Position: Data Analytics Specialist
Job Summary:
We are seeking a highly skilled and detail-oriented Data Analyst to join our team. As a Data Analyst, you will executes a variety of activities for a commercial segment and/or team. These may include but are not limited to sales forecasting and reporting, product launches, product design changes, customer problem resolution, warranty support, presentation preparation, and customer relationship management.
Responsibilities:
1. Collect, clean, and analyze large volumes of data from various sources, ensuring data accuracy and integrity.
2. Develop and maintain databases, data models, and data transformation processes to facilitate data analysis and reporting.
3. Identify and interpret trends or patterns in complex data sets, producing actionable insights to support strategic decision-making.
4. Prepare and present data findings and recommendations to internal stakeholders, including senior management, in a clear and concise manner.
5. Collaborate with cross-functional teams to define data requirements, develop key performance indicators (KPIs), and track data trends over time.
6. Conduct statistical analysis and predictive modeling to identify potential risks, opportunities, or patterns.
7. Utilize data visualization tools to create intuitive dashboards and reports for internal teams.
8. Stay up to date with industry trends and best practices in data analytics, recommending and implementing new methodologies or technologies as appropriate.
Qualifications:
1. Bachelor's degree in Mathematics, Statistics, Computer Science, Economics, or a related field. Master's degree preferred.
2. Proven work experience as a Data Analyst or similar role.
3. Proficient in SQL and experience with relational databases (e.g., MySQL, Oracle, SQL Server) for data extraction and manipulation.
4. Strong understanding of statistical methods and their application, including hypothesis testing, regression analysis, and predictive modeling.
5. Proficient in data visualization and reporting tools such as Tableau, Power BI, or similar.
6. Excellent analytical and problem-solving skills with a keen eye for detail.
7. Strong written and verbal communication skills with the ability to effectively present complex data findings to both technical and non-technical audiences.
8. Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
9. Strong organizational and time management skills, with the ability to prioritize multiple tasks and meet deadlines.
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