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Senior Analyst Demand Data Scientist

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Kellanova

Berkeley, IL, US

7 days ago
full-time
degree mentioned

Job highlights

Qualification

Related technical/business experience including hands-on experience in developing analytical solutions, working with real-world data, and solving practical business problems. Proficiency in data analysis, manipulation, and mining is crucial. Bachelor’s Degree in Computer Science, Statistics, Economics, or equivalent training / experience. Strong analytical / conceptual skills. Ability to gather / analyze quantitative and qualitative data, and link business process metrics to key performance indicators (KPIs). An understanding of business context, identifying key metrics, and using them to drive business strategy. This includes communicating effectively with both technical and non-technical team members. Must be able to effectively work with other functions (i.e. demand planning, customer fulfillment) integrating activities across departments, understanding different business functions, and working towards common goals. Prior experience with data analysis and modeling tools (i.e. BW reporting, APO/SNP, CRM, or other SAP applications). Familiarity with other data science tools (i.e. Python, R, SQL) and machine learning libraries. Expertise in Microsoft Excel and data manipulation tools can be beneficial. Ability to travel up to 10% of the time

Responsibility

Your goal is to collaborate with the business to answer questions using data mining techniques. This includes pattern detection, graph analysis and statistical analysis. You will have exposure to an array of analytical tools including: artificial intelligence, machine learning, data mining, Bayesian regression, econometrics, and new and emerging methodologies. You will support senior data scientists in the design of data models to meet analytic, business intelligence, and reporting needs for the broader organization. This includes forecasting models that predict future trends, location models that analyze data from different areas, and innovation models that study new ideas. You’ll also learn to use basic models like linear regression, decision trees, and KNN (k-nearest neighbors). Task Management – This involves handling a variety of tasks, ranging from basic to medium complexity across different functional areas. You will also actively participate in project teams, contributing to the overall project goals and deliverables. Analytical Solutions - Playing a key role in identifying potential analytical solutions, you will address business problems or enhance existing processes. This involves analyzing and understanding commonly used analytical applications / tools and recommending their use where appropriate. Problem Solving - Providing support in modeling and framing business scenarios, you will have a significant impact on critical business processes and decisions. You will formulate alternative problem definitions and explore divergent options for resolution, thereby contributing to effective problem-solving strategies. Information Seeking – You will conduct objective analysis of data and information, prioritizing them based on their source and relevance. This involves systematic monitoring of data and trends to ensure timely management reporting, which will be essential for informed decision-making. Ability to effectively collaborate, communicate and present complex findings in a clear and compelling manner as well as influence stakeholders

Job Description

Description

Unlock the power of data as a Senior Analyst, Demand Data Scientist. Your goal is to collaborate with the business to answer questions using data mining techniques. This includes pattern detection, graph analysis and statistical analysis. You will extract knowledge from a dataset involving data management, data preprocessing, model, and post-processing of found structure. We are looking for top talent in the Chicago, IL, or Battle Creek, MI areas but may be open to individuals in other remote US locations. Embark on a rewarding journey where your skills and expertise make a tangible difference in driving business success and innovation. You will have exposure to an array of analytical tools including: artificial intelligence, machine learning, data mining, Bayesian regression, econometrics, and new and emerging methodologies. You will support senior data scientists in the design of data models to meet analytic, business intelligence, and reporting needs for the broader organization. A Taste of What You’ll Be Doing • Model Development - As a data scientist, you’ll work on creating and improving models. This includes forecasting models that predict future trends, location models that analyze data from different areas, and innovation models that study new ideas. You’ll also learn to use basic models like linear regression, decision trees, and KNN (k-nearest neighbors). • Task Management – This involves handling a variety of tasks, ranging from basic to medium complexity across different functional areas. You will also actively participate in project teams, contributing to the overall project goals and deliverables. • Analytical Solutions - Playing a key role in identifying potential analytical solutions, you will address business problems or enhance existing processes. This involves analyzing and understanding commonly used analytical applications / tools and recommending their use where appropriate. • Problem Solving - Providing support in modeling and framing business scenarios, you will have a significant impact on critical business processes and decisions. You will formulate alternative problem definitions and explore divergent options for resolution, thereby contributing to effective problem-solving strategies. • Information Seeking – You will conduct objective analysis of data and information, prioritizing them based on their source and relevance. This involves systematic monitoring of data and trends to ensure timely management reporting, which will be essential for informed decision-making. We’re Looking for Someone With • Related technical/business experience including hands-on experience in developing analytical solutions, working with real-world data, and solving practical business problems. • Proficiency in data analysis, manipulation, and mining is crucial. Comfortable developing algorithms and applying machine learning/artificial intelligence techniques to extract insights from data and drive decision making. • Bachelor’s Degree in Computer Science, Statistics, Economics, or equivalent training / experience. • Strong analytical / conceptual skills. Ability to gather / analyze quantitative and qualitative data, and link business process metrics to key performance indicators (KPIs). An understanding of business context, identifying key metrics, and using them to drive business strategy. • Ability to effectively collaborate, communicate and present complex findings in a clear and compelling manner as well as influence stakeholders. This includes communicating effectively with both technical and non-technical team members. Must be able to effectively work with other functions (i.e. demand planning, customer fulfillment) integrating activities across departments, understanding different business functions, and working towards common goals. • Prior experience with data analysis and modeling tools (i.e. BW reporting, APO/SNP, CRM, or other SAP applications). Familiarity with other data science tools (i.e. Python, R, SQL) and machine learning libraries. Expertise in Microsoft Excel and data manipulation tools can be beneficial. What’s Next After you apply, your application will be reviewed by a real recruiter, so it may take us a few weeks to get back with you by email or phone. Visit our How We Hire page to get insights into our hiring process and more about what we offer. Need assistance throughout the application or hiring process? Email USA.Recruitment@Kellanova.com. If you join our team, you’ll be rewarded for the difference you make. Our comprehensive benefits offer you the support you need through your life events, big or small. Visit our benefits page & be sure to ask your recruiter for more specific information. Get to Know Us At Kellanova, we are driven by our vision to be the world’s best-performing snacks-led powerhouse, unleashing the full potential of our differentiated brands and our passionate people. Our portfolio of iconic, world-class brands includes Pringles, Cheez-It, Pop-Tarts, MorningStar Farms, Special K, Krave, Zucaritas, Crunchy Nut, among others. Kellanova’s Culture of Best means we bring our best to all that we do in pursuit of our vision to be the world’s best performing snacks-led powerhouse. Our culture celebrates boldness and empowers our people to challenge the status quo, achieve results, and win together. Our focus on Equity, Diversity, and Inclusion (ED&I) enables us to build a culture of belonging where all employees have a place at the table and are inspired to share their passion, talents and ideas to work. The best brands. The best people. The best you. Ability to travel up to 10% of the time. Kellanova is an Equal Opportunity Employer that strives to provide an inclusive work environment, a seat for everyone at the table, and embraces the diverse talent of its people. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, disability, religion, national origin, gender, gender identity, gender expression, marital status, sexual orientation, age, protected veteran status, or any other characteristic protected by law. For more information regarding our efforts to advance Equity, Diversity & Inclusion, please visit our website here.