Analog Devices Associate Analyst Hiring 2026 | Freshers Apply
Analog Devices Associate Analyst Hiring 2026 | Freshers Apply
Analog Devices is hiring candidates for the Associate Analyst, Supply Chain Planning role, India. This is a full-time opportunity for BE and B.Tech graduates with 0–1 years of relevant experience who have skills in SQL, PL/SQL, Tableau, Basic and Advanced Excel, data analytics, and supply chain operations.
The Associate Analyst will work with the Supply Chain team to analyze day-to-day supply chain issues, troubleshoot complex planning challenges, develop improvement strategies, enhance data analytics, support data governance, automate tasks, and contribute to continuous system improvement projects. Knowledge of Python and experience applying Machine Learning to improvement initiatives are additional advantages.
Quick Job Snapshot
| Company Name | Analog Devices, Inc. |
|---|---|
| Role | Associate Analyst, Supply Chain Planning |
| Qualification | BE / B.Tech Graduate |
| Experience | 0–1 Years of Relevant Experience |
| Eligible Batch | Not Specified |
| Salary | Not Disclosed |
| Job Type | Full-Time |
| Key Skills | SQL, PL/SQL, Tableau, Basic & Advanced Excel |
| Shift Type | 1st Shift / Days |
| Travel Requirement | Yes, 10% of the Time |
| Job Requisition ID | R262494 |
About Analog Devices
Analog Devices, Inc. is a global semiconductor company that combines analog, digital, AI, and software technologies to develop solutions connecting the physical and digital worlds. Its technologies support areas including automation and robotics, mobility, healthcare, energy, data centers, and other intelligent-edge applications.
The Supply Chain team works on planning, analytics, systems, processes, and operational improvements. The Associate Analyst opportunity provides exposure to supply chain performance analysis, planning issue resolution, data analytics, automation, data governance, system support, and cross-functional improvement initiatives.
About the Associate Analyst, Supply Chain Planning Role
The Associate Analyst will be responsible for analyzing day-to-day supply chain issues and developing strategies for permanent improvement. The selected candidate will work closely with Supply Chain Analytics and system teams to understand operational problems and support continuous system improvement projects.
The role requires an understanding of key supply chain functions and supply chain operations. Candidates should be comfortable analyzing complex problems, working with data, troubleshooting planning issues, supporting users, maintaining system processes, and collaborating with cross-functional teams globally.
Key Responsibilities
- Analyze key Supply Chain Performance Indicators.
- Develop actionable plans to resolve ongoing supply chain issues.
- Identify permanent resolution steps for recurring problems.
- Troubleshoot complex supply chain planning issues.
- Analyze planning problems and propose effective solutions.
- Develop new supply chain functionalities.
- Develop and improve business processes.
- Support business processes that contribute to organizational goals.
- Improve supply chain data analytics capabilities.
- Identify opportunities to improve data governance.
- Automate repetitive tasks to support the wider analytics group.
- Work closely with Supply Chain Analytics teams.
- Collaborate with system teams on improvement initiatives.
- Contribute to continuous system improvement projects.
- Support users with day-to-day questions.
- Resolve or support the resolution of system-related issues.
- Monitor and maintain system processes.
- Maintain documentation related to support processes.
- Document support procedures accurately.
- Collaborate with cross-functional teams globally.
- Drive continuous improvement initiatives with ownership and accountability.
Eligibility Criteria
- Candidates should be BE or B.Tech graduates.
- Applicants should have 0–1 years of relevant experience.
- Hands-on SQL knowledge is required.
- Hands-on PL/SQL knowledge is relevant for the role.
- Candidates should have practical knowledge of Tableau.
- Knowledge of Basic Excel is required.
- Advanced Excel skills are expected.
- Strong analytical skills are required.
- Good communication skills are essential.
- Strong presentation skills are required.
- Candidates should demonstrate a high sense of ownership.
- Applicants should demonstrate accountability for their work.
- Candidates should be capable of driving improvement with cross-functional teams globally.
- Hands-on Python knowledge is an added advantage.
- Experience driving improvements using Machine Learning is an additional advantage.
- Candidates should be flexible to work across different time zones.
Supply Chain Planning Knowledge
The role requires a good understanding of key supply chain functions and operations. Candidates should understand basic concepts related to demand, supply, inventory, planning, procurement, manufacturing, logistics, lead times, service levels, and operational performance.
For interview preparation, candidates should understand how different supply chain functions are connected. They should be able to explain how changes in demand, supply constraints, inventory availability, production capacity, or lead times can affect planning decisions.
