295 Planning Analytics jobs in India
Senior Analyst - Supply Chain Planning Analytics
Posted 2 days ago
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Job Description
**At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.**
**Job Overview**
We are seeking a motivated and analytical Supply Chain Analyst to join our dynamic team. This role will focus on providing data-driven insights for upstream supply chain within our supply chain organization. The ideal candidate will be a recent graduate or early career professional with a passion for supply chain management and a keen interest in developing talent and skills frameworks.
**Job Requirements**
**Upstream Analytics Dashboard**
+ Develop various dashboards for Upstream Supply Chain
+ Provide data-driven insights to BU Planners / Buyers highlighting Service / Cash / Cost saving opportunities
+ Support Planning team on upstream data analysis from time to time
**Material Master Data**
+ Help deep-dive into master data issues and collaborate with BU's to fix them
+ Keep track of master data standards and report usage monitor
+ Support central KPI team with monthly reports on material master data
**Upstream Supply Chain scorecard**
+ Conduct data accuracy gap analyses to identify data gaps across BU for various KPI's
+ Assist in developing score-carding tools and methodologies
+ Analyse assessment results and provide insights to management
**Tech Development**
+ Contribute to the creation of multi-way data exchange projects led by TEIS
+ Assist in identifying relevant Upstream analytics & insights trainings
+ Track and report on training effectiveness and completion rates
**Competency**
+ Assist in aligning KPI competencies with business objectives and integrating them into various reports
+ Assist in identifying top performers across different BU's supported with progress trend charts
+ Support the implementation of competency-based performance evaluations
**Desired Candidate Profile:**
+ 5-7 years of experience in supply chain or a related field (internships and co-op experiences are valuable)
+ Strong analytical and problem-solving skills
+ Proficiency in Microsoft Office Suite, especially Excel
+ Excellent written and verbal communication skills
+ Ability to work effectively in a team environment
+ Keen interest in talent development and skills management
+ Familiarity with supply chain processes and terminology
+ Experience with data visualization tools (e.g., Power BI, Tableau)
+ Understanding of lean principles and continuous improvement methodologies
+ Analytical thinking and data interpretation
+ Project management and organization
+ Attention to detail
+ Interpersonal and communication skills
+ Adaptability and willingness to learn
+ Creativity and innovation in problem-solving
**Competencies**
Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
**ABOUT TE CONNECTIVITY**
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS. Learn more at and on LinkedIn ( ,Facebook ( ,WeChat, ( Instagram andX (formerly Twitter). ( TE CONNECTIVITY OFFERS:**
We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!
- Competitive Salary Package
- Performance-Based Bonus Plans
- Health and Wellness Incentives
- Employee Stock Purchase Program
- Community Outreach Programs / Charity Events
- Employee Resource Group
**IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD**
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity **never requests payment or fees** from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come **only from** **actual** **email addresses ending in @te.com** . If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.
Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.
Location:
Bangalore, KA, IN,
City: Bangalore
State: KA
Country/Region: IN
Travel: None
Requisition ID:
Alternative Locations:
Function: Logistics
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.
Software Engineer II - TM1/Planning Analytics Platform
Posted 2 days ago
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Job Description
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
Job Description:
This position will primarily support the TM1 administrative function in Finance and GSM Technology. The role involves managing and supporting TM1 environments and related application platforms, ensuring high availability, security, and optimal performance. The candidate will work closely with development teams, other Technology teams and product vendors, supporting ~1800 global users, and will be responsible for platform maintenance, monitoring, troubleshooting, automation, and process improvement.
Key Responsibilities:
+ Manage TM1 environments across Development, QA, and Production, ensuring efficient and cost-effective availability.
+ Proactively monitor TM1 platforms and related infrastructure for performance, availability, and capacity.
+ Support and manage TM1 infrastructure projects, including application installation, upgrades, patching, and certificate renewals.
