Data Analyst - Optomi

Job Description:

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.