Field Sales and Operations Analyst

October 17

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Allegion

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Allegion specializes in security around the doorway and beyond: Everything from residential and commercial locks, door closers and exit devices, steel doors and frames, to access control and workforce productivity systems.

10,000+

💰 Post-IPO Debt on 2022-06

Description

• Data Analysis: Proficiency in analyzing large datasets, identifying patterns, and drawing meaningful insights from data. • Statistical Analysis: Knowledge of statistical methods and techniques to interpret data, perform hypothesis testing, and make data-driven decisions. • Data Visualization: Ability to present complex data in a visually appealing and understandable manner using tools like Tableau, Power BI, or Python libraries like Matplotlib and Seaborn. • SQL and Database Management: Proficiency in writing SQL queries to extract, manipulate, and analyze data from relational databases. • Programming: Familiarity with programming languages such as Python or R for data manipulation, analysis, and automation tasks. • Data Cleaning and Preprocessing: Skills in cleaning and preprocessing data to ensure accuracy, consistency, and reliability for analysis. • Problem-Solving: Strong analytical and problem-solving skills to identify data-related issues, develop solutions, and optimize processes. • Review of existing reoccurring reporting package, optimize and consolidate redundancies, establish new reporting packages and cadence. • Provide ad hoc analysis for key initiatives • Data Mining and Machine Learning: Knowledge of data mining techniques and machine learning algorithms to uncover patterns, build predictive models, and perform data-driven forecasting. • Communication and Presentation: Excellent communication skills to effectively convey complex data analysis findings to both technical and non-technical stakeholders. • Attention to Detail: Strong attention to detail to ensure accuracy in data analysis and reporting. • Time Management: Ability to prioritize tasks, manage deadlines, and work efficiently in a fast-paced environment. • Collaboration: Capability to collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to achieve common goals. • Continuous Learning: Willingness to stay updated with the latest tools, techniques, and trends in data analysis and data science.

Requirements

• Bachelor's degree • 3-5 Years of experience in data analytics reporting & forecasting. • Proficiency in Microsoft Excel, PowerBI and other MS Office applications. • Experience with SAP and D365 • Strong analytical skills and attention to detail. • Excellent communication and collaboration abilities.

Benefits

• Health, dental and vision insurance coverage, helping you “be safe, be healthy ”. • A commitment to your future with a 401K plan, offering a 6% company match and no vesting period • Tuition Reimbursement • Unlimited PTO • Employee Discounts through Perks at Work • Community involvement and opportunities to give back so you can “serve others, not yourself” • Opportunities to leverage your unique strengths through CliftonStrengths testing and coaching