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data analyst

Axion

<div>
 Axion Ray&rsquo;s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world&rsquo;s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech &amp; AI stack - including Generative AI and NLP/LLMs - to solve real-world problems.
 
 
 Our team includes experts in Enterprise AI from Palantir, McKinsey &amp; QuantumBlack, and other top tech companies.
 
 
 Since our founding at the onset of 2021, we&rsquo;ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us!
 
 
 
 Position Summary
 
 
 
 We are seeking a detail-oriented, analytical, and curious Data Analyst to join our team. You will be responsible for collecting, processing, and analyzing large datasets to generate actionable insights that help drive strategic business decisions. In addition to traditional analytics tasks, you will also support text and document annotation initiatives, helping generate high-quality labeled data that powers our NLP and LLM-based AI solutions.
 
 
 The ideal candidate has strong analytical skills, is comfortable with complex data models, and can translate data into compelling narratives.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Analyze large, complex datasets to uncover trends and actionable insights using Excel, Google Sheets, SQL and Python.
 </li>
 <li>
 Collaborate with Senior Analysts and Lead Analysts to interpret client data and propose data-driven strategies.
 </li>
 <li>
 Clean, validate, and pre-process client datasets for analysis and modeling.
 </li>
 <li>
 Translate analysis into compelling business narratives and strategic recommendations.
 </li>
 <li>
 Build lightweight scripts and workflows to automate data handling and save time.
 </li>
 <li>
 Continuously improve internal workflows and enhance analytical processes.
 </li>
 <li>
 Collaborate on tool configurations, and enhancements to boost efficiency.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, science, mathematics, or related field.
 </li>
 <li>
 6 months - 2 years of relevant experience working with Analytics/ Manufacturing/ Aerospace/ Automotive/ Medical-Device company and product company or startups.
 </li>
 <ul>
 <li>
 Freshers with a passion for data, analytics, and numerical storytelling are encouraged to apply.
 </li>
 </ul>
 <li>
 Excellent written and verbal communication skills.
 </li>
 <li>
 Experience with data/text annotation for AI/ML models (particularly NLP/LLM-related) is a strong plus.
 </li>
 </ul>
 <ul>
 <li>
 Techstacks/ Tools:
 </li>
 <ul>
 <li>
 Must Have: Excel (G-Sheet) &amp; Python(Pandas), Basic SQL
 </li>
 <li>
 Optional/good to have experience : GIT (Basic knowledge of version control, branching, committing, and collaborating using repositories), ML, LLM and related fields.
 
 </li>
 </ul>
 </ul>
 Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws.
</div>

Data Analyst

KPMG India

<div>
 
 
 About KPMG in India :
 
 
 
 
 
 
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused, and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 
 
 About the Job :
 
 
 
 L
 
 ocation - Gurgaon/Pune/Bangalore
 
 
 
 
 Experience - 6+ Years
 
 
 
 
 
 
 
 Functional Skills
 
 
 <ul>
 <li>
 Determining, creating, and implementing internal process improvements, such as redesigning infrastructure for increased scalability, improving data delivery, and automating manual procedures.
 </li>
 <li>
 Building analytical tools that make use of the data flow and offer a practical understanding of crucial company performance indicators like operational effectiveness and customer acquisition.
 </li>
 <li>
 Helping stakeholders, including the data, design, product, and executive teams, with technical data difficulties.
 </li>
 <li>
 Working on data-related technical challenges while collaborating with stakeholders, including the Executive, Product, Data, and Design teams, to support their data infrastructure needs.
 </li>
 <li>
 Remaining up to date with developments in technology and industry norms can help you to produce higher-quality results.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Analyze large datasets to derive actionable insights and support decision-making processes.
 </li>
 <li>
 Develop and maintain data pipelines using PySpark and other data processing tools.
 </li>
 <li>
 Write efficient SQL queries to extract, transform, and load data from various sources.
 </li>
 <li>
 Implement data models and schemas to organize and optimize data storage and retrieval.
 </li>
 <li>
 Perform data normalization and denormalization to ensure data integrity and accessibility.
 </li>
 <li>
 Collaborate with data engineers to centralize and manage data assets.
 </li>
 <li>
 Ensure data quality through validation and cleansing processes.
 </li>
 <li>
 Utilize CI/CD pipelines to streamline data deployment and maintain continuous integration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 6 years or more Proven experience in data analytics and working with large datasets.
 </li>
 <li>
 Proficiency in Python, including libraries such as Pandas and Numpy for data manipulation.
 </li>
 <li>
 Strong SQL skills for querying and managing databases.
 </li>
 <li>
 Experience with PySpark for large-scale data processing.
 </li>
 <li>
 Basic understanding of Hadoop and its ecosystem.
 </li>
 <li>
 Familiarity with data engineering concepts and best practices.
 </li>
 <li>
 Knowledge of data modeling, including schemas, normalization, and denormalization techniques.
 </li>
 <li>
 Understanding of data centralization, cardinality, and data quality principles.
 </li>
 <li>
 Good to have experience in CI/CD pipelines and tools
 </li>
 </ul>
 
