Position
Data Analyst
Company
Sidel
Location
Pune, India
Job Type
Full-time and Permanent
Job Mode
On-site
Job Requisition ID
Not mentioned in the original JD
Years of Experience
Relevant internship experience and upto 3 years of total experience
Company Description
Sidel stands globally recognized as an elite, pioneering provider of comprehensive equipment, machinery, and service solutions tailored specifically for packaging liquid food, beverages, home care, and personal care goods.
The organization specializes in designing and manufacturing advanced systems utilizing PET, aluminum cans, glass bottles, and a wide array of alternative sustainable packaging materials.
With an impressive legacy spanning nearly 170 years of proven industrial excellence, Sidel has successfully installed over 40,000 machines across more than 190 countries worldwide.
The corporate vision heavily emphasizes building the factory of tomorrow through cutting-edge automation, sophisticated line engineering, continuous technological innovation, and smart manufacturing ecosystems.
A robust global workforce consisting of over 5,500 dedicated, passionate employees drives the company's mission to consistently fulfill evolving customer expectations and maximize operational performance.
Sidel maintains an unwavering commitment to flexibility, ensuring deep insights into customer challenges, market shifts, production environments, and complex supply chain dynamics.
Sustainability remains a foundational pillar of the corporate strategy, guiding the development of eco-friendly packaging lines and energy-efficient machinery that reduce environmental footprints.
The company bridges deep technical engineering knowledge with modern smart data analytics, ensuring that industrial machinery achieves its maximum lifetime productivity and reliability potential.
Operating under the guiding philosophy of Performance through Understanding, Sidel fosters collaborative dialogues with global partners to deliver tailored, high-performance manufacturing solutions.
The corporate culture values continuous learning, cross-functional teamwork, technological curiosity, and data-driven problem solving across all global engineering and analytics hubs.
Profile Overview
Join Sidel’s dynamic Advanced Data Analytics team as an Advanced Data Analyst to spearhead initiatives that transform complex raw data streams into high-impact, real-world operational results.
Drive data-driven excellence by applying advanced analytical techniques, deep data mining methodologies, and sophisticated statistical modeling to uncover hidden patterns within massive enterprise datasets.
Translate intricate technical data structures into clear, meaningful, and actionable business insights that empower cross-functional teams and executive stakeholders to make confident strategic decisions.
Collaborate closely with diverse engineering, production, and business intelligence experts to design, build, and optimize robust analytical workflows and comprehensive automated reporting pipelines.
Serve as a core technical driver of advanced data visualization by leveraging platforms such as Microsoft Power BI to transform dense datasets into intuitive, visually compelling dashboards.
Ensure that generated visual insights act as vital catalysts for business intelligence, directly influencing operational efficiency, line performance optimization, and long-term strategic planning.
Apply rigorous analytical thinking and scientific problem-solving frameworks to address complex manufacturing challenges, streamline production workflows, and predict equipment maintenance needs.
Support enterprise-wide data governance initiatives by maintaining high standards of data integrity, validation accuracy, and documentation discipline across all analytics projects.
Engage in continuous exploration of emerging data science trends, machine learning applications, and advanced visualization techniques to maintain Sidel's competitive edge in smart manufacturing.
Act as a bridge between technical data engineering teams and business stakeholders, translating ambiguous business requirements into well-defined, measurable analytical deliverables.
Qualifications
Hold a Master’s degree, or an equivalent advanced academic qualification, in Information Technology, Computer Science, Data Science, Engineering, or a closely related technical field.
Demonstrate proven, hands-on experience in modern data analysis, statistical modeling, exploratory data mining, and translating quantitative findings into strategic business decisions.
Exhibit advanced proficiency in core programming languages, specifically Python, with a strong capability to write clean, efficient, and scalable code for data manipulation and analysis.
Possess deep expertise in database querying and management using SQL, including the ability to write complex queries, optimize database performance, and extract multi-source data.
Show advanced competence in designing and deploying interactive business intelligence dashboards and data visualizations using Power BI or comparable industry-standard enterprise visualization tools.
Display a solid understanding of statistical principles, hypothesis testing, regression analysis, and predictive modeling techniques to evaluate operational hypotheses and validate findings.
Exhibit exceptional problem-solving capabilities, with a proven track record of breaking down ambiguous, large-scale datasets into structured, logical components for actionable problem-solving.
Demonstrate strong interpersonal and communication skills, enabling the effective presentation of complex technical insights to non-technical stakeholders and executive leadership teams.
Possess a collaborative mindset with a demonstrated ability to thrive within multidisciplinary, cross-functional project teams operating in fast-paced global corporate environments.
Show eagerness to learn domain-specific manufacturing metrics, equipment telemetry data, and industrial Internet of Things (IoT) data streams to add context to analytical models.
Additional Info
Benefit from working within a stable, permanent, full-time employment structure at a leading multinational manufacturing enterprise with excellent career progression pathways.
Enjoy regular opportunities for professional development, continuous learning, and technical upskilling through internal training programs, workshops, and global collaboration channels.
Work from the vibrant Sidel office location in Pune, Maharashtra, engaging daily with a diverse team of international engineering and data analytics professionals.
Contribute directly to sustainability initiatives and next-generation factory transformations that impact global packaging supply chains and reduce environmental waste.
Access internal mentorship programs designed to help entry-level professionals transition smoothly into high-impact data analytics and data science career tracks.
Participate in regular team-building events, innovation hackathons, and technical knowledge-sharing sessions organized across Sidel's global technology hubs.
Receive competitive compensation packages, comprehensive employee benefits, and wellness programs designed to support work-life balance and overall job satisfaction.
Experience a culture that champions diversity, inclusion, open dialogue, and employee empowerment across all levels of the organizational hierarchy.
Engage with state-of-the-art technological infrastructure, modern cloud platforms, and extensive industrial data repositories from day one of employment.
Take full ownership of analytical projects from conceptualization to deployment, ensuring visible recognition and measurable business impact across global operations.
Please click here to apply.
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