Supply Chain KPI Analysis
One of the key responsibilities is analyzing Supply Chain Key Performance Indicators and developing actionable plans. Candidates should understand that KPIs are used to measure the effectiveness, efficiency, and reliability of supply chain processes.
Candidates can prepare concepts related to inventory levels, forecast accuracy, order fulfillment, service levels, lead times, supply performance, and other operational measures. The ability to identify patterns in performance data and translate findings into practical improvement actions can be valuable for this role.
Complex Planning Issue Troubleshooting
The Associate Analyst will troubleshoot complex planning issues and propose effective solutions. Candidates should be able to approach problems systematically by understanding the issue, gathering relevant information, analyzing possible causes, validating data, and recommending appropriate corrective actions.
Applicants should prepare examples from academic projects, internships, or previous work where they solved a complex problem using data. They should explain the problem statement, analytical approach, tools used, observations, solution, and measurable outcome.
SQL Skills
Hands-on SQL knowledge is one of the important technical requirements for this position. Candidates should prepare SELECT statements, WHERE conditions, ORDER BY, GROUP BY, aggregate functions, joins, subqueries, Common Table Expressions, CASE expressions, and basic window functions.
Since the role involves analytics and supply chain data, candidates should practice writing SQL queries for business scenarios. Examples can include identifying delayed records, calculating totals, comparing performance across periods, finding duplicate records, combining multiple datasets, and validating analytical outputs.
PL/SQL Knowledge
PL/SQL is also included among the technical skills for this role. Candidates should understand basic PL/SQL concepts such as blocks, variables, conditions, loops, cursors, procedures, functions, and exception handling.
Practical understanding of how SQL and procedural logic can be used together can help candidates prepare for technical discussions. Candidates with relevant academic or project experience should highlight how they used database programming to process, validate, or manage data.
Tableau Skills
Tableau knowledge is relevant for data visualization and analytical reporting. Candidates should understand connecting to data sources, creating worksheets, building dashboards, applying filters, creating calculated fields, and selecting appropriate visualizations.
Candidates should be prepared to discuss Tableau projects during interviews. They should clearly explain the dataset, business problem, data preparation approach, KPIs used, dashboard structure, visualizations selected, and insights generated.
Basic and Advanced Excel Skills
Excel is an important tool for supply chain analysis and reporting. Candidates should be comfortable with formulas, data cleaning, sorting, filtering, conditional formatting, lookup functions, logical functions, PivotTables, PivotCharts, and data validation.
For advanced preparation, candidates can focus on functions used for analysis, handling larger datasets, creating dynamic reports, and automating repetitive analytical tasks. Practical Excel skills can be especially useful for investigating planning issues and preparing quick operational analyses.
Data Analytics Skills
The role includes improving data analytics capabilities and supporting a wider analytics group. Candidates should understand the complete analytical process, including defining a business problem, collecting relevant data, cleaning and validating information, performing analysis, identifying patterns, and communicating findings.
Strong analytical thinking involves more than using technical tools. Candidates should demonstrate the ability to connect analytical findings with supply chain problems and recommend actions that can improve business performance.
Data Governance Knowledge
The selected candidate will identify opportunities to improve data governance. Candidates should understand the importance of accurate, consistent, reliable, secure, and properly managed data within business systems.
Basic preparation can include data ownership, data quality, standard definitions, access management, documentation, validation rules, and consistency across systems. Good data governance helps analytics teams produce reliable reports and supports better decision-making.
Task Automation
The role involves identifying opportunities to automate tasks that support the broader analytics group. Candidates should understand how repetitive data preparation, validation, reporting, or monitoring activities can be streamlined using appropriate tools and scripts.
Applicants with automation experience should highlight projects where they reduced manual work, improved accuracy, saved processing time, or created repeatable analytical workflows. The focus should be on the problem solved and the impact of the automation.
Python as an Added Advantage
Hands-on Python knowledge is mentioned as an added advantage. Candidates with Python experience can highlight projects involving data analysis, automation, data cleaning, file processing, visualization, or Machine Learning.
Relevant preparation can include Python fundamentals and common data analysis concepts. Candidates should be able to explain how they used Python to solve a practical problem rather than mentioning the skill without supporting project experience.
Machine Learning Exposure
Experience in driving improvements using Machine Learning is an additional advantage for this role. Candidates with relevant exposure can highlight projects involving prediction, classification, forecasting, anomaly detection, or other data-driven improvement initiatives.