 
 Banking
 
 
 <ul>
 <li>
 Deep understanding of banking operations, financial products, and regulatory frameworks
 </li>
 <li>
 Experience with data modeling, ETL processes, and statistical analysis
 </li>
 <li>
 Prior experience in retail or corporate banking analytics
 </li>
 <li>
 Analyze banking data including customer transactions, loan performance, and financial statements
 </li>
 <li>
 Support credit risk analysis and fraud detection initiatives
 </li>
 <li>
 Maintain and optimize banking databases and data pipelines
 </li>
 </ul>
 
 
 
 
 
 Equal employment opportunity information
 
 
 
 
 
 
 KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
 
 
 
</div>

MakeMyTrip

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Advanced Reporting: Design and maintain complex MIS reports (DWM) using advanced logic, ensuring data translates into actionable business intelligence.
 </li>
 <li>
 Visualization &amp; Storytelling: Create intuitive dashboards and visual representations of data (using Excel or BI tools) to help non-technical stakeholders understand the numbers at a glance.
 </li>
 <li>
 Process Automation: Proactively identify repetitive manual tasks and minimize turnaround time using Macros/VBA or advanced formula logic.
 </li>
 <li>
 Data Integrity &amp; Management: Act as the gatekeeper of data quality, performing deep-dive reconciliation and validation before publishing numbers.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in SQL .
 </li>
 <li>
 Advanced Excel (Pivot tables, charts, formulas, etc.).
 </li>
 <li>
 Experience with BI/Visualization tools (Tableau, Power BI, Looker, etc.).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Ability to work with large datasets and derive actionable insights.
 </li>
 <li>
 Good communication and presentation skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or related field.
 </li>
 <li>
 Experience in MIS reporting, dashboard creation, or business analytics.
 </li>
 <li>
 Knowledge of Python/R (optional but good to have).
 </li>
 </ul>
</div>

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to design, develop and troubleshoot solutions/ designs/ models/ simulations on various softwares as per client&Atilde;&fnof;&Acirc;&cent;&Atilde;&sbquo;&Acirc;&euro;&Atilde;&sbquo;&Acirc;&trade;s/ project requirements
 
 ͏
 
 
 Do
 
 
 
 1. Design and Develop solutions as per client&Atilde;&fnof;&Acirc;&cent;&Atilde;&sbquo;&Acirc;&euro;&Atilde;&sbquo;&Acirc;&trade;s specifications
 
 <ul>
 <li>
 Work on different softwares like CAD, CAE to develop appropriate models as per the project plan/ customer requirements
 </li>
 <li>
 Test&nbsp; the protype and designs produced on the softwares and check all the boundary conditions (impact analysis, stress analysis etc)
 </li>
 <li>
 Produce specifications and determine operational feasibility by integrating software components into a fully functional software system
 </li>
 <li>
 Create a prototype as per the engineering drawings &amp; outline CAD model is prepared
 </li>
 <li>
 Perform failure effect mode analysis (FMEA) for any new requirements received from the client
 </li>
 <li>
 Provide optimized solutions to the client by running simulations in virtual environment
 </li>
 <li>
 Ensure software is updated with latest features to make it cost effective for the client
 </li>
 <li>
 Enhance applications/ solutions by identifying opportunities for improvement, making recommendations and designing and implementing systems
 </li>
 <li>
 Follow industry standard operating procedures for various processes and systems as per the client requirement while modeling a solution on the software
 </li>
 </ul>
 ͏
 
 2. Provide customer support and problem solving from time to time
 
 <ul>
 <li>
 Perform defect fixing raised by the client or software integration team while solving the tickets raised
 </li>
 <li>
 Develop software verification plans and quality assurance procedures for the customer
 </li>
 <li>
 Troubleshoot, debug and upgrade existing systems on time &amp; with minimum latency and maximum efficiency
 </li>
 <li>
 Deploy programs and evaluate user feedback for adequate resolution with customer satisfaction
 </li>
 <li>
 Comply with project plans and industry standards
 </li>
 </ul>
 ͏
 
 3. Ensure reporting &amp; documentation for the client
 
 <ul>
 <li>
 Ensure weekly, monthly status reports for the clients as per requirements
 </li>
 <li>
 Maintain documents and create a repository of all design changes, recommendations etc
 </li>
 <li>
 Maintain time-sheets for the clients
 </li>
 <li>
 Providing written knowledge transfer/ history of the project
 </li>
 </ul>
 ͏
 
 
 Deliver
 
 
 
 No.
 
