellent communication skills in English, both written and verbal.
- Ability to effectively interact with a high volume of Siemens project personnel in day-to-day responsibilities.
- Capable of managing time effectively and prioritizing workloads to meet deadlines
About the Team
Our Transformation of Industry division is decarbonizing the industrial sector. Increasing electrification and efficiency are key and demand for green H2 and derivative fuels will rise. We enable decarbonization of the industrial sector and the transition to sustainable processes, building on a strong industrial customer base, a global network, diverse technologies, and integrated execution capabilities. Candidates want to learn about the divisions they will be joining–the structure, how it works together, and the role it plays in driving Siemens Energy's mission forward.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy:
Our Commitment to Diversity
Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences.
Rewards/Benefits
- All employees are automatically covered under the Medical Insurance. Company paid considerable Family floater cover covering employee, spouse and 2 dependent children up to 25 years of age.
- Siemens Energy provides an option to opt for Meal Card to all its employees which will be as per the terms and conditions prescribed in the company policy as a part of CTC, tax saving measure
- Flexi Pay empowers employees with the choice to customize the amount in some of the salary components within a defined range thereby optimizing the tax benefits. Accordingly, each employee is empowered to decide on the best Possible net income out of the same fixed individual base pay on a monthly basis
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Data Management Specialist
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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.
Product Data Management
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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
Employee Data Management
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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 -