Permanent opportunity with our product based client.
Our client is a global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do.
Summary :
Experienced Data Science & Analytics professional. Oversees research and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Job Description :
- Supervises the design and support of enterprise-wide business intelligence applications and architecture.
- Develops standards, policies and procedures for the form, structure and attributes of business intelligence tools and systems.
- Defines and executes useful analyses to solve problems. Optimizes the performance of enterprise business intelligence tools by defining data to filter and index that add value to the user.
- Creates testing methodologies and criteria. Supervises the development of data / information quality metrics.
- Research new technologies and develops business cases to support their use.
Minimum Requirements :
Requires advanced to expert knowledge obtained through advanced education, combined with experienceSubstantial knowledge of organization, programs or systems to make enhancements within job areaUniversity Degree or equivalentA total of 12+ years experienceOR
An advanced degree in a related field and a minimum of 5 years experience.Role & Responsibilities :
Partner with Product Managers to understand shared product vision and short & long-term roadmap.Partner with Product Managers, Designers, and Solutions Architects to translate feature requirements, feature designs, and technical architecture into clear, testable, actionable user stories.Work closely with data engineers, data scientists, and BI developers to ensure accurate implementation of analytics solutions.Data Analysis and Reporting :
Analyse large datasets to extract meaningful insights related to stainless steel production, sales, quality, supply chain, or other relevant areas.Develop and maintain dashboards, reports, and data visualizations for management and stakeholders.End to End Proficiency in BI Solution across Ingestion, Transformation, DWH, BI is a mustEnsure data accuracy, integrity, and consistency in all analytical work.SAP Data Understanding : Understand the Analytics needs to business in Demand and Fulfilment area, Finance. Working on Analytics platform to do data analysis using data in SAP ECC / HANA. Utilize your domain knowledge to understand end-to-end SAP Solutions & processes across Manufacturing, Order Management, Finance, cts and suggest improvements.
Data Analytics : Leverage your expertise in data analytics to collect, analyze, and interpret complex data sets related to supply chain operations. Develop insightful reports and presentations to communicate key findings and provide actionable recommendations to stakeholders.Communicate trade-off decisions, e.g. choice between 2 methodologies to product & tech so the decision can be made on approach.Ensure JIRA content is updated so that reporting from JIRA is accurate and representative of the current state of product development & feature delivery progress.Drive the integration of data analytics solutions into business processes, ensuring scalability and reliability.Role Purpose :
A Technical Lead (TL) is a key player in product development, who oversees the technical aspects of the product and acts as a vital link between technical teams and business stakeholders. This role demands a unique blend of technical knowledge and product vision, to ensure that technical products align with business objectives and meet stringent technical requirements. TLs are responsible for translating business needs into technical solutions, guiding development teams, and prioritizing features that deliver high valueRequirements :
Bachelor's degree in business, Computer Science, Data Science, or a related field A master's degree is a plus.Overall experience of 12+ years with Proven leadership experience (8+ years) in data analytics, with a track record of effectively managing and developing high-performing teams.Strong proficiency in data analysis tools and languages (Snowflake, SQL, SAP S4, HANA).Proficiency in data visualization tools (Tableau, Power BI, etc.).Proficiency in AWS Cloud, AWS Athena, Strong in DWH, ETL / ELT Techniques.Strong domain knowledge of supply chain processes, including procurement, logistics, inventory management, and demand planning.Hands-On Working Exposure wrt data analysis using data from SAP Analytics products SAP BW & HANA S4Able to deconstruct and understand the pipelines and flows across SAP BI platforms and SAP ETL TechnologiesProduce Artefacts on the existing Solutions and Processes.Exposure of Working on SAP systems wrt Oder Management, FI.Strong communication and presentation skills, with the ability to effectively convey complex information to both technical and non-technical stakeholders.Experience in working with cross-functional teams and managing stakeholder relationships.Ability to adapt to a fast-paced and dynamic work environment.Benefits :
We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.Have peace of mind and body with our health insuranceMake yourself a priority with flexible schedules and leave PolicyDrive forward your career through professional development opportunities Achieve your personal goals with our Employee Assistance Program.Our commitment to you
Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better.
(ref : hirist.tech)