 
 Performance Parameter
 
 
 Measure
 
 1.Design and develop solutionsAdherence to project plan/ schedule, 100% error free on boarding &amp; implementation, throughput %2.Quality &amp; CSATOn-Time Delivery, minimum corrections, first time right, no major defects post production, 100% compliance of bi-directional traceability matrix, completion of assigned certifications for skill upgradation3.MIS &amp; Reporting100% on time MIS &amp; report generation
 
 &nbsp;
 
 
 
 
 &nbsp;
 
 
 Experience: 3-5 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

DATA ANALYST

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the world&rsquo;s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We&rsquo;re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that&rsquo;s built on trust, care, inclusion, and fun &ndash; where everyone can succeed.
 
 
 Join us to transform the way the world works.
 
 
 
 Job Description
 
 
 
 As a Staff Forecasting &amp; Data Analyst, you will lead the analytical and modeling efforts that inform long-term workforce strategy and investment decisions. This role sits at the intersection of data science, business strategy, and operational planning, blending quantitative rigor with strategic foresight to align the deployment of human and financial resources with the Trust&rsquo;s competitive strategy, efficiency plans, and budget.
 
 
 You&rsquo;ll partner cross-functionally with Operations, Product, Data Science, Finance, and Engineering to design forecasting frameworks that anticipate change&mdash;whether driven by product innovation, policy shifts, or market dynamics&mdash;and translate those insights into actionable workforce strategies.
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Own long-range forecasting models that project volume, capacity, and productivity across Trust lines of business.Maintain quarterly cross-correlation analysis tied to company growth and cross-functional initiatives.
 </li>
 <li>
 Analyze historical and emerging trends in product, policy, and user behavior to anticipate operational impact.
 </li>
 <li>
 Develop strategic scenarios that inform resource allocation, efficiency targets, and workforce investments.
 </li>
 <li>
 Partner with cross-functional leaders to align planning assumptions with business priorities, budget constraints, and growth opportunities.
 </li>
 <li>
 Translate data into strategy: distill complex modeling outcomes into clear, actionable recommendations for executives.
 </li>
 <li>
 Design scalable data infrastructure and forecasting tools in partnership with Data Science and Engineering.
 </li>
 <li>
 Automate data integration and updates in operational systems (e.g., NICE IEX, internal data tables).
 </li>
 <li>
 Monitor guardrail metrics (utilization, forecast accuracy, productivity) to ensure sustainable operational health and early detection of risk.
 </li>
 <li>
 Mentor analysts across the Resource Planning team, uplifting the analytical bar and fostering a culture of strategic thinking and data excellence.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Engineering, Business, Statistics, Operations Management, Economics, or related field.
 </li>
 <li>
 8+ years of experience in forecasting, workforce planning, or predictive analytics within large-scale, global operations.
 </li>
 <li>
 Expertise in forecast modeling techniques (e.g., time-series, regression, scenario simulation) using SQL, Python, R, or similar tools.
 </li>
 <li>
 Background in business fundamentals with the ability to connect data insights to strategic decisions and operational levers.
 </li>
 <li>
 Proven ability to simplify complex systems, identify leading indicators, and communicate implications clearly to executives.
 </li>
 <li>
 Experience collaborating across Product, Finance, Data Science, and Operations organizations.
 </li>
 <li>
 Exceptional communication and storytelling skills with an ability to influence at senior levels.
 </li>
 <li>
 A passion for efficiency, scalability, and sustainable growth.
 </li>
 <li>
 Good communication skills to collaborate with cross-functional teams and present business insights effectively.
 </li>
 <li>
 Detail-oriented and organized, with the ability to handle large datasets and manage multiple priorities and tasks in a fast-paced environment.
 </li>
 <li>
 Ability to challenge incoming requests, value, and impact, driving data-driven decisions.
 </li>
 <li>
 Flexibility and adaptability to respond to changing business needs and priorities.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Strong predictive analytical and strategic thinking skills with experience in long-range forecasting and scenario planning.
 </li>
 <li>
 Ability to translate complex data into clear business insights and executive recommendations.
 </li>
 <li>
 Skilled at identifying trends, risks, and opportunities that inform workforce and investment strategies
 </li>
 <li>
 Proficient in SQL, Excel, and Power BI, Tableau; working knowledge of Python or R for statistical analysis and automation.
 </li>
 <li>
 5+ years of experience in forecasting methodologies (time-series, regression, simulation).
 </li>
 <li>
 Comfortable working with large data sets and partnering with Data Science and Engineering on model design.
 </li>
 <li>
 Excellent communication, influence, and storytelling skills for senior audiences.
 </li>
 <li>
 Passion for simplification, scalability, and continuous improvement.
 </li>
 <li>
 Kafka
 </li>
 <li>
 GitHub Knowledge
 </li>
 <li>
 Experience with workforce management software and tools
 </li>
 <li>
 Knowledge of workforce management principles, operations, and industry best practices.
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Data Analytics &amp; Automation
 </li>
 <li>
 Statistical &amp; Quantitative Analysis
 </li>
 <li>
 Forecasting Modeling &amp; Techniques
 </li>
 <li>
 Communication &amp; Storytelling
 </li>
 <li>
 Decision Support &amp; Problem Solving
 
