Data Analytics Specialist
1 week ago
We are seeking a highly skilled Data Analytics Specialist to join our team at Wintrax Logistics Inc.
About the RoleThis is a challenging and rewarding opportunity for a talented individual to work with our clients and internal stakeholders to drive business growth through data-driven insights.
Key Responsibilities- Develop and Implement Predictive Models: Design and build predictive models to forecast business outcomes and identify areas for improvement.
- Collaborate with Clients: Work closely with clients to understand their business needs and develop tailored solutions to meet their objectives.
- Conduct Data Science Tasks: Perform advanced data analysis, data mining, and data visualization to extract insights from large datasets.
- Design Data Collection and Processing Methods: Develop and implement data collection and processing methods to ensure high-quality data is available for analysis.
- Develop Data Mapping Techniques: Create data mapping techniques to identify relationships between data sets and develop actionable insights.
- Generate Reports through Queries and Logic: Develop reports and dashboards to communicate insights and recommendations to stakeholders.
- Analyze Large Datasets for Trends and Patterns: Use statistical and machine learning techniques to identify trends and patterns in large datasets.
- Document Technical Requirements for Business Alignment: Develop technical documentation to ensure business stakeholders understand the technical requirements for data-driven initiatives.
- Extract Insights from Unstructured Data Sets: Use natural language processing and machine learning techniques to extract insights from unstructured data sets.
- Recommend Automated Anomaly Detection Systems: Develop and implement automated anomaly detection systems to identify and mitigate potential issues.
- Visualize Technical Information for Easy Understanding: Develop clear and concise visualizations to communicate technical information to non-technical stakeholders.
- Utilize Ensemble Modeling for Better Predictions: Use ensemble modeling techniques to improve the accuracy of predictive models.Requirements
- Proficiency in SQL, MS Office, and MS Excel: Strong proficiency in SQL, MS Office, and MS Excel is required.
- Independent Work in a Fast-Paced Setting: Ability to work independently in a fast-paced setting with minimal supervision.
- Attention to Detail: Strong attention to detail and ability to ensure high-quality work products.
- Accurate and Client-Focused: Accurate and client-focused with a strong commitment to delivering high-quality results.
- Strong Interpersonal and Communication Skills: Strong interpersonal and communication skills to work effectively with clients and internal stakeholders.
- Proactive and Organized: Proactive and organized with a strong ability to prioritize tasks and manage multiple projects simultaneously.
- Team Player and Adaptable: Ability to work effectively in a team environment and adapt to changing priorities and deadlines.Additional Benefits
- Free Parking Available: Free parking available for employees.
- Permanent Position: Permanent position with opportunities for career growth and development.
- English Language Requirement: English language proficiency is required for this role.
- 30-Hour Work Week: 30-hour work week with flexible scheduling to accommodate individual needs.
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