During technical discussions, candidates should be prepared to explain the business problem, dataset, preprocessing steps, selected approach, evaluation process, and results of their Machine Learning projects.
System Support and Process Monitoring
The Associate Analyst will support users with day-to-day questions and system issues. The role also involves monitoring and maintaining system processes and documenting support procedures.
Candidates should demonstrate patience, structured problem-solving, communication skills, and the ability to investigate issues carefully. Good documentation is important because support processes should be repeatable and understandable to other team members.
Cross-Functional Collaboration
The role requires the ability to drive improvements with cross-functional teams globally. Candidates may need to communicate with analytics teams, system teams, business users, and other stakeholders to understand problems and implement improvements.
Strong communication and presentation skills are important because analytical findings and improvement recommendations should be communicated clearly. Candidates should be able to adapt their communication style when working with technical and non-technical stakeholders.
Ownership and Accountability
Analog Devices expects candidates to demonstrate a high sense of ownership and accountability. This means taking responsibility for assigned tasks, following issues through to resolution, communicating progress, maintaining quality, and proactively identifying improvement opportunities.
Candidates can prepare examples where they independently handled a challenge, coordinated with others, improved a process, resolved an issue, or completed an important project under defined timelines.
Why This Opportunity Is Relevant for Early-Career Candidates
The Analog Devices Associate Analyst role accepts candidates with 0–1 years of relevant experience and provides exposure to supply chain planning, analytics, SQL, PL/SQL, Tableau, Excel, data governance, automation, system support, Python, and Machine Learning.
This opportunity can be relevant for candidates interested in future careers such as Supply Chain Analyst, Business Analyst, Data Analyst, Planning Analyst, Operations Analyst, BI Analyst, Supply Chain Analytics Specialist, or Data Analytics Consultant.
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How to Apply for Analog Devices Associate Analyst Recruitment 2026
Interested and eligible candidates can apply for the Analog Devices Associate Analyst, Supply Chain Planning role through the official careers portal. Before submitting the application, candidates should carefully review the educational qualifications, experience requirements, technical skills, travel expectations, and responsibilities mentioned in the job description.
- Click the Apply Now button provided below.
- Visit the official Analog Devices Associate Analyst application page.
- Read the complete job description, responsibilities, qualifications, and technical skill requirements carefully.
- Create a candidate account or sign in to the careers portal if required.
- Enter accurate personal, educational, professional, and contact information.
- Highlight hands-on knowledge of SQL, PL/SQL, Tableau, Basic Excel, and Advanced Excel.
- Add relevant experience or projects related to supply chain planning, data analytics, business intelligence, or operations analytics.
- Mention experience with data governance, task automation, system support, or process improvement where applicable.
- Add Python and Machine Learning projects or practical experience if applicable.
- Highlight examples of analytical problem-solving, ownership, accountability, and cross-functional collaboration.
- Upload your latest resume, verify all information carefully, and submit the application.
Frequently Asked Questions (FAQs)
1. Who can apply for the Analog Devices Associate Analyst role?
BE and B.Tech graduates with 0–1 years of relevant experience can apply for the Associate Analyst, Supply Chain Planning position. Candidates should have strong analytical, communication, and presentation skills along with hands-on technical knowledge relevant to analytics and supply chain operations.
2. What technical skills are required for the Associate Analyst position?
Candidates should have hands-on knowledge of SQL, PL/SQL, Tableau, Basic Excel, and Advanced Excel. The role also requires analytical ability, understanding of supply chain operations, problem-solving skills, communication skills, and the ability to work with cross-functional teams globally.
3. Are Python and Machine Learning mandatory for this role?
No. Hands-on Python knowledge is mentioned as an added advantage. Experience in driving improvements using Machine Learning is also beneficial, but the core job requirements focus on supply chain understanding, analytical skills, SQL, PL/SQL, Tableau, and Excel.
Conclusion
The Analog Devices Associate Analyst, Supply Chain Planning opportunity is suitable for early-career candidates interested in supply chain analytics, planning, data analysis, process improvement, system support, and business intelligence. The role provides exposure to SQL, PL/SQL, Tableau, Excel, data governance, automation, supply chain KPIs, planning issue resolution, and global cross-functional collaboration.
Candidates should prepare a focused resume highlighting supply chain knowledge, analytical projects, SQL and PL/SQL skills, Tableau dashboards, Advanced Excel experience, process improvement initiatives, and relevant system support exposure. Candidates with Python or Machine Learning projects can also highlight them as additional strengths before applying through the official Analog Devices careers portal.