 
 
 </li>
 </ul>
 You will Benefit from our Culture:
 
 
 We strongly believe in the well-being of our employees and their families. That is why we offer generous health and wellness programs and time away for employees of all levels.
 
 
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Forecasting & Data Analyst

Delta Air Lines

<div>
 
 
 About Delta Tech Hub:
 
 
 
 Delta Air Lines (NYSE: DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.
 
 
 
 
 
 
 About the Delta Technology Hub (DTH), Bangalore
 
 
 
 Delta has fast emerged as a customer-focused, innovation-led, technology-enabled business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a distributed team to create memorable experiences for customers.
 
 
 
 
 
 
 Why join?
 
 
 <ul>
 <li>
 Technology is a key enabler of the differentiated services that Delta provides. At the DTH, you get the opportunity to work on projects with a significant impact on business outcomes and customer experience.
 </li>
 <li>
 Deepen your knowledge by taking part in multifaceted learning and development programs &ndash;exposure to extensive internal and partner repositories, institutional affiliations, and industry SIG (Special Interest Groups) partnerships.
 </li>
 <li>
 Collaborate with research, innovation and IP co-development partners.
 </li>
 <li>
 Immerse yourself in an employee-centric culture.
 </li>
 <li>
 Develop deep and broad intuition for business on airline operations while retaining focus on innovative technology driven solutions.
 </li>
 <li>
 Avail a full range of benefits that support you and your family: Insurance, Commute, Meals, and Special Travel opportunities.
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead and mentor a team of analytics professionals while contributing to technical deliverables.
 </li>
 <li>
 Oversee design and execution of employee listening programs, ensuring alignment with HR strategy.
 </li>
 <li>
 Develop and automate advanced dashboards in Qualtrics and AWS to display engagement metrics and organizational health indicators.
 </li>
 <li>
 Partner with HR leaders to identify trends and recommend strategies for improving employee experience.
 </li>
 <li>
 Ensure data integrity and validate survey health metrics using SQL, Python, AWS and other tools.
 </li>
 <li>
 Communicate insights and recommendations clearly to senior HR leadership and business partners.
 </li>
 </ul>
 
 
 
 
 
 What You Need to Succeed (Minimum Qualifications):
 
 
 <ul>
 <li>
 12+ years of relevant experience, including 5 years of people leadership experience.
 </li>
 <li>
 Bachelor&rsquo;s degree in business, HR, or information systems.
 </li>
 </ul>
 
 
 
 
 
 Technical competencies:
 
 
 <ul>
 <li>
 Proficiency in SQL, Python, AWS, and Qualtrics dashboards.
 </li>
 <li>
 Strong leadership skills with the ability to coach and develop team members.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Ability to balance strategic thinking with hands-on technical execution.
 </li>
 <li>
 Experience in Team Leadership: Managed, mentored, coached and developed teams, fostering a collaborative and creative work environment
 </li>
 <li>
 Experience in Resource Allocation, Capacity Planning &amp; Resource utilization
 </li>
 <li>
 Experience in Performance Management by providing regular performance feedback, recognizing achievements and addressing areas for improvement.
 </li>
 </ul>
 
