Collect, cleanse, and structure large data sets to find usable information
Work with a team of analysts, engineers, and other associates to process information
Work with executives and other business leaders to identify opportunities for improvement
Create reports for internal teams and/or external clients
Collaborate with team members to collect and analyze data
Establish KPIs to measure the effectiveness of business decisions
Use graphs, dashboards, and other methods to visualize data
Create presentations and reports based on recommendations and findings
Share best practices for analytics with others
Approach all interactions with a positive attitude
Requirements & Skills:
2-3 years of experience in data analysis, data engineering, data management, statistics, and/or related field
Functional subject matter expertise in data management and in building and implementing effective data products in large and matrixed organizations
Experience across the entire data value chain – including data warehouses, data lakes, big data, ELT, data modeling, database administration, security, user interface, reporting & analysis, etc.
Experience collecting, cleansing, profiling, and modeling data
Experience with data pipelines using cloud-based tools
Experience creating reports and dashboards
Experience creating data specifications and data standards
Background of improving user experience by interpreting data and automating decision making
Ability to independently perform work with minimal supervision and direction and execute requirements to meet the needs of business stakeholders
Ability to influence at all levels of the organization, including executive management, auditors, employees, customers, and vendors
Ability to deal well with ambiguity and complex situations
Strong independent judgment, discretion, critical and analytical thinking, and problem-solving skills required
Excellent communication and time management skills
Bachelor’s degree (B.A./B.S.) in Computer Science, Engineering, Statistics, Finance, or a related field