+ Provide technical support to TM1 developers and end-users for platform-related queries and issues.
+ Administer TM1 application-related activities and processes, including user access management.
+ Perform troubleshooting and root cause analysis for application and infrastructure issues.
+ Develop and maintain automation scripts (PowerShell, VBScript, Batch) for logon, backup/restore, and other administrative tasks.
+ Support disaster recovery exercise and backup/restore procedures for TM1 environments.
+ Ensure compliance with AET policies and SDLC methodologies for application infrastructure.
+ Track upgrades and new capabilities, ensuring timely communication and adoption within the team.
+ Maintain and enhance user access processes and ensure optimal use of available infrastructure.
+ Perform research and analysis for problem-solving and support senior management in decision-making.
+ Document system configurations, processes, and procedures.
+ Must be open to work in shifts.
Qualifications:
+ Bachelor's or Master's degree in Computer Science or related field or relevant experience
+ 3-5 years of experience in application platform maintenance/administration, preferably with TM1/IBM Planning Analytics.
+ Experience in both Windows and Linux administration.
+ Strong troubleshooting and problem-solving skills.
+ Experience with application installation, upgrades, and certificate management.
+ Proficient in scripting (PowerShell, VBScript, Batch) for automation and logon scripts.
+ Knowledge of client-server and multi-tier application architecture; understanding of TM1 application architecture preferred.
+ Understanding of SDLC methodologies; open to learning new technologies.
+ Excellent communication skills and ability to work independently or as part of a cross-functional team.
Preferred Skills:
+ TM1/IBM Planning Analytics administration experience.
+ Experience or knowledge with CI/CD pipelines and cloud platforms (GCP/AWS).
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Technology
**Primary Location:** India-Haryana-Gurgaon
**Schedule** Full-time
**Req ID:**
Data Analysis - ETL
Posted 594 days ago
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Job Description
Looking For ETL Data Analyst Having Experience in the Healthcare domain
Greetings From 2COMS Group!Total Exp - 5 to 10 yrs
Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)
Healthcare business and data analysis
Job Description• Create source-to-target mapping based on requirements
• Create rules definitions and transformation logic
• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving
• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.
• Research complex functional data/analytical issues, good troubleshooting skill • Gather business requirements for analytical applications in iterative/agile development model.• Assume responsibility for data integrity among various internal groups and/or between internal and external sources
• Proficient in SQL understands data modeling concepts and ETL
• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work
• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.
• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution
Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)
Undergraduate degree or equivalent experience
• 5 or more years of data analysis experience
• 5 or more years of systems analysis/requirement gathering experience
• 3+ year of Health Care/Claims data experience
BenefitsAs per Co normsHR Data Analysis Manager
Posted 2 days ago
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Job Description
+ Report to the Director Data Analytics and collaborate with the team to produce insights, perform exploratory data analysis for leadership requests and maintain data visualization tools delivering people and business metrics.
+ Design and develop compelling dashboards using advanced analytics, interactive dashboard design, and data storytelling techniques.
+ Deliver operational talent reports with data-driven narratives.
+ Engage with People team and business stakeholders to gather requirements and support scheduled/ad hoc reporting.
+ Develop, implement, and maintain dashboards and reports for key stakeholders (e.g., Executive Leadership, HR leaders, Business Partners).
+ Innovate to automate and streamline processes.
+ Responsible for data cleansing, validation, testing, and large-scale data analysis.
+ Handle sensitive human capital data with discretion and sound judgment.
+ Collaborate with project teams to ensure correct identification of data impacted by changes.
**Education:**
+ Bachelor's degree in engineering, Computer Science, Mathematics, or related technical field.
**Experience:**
+ 8+yrs of total experience with atleast 5yrs of relevant Experience in analytics roles working with large datasets.
+ Self-motivated, curious, independent, and eager to learn.
