Data Management Analyst

DYVICC Inc. is an IT & engineering high tech consulting company. We are globalized team with high intelligence of most trusted services provided on one platform. We discover client’s ambitious and insights to convert imagination into reality. We believe in the importance of digital world technologies with proving ourselves as to be trustable and most reliable service providers. We resolve the challenges in the online world;

we support to own online space in competitive world. DYVICC Inc. has an opening for a Data Management Analyst at our main office in Hoffman Estates, IL and resource might need to travel to client location as requested by client within U.S.A.

• Organize and lead company wide initiatives to ensure that data quality is maintained so that data can effectively support business processes.
• Oversee analysis and reporting in support of regulatory requirements.
• Identify and recommend analysis of data quality or integrity issues.
• Evaluate data quality metrics and data quality audits to benchmark the state of data quality.
• Adhere to data governance standards and procedures.
• Identify new data sources and develop recommendations for assessing the quality of new data.
• Lead project teams and mentor less experienced staff members.
• Recommend remediation of process or control gaps that align to management strategy.
• Serve as relationship manager for a line of business.
• Consult with and provide recommendations to senior management regarding assessments of the current state of data and metadata quality within area of assigned responsibility.
• Represent client in cross-functional groups to develop company wide data governance strategies.
• Partner with groups and various levels of seniority company wide to coordinate and drive collaboration on solution design and remediation execution.

• Must have had at least 7 + years of working experience working in a data engineering department, preferably as a Data Engineer in a fast-paced environment and complex business setting.
• Must have a demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, column-oriented databases such as MySQL.
• Must have had experience in data warehousing inclusive of dimensional modeling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth.
• Must have demonstrated substantial experience and deep knowledge of data mining techniques, relational, and non-relational databases.
• Communication
  
  Skills:
• Must be capable of conveying information and instructions clearly down the line to the junior team.
• Will have an exceptional ability to convey complex messages in a clear, simplified, and understandable manner.
• MS Office/Software:
• Must be highly proficient in the use of MS Word, MS Excel, PowerPoint, and Outlook, which will all be necessary for the creation of both visually and verbally engaging reports and presentations, for senior leadership.
• Exceptional skills in SQL server reporting services, analysis services, Tableau, integration services, or any other data visualization tools.
• Technological Savvy/Analytical
  
  Skills:
• Demonstrate strong computer skills and a deep passion for analytics.
• Must possess an ability to perform complex data analyses with large data volumes.
• Expert in SQL, Java, and have a keen understanding of data models and data warehouse concepts.
• Strong knowledge in Linux, OS tools, and file-system level troubleshooting.
• Must have substantial experience working with big data infrastructure tools such as Python, SQS, and Redshift.

• Master’s or Bachelor’s degree in Computer Science or…