- Gather and collect data from multiple sources, including databases, spreadsheets, and other data repositories
- Conduct in-depth analysis of after-sales data to identify trends, root causes of issues, and areas for improvement
- Develop and implement data pipelines and automation processes to streamline data collection and processing workflows
- Apply statistical methods and data mining techniques to identify trends, correlations, and insights within the data
- Develop and apply predictive models and other analytical techniques to uncover actionable insights and solve business problems
- Analyze service request data to identify recurring issues and develop strategies to address them proactively
- Create compelling data visualizations and reports to communicate key findings and insights to stakeholders
- Utilize data visualization tools to present complex data in a clear and understandable manner
- Collaborate with cross-functional teams to understand their data requirements and deliver insights-driven solutions
- Act as a trusted advisor to stakeholders, providing data-driven recommendations and insights to support strategic decision-making
- Conduct root cause analysis to identify underlying factors
- Strong analytical skills to effectively analyze large datasets, identify patterns, trends, and anomalies, and derive actionable insights from complex data
- Proficiency in using Microsoft office - Excel's built-in analysis tools
- The ability to prioritize tasks, manage deadlines, and work efficiently is essential for handling multiple projects and delivering insights in a timely manner
- Strong written and verbal communication skills
- Strong problem-solving skills are necessary for identifying root causes of after sales related issues, developing data-driven solutions, and optimizing processes
- To convey expectations, provide feedback, and ensure alignment with organizational goals
- Strategic thinking abilities to develop and implement long-term plans for improving organization and develop plans
- Having a keen eye for detail is essential for ensuring data accuracy, detecting errors, and maintaining data integrity throughout the analysis process
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Economics, or a related field
- At least five years of experience as a Data Analyst or in a similar role, with expertise in data analysis, statistical modeling, and data visualization
- Strong analytical and problem-solving skills, with the ability to translate business requirements into data-driven solutions
- Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
- Health Care Plan (Medical, Dental & Vision)
- Retirement Plan (401k, IRA)
- Life Insurance (Basic, Voluntary & AD&D)
- Paid Time Off (Vacation, Sick & Public Holidays)
- Short Term & Long Term Disability
- Work From Home
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Data Analyst - Bolingbrook, United States - Beko Home Appliances USA
Description
This role responsible for collecting, processing, analyzing, and interpreting large datasets to provide actionable insights and support informed decision-making across the organization. Data analyst will work closely with stakeholders from various departments to understand their data needs and deliver valuable insights that drive business growth and efficiency.
Responsibilities;
Data Collection, Processing and Analyses:
Monday-Wednesday: In-Office
Thursday-Friday: Remote Option
Benefits