Data Analyst
1 month ago
As a Data Analyst at Omni Inclusive, you will play a key role in creating financial models and advanced analysis for budgeting and forecasting of our compensation investments. You will be responsible for helping to create data-driven insights that inform business decisions and drive growth.
Key Responsibilities:
Create financial models and advanced analysis for budgeting and forecasting of compensation investments
Develop and maintain data visualizations and reports to communicate complex data insights to stakeholders
Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
Stay up-to-date with industry trends and best practices in data analysis and visualization
Requirements:
Bachelor's degree in Finance, Mathematics, Economics, Business, or equivalent work experience
Strong analytical experience (2-5 years experience in building financial models in Excel or Google Sheets. Tableau, SQL experience is a plus)
Experience working with large sets of structured and unstructured data to draw trends and insights, use data visualization to present complex matters in an easy manner
Detail orientation while not losing track of big picture, data cleanliness/integrity (must be a data maestro)
Ability to build strong partnerships and confidence to communicate complex topics with ease effectively
Self-starter, with strong ability to work with minimal direction, build and execute effective project plans
Sense of urgency and time management
Strong work ethic and team-first attitude
Nice to have: Understanding of Compensation foundations; Experience with Workday/ RedCat, Radford Market Data, Payfactors (or other similar tool)
What We Offer:
Competitive salary and benefits package
Opportunity to work with a dynamic and growing company
Collaborative and supportive work environment
Professional development and growth opportunities
Recognition and rewards for outstanding performance
How to Apply:
If you are a motivated and detail-oriented individual with a passion for data analysis and business insights, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you
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