Data Analyst (Materials Analytics) position at Tiger Analytics Inc..| United States Of America

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Tiger Analytics Inc. Data Analyst (Materials Analytics)

Experience: 8-years

Pattern: Full-time

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Beaverton....United States Of America

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Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner. We're looking for a data evangelist with hands-on SQL experience and a solid understanding of data architecture. You will thrive on empowering others through reporting and analytics, whether building solutions or mapping business processes to data. You will excel at uncovering relationships in complex data environments and simplifying technical concepts for diverse audiences. Overview As a Materials Data Analyst, you will play a pivotal role within the Sustainability and Materials Analytics team. You will deliver actionable data and insights to help optimize the Materials Supply Chain by matching supply with demand more efficiently and effectively. Responsibilities Integrate and embed materials metrics into data products to inform materials development decisions. Partner with data owners and technical teams to expose, cleanse, and shape data for integration into operational decision-making engines and dashboards. Provide ad-hoc reporting and insights to support internal strategy and stakeholder communications. Establish and promote best practices for reporting processes and data management to support effective analytics and forecasting. Deploy reporting and analytics within targeted areas of the business value stream to enable data-driven decisions and drive performance toward annual goals. Implement decision support solutions that operationalize analytical insights for business impact. Collaborate with business partners to translate requirements into actionable knowledge and support data-driven decision-making. Skills Proven ability to sift through data, identify critical information, analyze, and develop solution options Strong quantitative (i.e., statistics, forecasting, simulation—strong knowledge of Excel is a must), data visualization, and communication skills Demonstrated ability to think critically; strong problem-solving skills and analytical mindset Change agent: ability to adapt and be flexible. Ability to manage multiple projects with competing deadlines Able to influence and communicate effectively, both verbally and in writing, with team members and business stakeholders Experience with requirements-gathering and reverse engineering to understand and evolve existing solutions Successful candidates must be able to think strategically and creatively to assess and solve critical high-level problems. Candidates should also be comfortable navigating changes in scope and ambiguity. Ability to communicate complex concepts simply, verbally, and in writing, as well as the ability to document their analysis thoroughly and clearly for diverse audiences Experience in visualization (Tableau would be ideal); ability to create high-quality project reports and simple, succinct, visually compelling presentations Bachelor’s degree in Information Systems, Business, Computer Science, or a related field Familiarity or experience in materials supply chain operations, product creation, materials development, or product development is a plus 5 to 8 years of professional experience in data analytics or a related discipline Advanced proficiency in SQL for data extraction and transformation Strong experience in data wrangling with both structured and unstructured data, using tools such as Python (pandas) Advanced Excel skills for data analysis, modeling, and visualization Demonstrated ability to quickly learn and apply new programming languages, technologies, and frameworks Experience with databases and data processing (e.g., Alteryx, SQL Server, Snowflake, Databricks) Proficiency in data visualization tools such as Tableau or Power BI Familiarity with version control tools and concepts, including GIT

Data Analyst (Materials Analytics) job opportunity at Tiger Analytics Inc..

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