Senior Data Analytics Engineer
Uniswap Labs
AWSAzureBigQueryCloudETLGoogle Cloud PlatformHadoopMySQLPostgresPythonScalaSpark+2 more
Business Analyst – Data Analytics, Finance, AI
Education at Work
full-time
Posted on:
Origin: • 🇺🇸 United States • Arizona, Illinois, Massachusetts
Visit company websiteSalary
💰 $55,000 - $75,000 per year
Job Level
JuniorMid-Level
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonSQLTableau
About the role
- Support the development, maintenance, and enhancement of complex financial models to support forecasting, budgeting, and strategic planning.
- Conduct sensitivity analysis and scenario planning to assess the impact of various business drivers.
- Evaluate financial performance and identify opportunities for optimization through detailed financial modeling.
- Gather, analyze, and interpret complex financial and operational data to identify trends, patterns, and insights.
- Develop and maintain dashboards and reports to visualize key performance indicators (KPIs) and provide stakeholders with actionable insights.
- Conduct ad-hoc analysis to support strategic decision-making and problem-solving.
- Assist in developing and monitoring financial forecasts and budgets.
- Analyze revenue, expenses, and profitability to identify opportunities for improvement.
- Support financial reporting and compliance activities.
- Explore and evaluate the potential of AI and machine learning to automate processes and enhance decision-making.
- Collaborate with technical teams to define requirements and support the development of AI-powered solutions.
- Identify and evaluate potential AI use cases within the organization.
- Elicit, document, and manage business requirements for data analytics and AI initiatives.
- Communicate effectively with stakeholders at all levels, translating technical concepts into clear and concise language.
- Facilitate workshops and meetings to gather requirements and drive consensus.
- Identify and analyze business processes to identify areas for improvement and optimization.
- Recommend and implement solutions to streamline workflows and enhance efficiency.
- Participate in testing and validating new systems and processes.
Requirements
- Bachelor’s degree in business administration, finance, data science, or a related field, OR master’s degree in business administration, finance, data science, or a related field.
- Preference for 2 years of professional experience in a business analysis or data analytics role.
- A master’s degree can substitute for 2 years of professional experience.
- Strong analytical and problem-solving skills.
- Proficiency in data analysis tools and techniques (e.g., SQL, Excel, Tableau, Power BI).
- Strong understanding of financial principles and practices.
- Strong financial modeling skills.
- Familiarity with AI and machine learning concepts.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
- Experience in the outsourcing or student employment sector is a plus.
- Non-US citizens with 2 - 3 years of work authorization may be considered for this position, but future sponsorship is not guaranteed.
- Preferred: Experience with Python or R for data analysis.
- Preferred: Knowledge of cloud-based data platforms (e.g., AWS, Azure, GCP).
- Preferred: Experience with statistical modeling and forecasting.
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