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Responsibilities
- Conduct ad-hoc data analysis using Excel, Python, Power BI, Snowflake, SQL and other tools to provide actionable insights to guide business decisions.
- Develop new Power BI reports that articulate complex data in a clear, concise manner.
- Create and maintain scripting routines for data manipulation and automation with Python.
- Prepare findings to non-technical audiences, translating data into strategic insights.
- Create and support tooling for various departments in the business.
- Design, create, and maintain tools for various business departments, enhancing their productivity and capabilities.
- Use data science and AI methods to support problem-solving and develop practical, data-driven solutions.
- Manage multiple data projects concurrently, maintaining flexibility to shift priorities as needed.
- Translate complex data findings into understandable reports and dashboards that inform business strategies.
- Develop in-depth understanding of business needs and leverage data to propose innovative solutions.
- Other duties as assigned – it is understood that this list of major duties and responsibilities is not an inclusive list and that other duties and responsibilities, which may include helping others in the same or different departments, may be assigned by supervision.
- Apply artificial intelligence techniques to address complex business challenges and contribute to strategic decision-making.
- Construct and maintain advanced data models that forecast trends and inform company directives.
- Competence in developing and maintaining Power BI datasets and reports, adept at converting complex datasets into intuitive and impactful visual reports.
- Practical experience with SQL for effective database querying, analysis, and management.
- Proficiency in scripting with Python, especially in the context of data manipulation and automation tasks.
- A strong foundation in data analysis and business intelligence principles with an emphasis on delivering actionable insights.
- Mathematical and analytical skills to accurately collect, measure, organize, and interpret large datasets.
- Proactive identification of risks and opportunities with the ability to communicate these to both technical and non-technical stakeholders.
- Outstanding verbal and written communication skills.
- Highly organized with an innate sense of urgency, able to juggle multiple priorities and meet stringent deadlines without compromising on detail or accuracy.
- A collaborative mindset and willingness to pitch in where needed, recognizing that the role may evolve in line with the company's growth and data strategy.
- Previous experience in a data-centric role within a dynamic business environment is highly beneficial.
Key Skills
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