Senior Data Engineer

Key Skills

Apache Hadoop, Apache Hive, Apache Pig, Linux Operating system, Project management, Python Programming, R Programming, SAS, SQL, Tableau, Unix Operating system

Job Description

Data Analyst

The Senior Data Analyst will use their analytic and technical skills to drive insights into consumer behavior and core Equifax processes by designing, developing and improving core data quality through big data, analytics and business intelligence tools and platforms. They will work with internal business and technology groups to design complex ad hoc and prototype analyses using business data assets. This is an exciting opportunity to use in-depth data analysis to empower innovation and create new revenue.

Job Responsibilities:

• Data Quality Management
• Utilize data handling/profiling/mining tools to support a proactive data quality monitoring program focusing on business intelligence and analytics applications
• Collaborate with Business Analysts to develop and test business rules for the correct handling and usage of data, including developing metrics and reports
• Present reports to all levels of management to summarize analytic projects, data quality and usage metrics, and data integration intelligence
• Execute ad hoc data analyses in response to business requests
• Lead design and execution of complex projects and proofs of concept combining currently available data with new data sources
• Independently carry out validations and analysis projects
• Evaluate new analytic tools and techniques and mentor team members in their use
• Review end-to-end deliverables of analytical solutions to ensure proper use and quality results
• Create detailed documentation outlining design and technical specifications
• Participate in collaborative software and system design and development for new platforms, products and services
• Customer Value Creation
• Understand internal and external customer business needs and translate them into project design and data-driven insight
• Work with the analytics team on the formation of new analytic solutions
• Communicate and consult with sales and product management on technical and non-technical issues
• Explore and evaluate new concepts, technologies and industry trends related to data analytics and data supply chain management

Skills/Experience:

• Bachelor’s degree in a technical or quantitative field like information management, statistics, engineering, mathematics, operations research or related field; M.S. or PhD. a plus
• Strong aptitude and proven ability to develop data-driven solutions to meet business objectives
• Experience or aptitude to mentor and lead a team of more junior analysts
• Extensive analytic programming and automation skills such as SAS, R or SQL. Scripting experience with Python or similar a plus.
• Experience deriving insight from large amounts (terabytes) of diverse customer data using analytical and visual techniques
• 5+ years experience with BI tools like Spotfire or Tableau with the ability to design and architect underlying infrastructure supported by Big Data ecosystems
• 5+ years experience with Big Data ecosystem (e.g., Hadoop, Greenplum, Hive/Pig) and/or distributed computing
• 5+ years experience with data handling/quality tools
• Experience operating in a Unix/Linux environment
• 7+ years of data management and analysis experience in the credit risk, telecommunications, financial services, marketing, fraud is a plus
• Strong analytical skills as evidenced by quantitatively and qualitatively analyzing product concepts, strategic opportunities and competitive threats
• Excellent verbal and written communication skills presenting complex analytical results to technical and non-technical audiences
• Comfort multi-tasking in a fast paced environment and energized by change and new opportunities, while disciplined in engineering practices and thinking
• Works and leads effectively in a cross-functional efforts; develops effective working relationships with peers, managers, and senior management within and across organizational lines
• Excellent organizational and project management skills and focuses on the highest priorities first.

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