Optomi, in partnership with a leading financial services company, is seeking a Data Analyst to join their team.
**This position is hybrid in Rockville, MD 2X a week on-site**
Qualifications:
Bachelor's degree in Data Science, Mathematics, Computer Science, or a related field.
Experience with SQL for querying databases and managing large datasets.
Proficiency in Excel for data manipulation, pivot tables, VLOOKUP, and data visualization.
Familiarity with Python for data processing and analysis.
Understanding of core statistical concepts and methods.
Ability to extract, clean, and transform data using SQL queries.
Strong ability to break down complex data sets and identify trends, patterns, or outliers.
Ability to think critically and solve problems through data-driven approaches.
Ability to present complex findings in a simple and clear way, tailored to different audiences (executives, technical teams, stakeholders).
Ability to write detailed, clear reports that summarize data analysis and recommendations.
Experience working with different teams (marketing, finance, operations, etc.) to understand their data needs and deliver actionable insights.
Responsibilities:
Gather, clean, and preprocess data from various internal and external sources.
Ensure data accuracy, consistency, and completeness through data validation and quality checks.
Analyze large datasets to identify trends, patterns, and key insights.
Perform statistical analysis and modeling to support business objectives.
Create ad-hoc reports as needed by different departments (e.g., Marketing, Sales, Operations).
Present analysis and key metrics to stakeholders, translating complex data into clear and actionable insights.
Work closely with cross-functional teams to understand data requirements and provide actionable insights.
Translate business questions into data-driven solutions and communicate findings in a non-technical manner to executives and non-technical stakeholders.
Automate repetitive tasks and reporting processes to improve efficiency.
Develop scripts or use software tools to streamline data collection and reporting.