Data Analyst (Onsite Richmond, USA)

Responsibilities:

• Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms
• Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers
• Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Business Intelligence:

• Partner with the business to provide consultancy and translate the business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization
• Drive analysis that provides meaningful insights on business strategies
• Develop and manage data tools and solutions that provide value
• Provide information and data insights that support business operations and decisions
• Act as a consultant to customers to pair their business problems with your expertise on what is possible with data
• Create and maintain documentation including requirements, validation, and design
• Identify development and data needs in order to improve and streamline decision making

Data Management:

• Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions
• Work collaboratively with appropriate Tech teams to manage security mechanisms and data access governance
• Build and execute tools to monitor and report on data quality

Work Experience:

• Advanced SQL and/or Python working knowledge
• Experience working with structured and unstructured databases
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• A successful history of manipulating, processing, and extracting value from large disconnected datasets
• Experience with full-stack JavaScript development and frameworks
• Experience with business intelligence tools E.g. Qlik, Tableau, ETL, etc.

Skill Sets:

• Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)
• Experience utilizing and developing within AWS services
• Data Analytics experience
• experience utilizing a business intelligence visualization tool
• experience in querying and analyzing and working with data languages and platforms
• Strong experience coding in Python, R, Spark, or SQL
• Strong analytical and problem-solving skills
• Ability to contribute both independently and as part of a team
• Strong listening, communication, interpersonal and presentation skills
• Able to work in diverse teams, under tight deadlines, to deliver quality work for customers
• Commitment to delivering excellent customer service
• A drive to learn and master new technologies and techniques

Interview process:

1. Screening round
2. Technical round
3. HR round