 
 
 
 
 Behavioral Competencies:
 
 
 <ul>
 <li>
 Ability to champion a collaborative environment by empowering team members, demonstrating resilience, being inclusive and building a culture of trust.
 </li>
 <li>
 Ability to build and sustain robust networks across internal and external collaborators.
 </li>
 <li>
 Being a coach/mentor/advisor to drive continuous team development and growth.
 </li>
 <li>
 Use systemic thinking to drive business results and strategic decisions that enhance organizational outcomes.
 </li>
 <li>
 Ability to advocate for customer-focused innovations, model empathy in decision-making, inspiring others to approach problems from the customer&rsquo;s perspective and decisions that reflect an uncompromising commitment to customer safety, fostering trust and loyalty.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience leading enterprise employee listening programs.
 </li>
 <li>
 Expertise in designing and developing advanced Qualtrics dashboards and workflows.
 </li>
 <li>
 Demonstrated ability to influence HR strategy through data-driven insights.
 </li>
 <li>
 Collaborative approach and passion for improving employee engagement.
 </li>
 </ul>
</div>

Manager - Data Analyst [T500-22172]

Hitachi Energy

<div>
 
 The Opportunity
 
 
 
 The SCM Sustainability Analyst plays a key role in supporting global sustainability initiatives within the supply
 
 
 chain function. This role focuses on data-driven analysis, reporting, and tool management to monitor supplier performance, carbon and circularity metrics, and compliance. The analyst will work across various digital
 
 
 platforms and dashboards to support strategic decision-making and continuous improvement in sustainable supply chain practices.
 
 
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Manage and analyze data from sustainability tools (Carbon &amp; Circularity, Power BI, EcoVadis, Responsible Minerals, etc.).
 </li>
 <li>
 Develop automated reports and dashboards to track SCM sustainability KPIs.
 </li>
 <li>
 Support programs such as GHG assessments, circularity tracking, and supplier compliance.
 </li>
 <li>
 Collaborate with global teams and assist in internal/external sustainability reporting.
 </li>
 <li>
 Identify process improvement opportunities and support rollout of new tools and training.
 </li>
 <li>
 Develop and maintain automated reports and visualizations to support SCM sustainability KPIs.
 </li>
 <li>
 Ensure data accuracy, consistency, and timely updates across platforms.
 </li>
 <li>
 Support implementation of sustainability initiatives such as supplier GHG assessments, circularity tracking and resource efficiency analysis, and smelter engagement through the Responsible Minerals Initiative (RMI).
 </li>
 <li>
 Collaborate with global SCM teams to monitor supplier performance and compliance.
 </li>
 <li>
 Assist in preparing internal and external sustainability reports.
 </li>
 <li>
 Drive process improvements by streamlining data collection and reporting, collaborating with cross-functional teams (SCM, Quality, Sustainability, Legal) to align standards, and supporting the rollout of new tools and dashboards with training and documentation.
 </li>
 <li>
 Responsible for ensuring compliance with applicable external and internal regulations, procedures, and guidelines.
 </li>
 <li>
 Living Hitachi Energy&rsquo;s core values safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
 
 
 </li>
 </ul>
 
 Your Background
 
 
 
 <ul>
 <li>
 Must have bachelor&rsquo;s degree in Sustainability, Supply Chain, Data Analytics, Environmental Science, or related field.
 </li>
 <li>
 Should have 4+ years of experience in sustainability reporting, supply chain analytics, or ESG data management.
 </li>
 <li>
 Experience in data analytics within global organizations, with knowledge of responsible sourcing, carbon accounting, circular economy, scenario modeling, and supply chain compliance systems.
 </li>
 <li>
 Having experience working with tools like PowerBi, Celonis, EcoVadis, and other sustainability platforms is a advantage.
 </li>
 <li>
 Proficiency in Excel, PowerBI, and data integration tools &amp; familiarity with sustainability frameworks (GHG Protocol, RMI, ESG standards).
 </li>
 <li>
 Proficiency in both spoken &amp; written English language is required.
 
 
 </li>
 </ul>
 Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future through innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives.
 
 
 With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time &ndash; balancing soaring electricity demand, while decarbonizing the power system.
 
 
 Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD. We welcome you to apply today.
</div>

Data analyst and reporting Carbon & Circularity

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DATA ANALYST

Staff Forecasting & Data Analyst

Manager - Data Analyst [T500-22172]

Data analyst and reporting Carbon & Circularity