Our direct client, a fast-growing FinTech firm, is looking for a passionate Data Analyst to join their Data Platform team. The ideal candidate will turn data into information, information into insight, and insight into business decisions. Data is the core and central part of the organization. Data driven decisions are very critical, as a result, we are looking for Data Analyst that will be able to use the data and understand it to help make actionable decisions. This individual should quickly grasp complex and fluid business problems and be the bridge between the Data Engineers and Stake Holders.

This position can be based in midtown Manhattan or Princeton, NJ, 3 days per week onsite is expected. Client offers a very attractive compensation and benefits package, salary ($120-150K, DOE), bonus and stock options.

Responsibilities

• Conduct full lifecycle analysis to include requirements, activities, and design.
• Develop analysis and reporting capabilities as well as monitor performance and quality control plans to identify improvements.
• Interpret, analyze, and model the data from various data sources into Data Lakehouse.
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize efficiency and quality.
• Acquire data from primary or secondary data sources and maintain databases and data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and clean data by reviewing and comparing source data and performance indicators to locate and correct code problems.
• Work with management to prioritize business and information needs.
• Locate and define new process improvement opportunities.

Qualifications

• 6 years of experience as a Data Analyst and Business Data Analyst
• Experienced in creating Business Requirement and Technical Design Documentation, in specific to ETL and Data Lakehouse Development
• Extensive SQL experience, such as writing complex queries across multiple tables, data analysis and profiling skills.
• Design efficient data modeling techniques to source data into Data Lakehouse to build strong reporting and data integrations.
• Experienced in suggesting Tactical and Strategic Data Solutions.
• Must have strong verbal and written communication skills to work with stakeholders to gather and formulate business requirements, and then translate to technical documentation
• Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases.
• Familiarity with various database designs (Relational, Columnar, NoSQL)
• Some background in probability/statistics
• Detail-oriented, ability to multitask and work in a fast-paced environment
• Ability to work independently while also being a strong team player
• Passionate about cutting-edge technologies

Preferred Qualifications

• Master s in computer science, data science or related field
• Proven working experience as a Data Analyst or Business Data Analyst
• Technical Expertise regarding data models, database design development, data mining and segmentation techniques
• Strong knowledge of reporting packages (Tableau etc.) and experience with databases (SQL etc.), programming (XML, Javascript, or ETL frameworks)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• Good knowledge of financial markets and financial instruments