Business Intelligence Analyst I

• Assist with the curating enterprise BI governance materials.
• Provide technical support as needed within the team and amongst users.
• Manage daily/weekly/monthly analytics reporting to enable the business to operate transparently and efficiently while capitalizing on insights to track revenue and expense and provide.
• Support the preparation of weekly, monthly and quarterly reports for the business, including consolidating KPIs and metrics across our business.
• Help design executive dashboards for data-informed decision making.
• Identify business trends utilizing real-time data, compile analysis reports that are delivered to users and then follow up on results.
• Customize views for commonly queried data sets and other applications for utilization and quick data retrieval.
• Look for trends in reported issues and create long-term solutions vs. short-term fixes.
• Perform Intermediate level data mining and data modeling by combining multiple data sources from various systems and databases using BI tools.
• Manage and execute small analytics projects and project tasks.
• End to end execution of metric and dashboard creation.
• Must be comfortable working with large amounts of data.
• Ability to work individually and in a team-oriented, collaborative environment.
• Strong skills in Microsoft Office programs.
• Strong verbal and written communication skills.
• Ability to work on multiple projects simultaneously and translate data into digestible information to improve corporate processes.
• Write SQL queries and stored procedures for reports and dashboard development.
• Proficiency SQL (DML, DDL, DCL, commands), Dashboards and Business Intelligence Tools(Tableau, Power BI, etc) and Excel (pivot tables, charts, advanced formulas, data imports, etc.).
• Understanding of relational databases and familiarity with statistics.
• Understanding of Financial data and KPIs to help provide reports to drive answers.
• Ability to communicate effectively with both business and technical teams.
• Inquisitive mindset, with exceptional problem-solving ability along with a passion for big data.
• Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment.
• Experience running projects to analyze business issues or challenges.

Education:

• Bachelor's degree in Business, IT, Applied Statistics, Data Science, Data Analytics or related field required.
• Master's degree in Business Administration, Data Science or Data Analytics preferred.

• At least three years relevant work experience in Data Science, Business Analytics, Finance, Business Intelligence (BI), or a comparable position handling large, complex data required.

• Problem solving — identifies and resolves problems in a timely manner and gathers and analyses information skillfully.
• Planning/organizing —prioritizes and plans work activities, uses time efficiently and develops realistic action plans.
• Ability to Adapt –adapt quickly to changes in scope or direction and be flexible to adopting changes quickly.
• Excellent communication and interpersonal skills with ability to communicate and present to all levels of the organization, on the topics of technology, tools, and processes.
• Ability to deal effectively with diverse roles, backgrounds, and expectations.
• Project management skills including coordination, communication and adherence to budget and completion goals, prioritization, and troubleshooting.
• Flexible and adaptable; able to work in ambiguous situations.