**Technical Skills:**
+ Analytics data modelling, storytelling, and visualization using tableau, Power BI, SQL, other advanced analytical tools
+ Exposure to R, Python is an added advantage.
+ Experience in Workday reporting, Viva GLINT, Visier, HR data systems.
+ Preprocessing structured/unstructured data.
+ Advanced MS Excel, PowerPivot, Power BI, Power Platform, DAX.
**Other Requirements:**
+ Ability to work in virtual teams across time zones.
+ Broad understanding of HR processes and metrics (e.g., Workforce Metrics, Recruitment, Compensation, Talent Management).
+ People management experience (a plus).
+ Knowledge of ERP, HR systems, and Business Intelligence tools.
+ Ability to handle stress and prioritize effectively with management support.
Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
Research Intern - Data Analysis
Posted 7 days ago
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Job Description
Key Tasks:
- Assist in data collection and data entry processes.
- Perform data cleaning and preprocessing to ensure data quality.
- Conduct statistical analysis under the guidance of senior researchers.
- Create data visualizations to illustrate findings.
- Contribute to research reports and presentations.
- Learn and apply various data analysis techniques.
- Collaborate with team members on research projects.
Requirements:
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of statistical concepts and methods.
- Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Good written and verbal communication skills.
- Ability to work effectively in a team environment.
- Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.
Graduate Trainee - Data Analysis
Posted 7 days ago
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Job Description
Key responsibilities include assisting in the development of data models, performing statistical analysis, and creating visualizations to communicate findings effectively. The trainee will learn to use various data analysis tools and software, gaining practical experience in extracting meaningful insights from complex datasets. This role requires strong analytical and problem-solving abilities, attention to detail, and a willingness to learn. The ability to work collaboratively within a remote team environment is essential. This program emphasizes continuous learning and development, providing mentorship and exposure to real-world data challenges. Graduates will have the chance to make tangible contributions while building a strong foundation for their professional future.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and data analysis methodologies.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong communication and teamwork abilities.
- Ability to work independently and manage tasks effectively in a remote setting.
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Graduate Trainee - Data Analysis
Posted 8 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Create data visualizations and reports to communicate findings.
- Support data scientists and analysts in developing analytical models.
- Contribute to data quality checks and validation processes.
- Learn and apply various data analysis tools and techniques.
- Participate in team meetings and contribute to project discussions.
- Assist in documenting data analysis processes and methodologies.
- Understand business requirements and translate them into data analysis tasks.
- Develop basic skills in statistical analysis and reporting.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and principles.
- Basic understanding of data analysis and visualization techniques.
- Proficiency in MS Excel and familiarity with data analysis software (e.g., Python, R, SQL - basic knowledge is a plus).
- Excellent analytical and problem-solving skills.
- Strong communication and interpersonal abilities.
- Eagerness to learn and a proactive attitude.
- Ability to work effectively in a team environment.
- Attention to detail and accuracy.
Graduate Trainee - Data Analysis
Posted 12 days ago
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Job Description
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic statistical analysis on datasets to identify trends and patterns.
- Create clear and concise data visualizations (charts, graphs) to communicate findings.
- Support senior analysts in developing reports and dashboards.
- Learn and apply data analysis tools and techniques.
- Contribute to data quality checks and validation processes.
- Collaborate with cross-functional teams to understand data needs.
- Assist in interpreting data and providing actionable insights.
- Participate in training sessions to enhance data analysis skills.
- Document methodologies and findings for future reference.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative field.
- Recent graduates with a strong academic background in quantitative subjects.
- Basic understanding of statistical concepts and methods.
- Proficiency in Microsoft Excel is required.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is a plus.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
Graduate Trainee - Data Analysis
Posted 12 days ago
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Job Description
- Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Python or R.
- Good understanding of SQL and database concepts.
- Familiarity with data visualization tools is a plus.
- Excellent communication and teamwork skills.
- Eagerness to learn and develop expertise in data analysis.