Job Description :
Client: Infosys
Rate: $55/hr on C2C all incl
new position 09/26 - rk_dqa_in_nj
Data Quality Analyst
Moorestown, NJ
Long Term
Contract
Phone/Webcam
Job Description:
Client is expanding an enterprise Business Intelligence team, including advanced analytics across multiple large data sets. The role of the Data Quality Analyst is to ensure the quality and completeness of data across various business systems as they are managed in our enterprise systems. This position will be responsible for creating requirements for data quality checks, validating results and triaging the issues, creating dashboards and scorecards for monitoring operational metrics, and supporting other operational functions. This is an analytical and technical role. The pace is challenging but realistic.
Experience Required:
- Ability to write moderately complex SQL queries, PL/SQL a plus
- Knowledge of account, device, service, operations and marketing domains
- Exposure to the following a plus: Hortonworks, Hadoop, Teradata
- Exposure to the following a plus: Informatica, Tableau, Metric Insights
Main responsibilities will be:
* Data Profiling Profile files and databases, identify business rules and requirements for ingestion and processing of data
* Apply Analytical insights to the data, and perform time trending analytic reports
* Calculate various dimensions on data like Standard Deviation, Percentile calculations, Moving Averages to identify pattern of data
* Identify and define validation and monitoring logic to ensure that data anomalies are detected and contained within thresholds
* Identify patterns, trends and inconsistencies; draw conclusions and provide recommendations in the form of remediation, corrective (CARs) and preventative (PAR) actions.
* Stakeholder Engagement capture business rules and filtering unique to data use and business decision making
* Technical Writing requirements, event summaries and recommendations (etc
* Process Modelling
Knowledge and Skills needed:
- Knowledge of tools to query and manipulate data in varying file formats
- Knowledge of referential and large data formats and file structures
- Ability to apply the principles of data quality standards
- Knowledge of databases, included big data technologies
- Knowledge of programming and software development lifecycle (SDLC)
- Exposure to agile development methodology
- Convey complex technical issues/problems to programmers in a clear/concise manner
- Ability to convey complex concepts to business stakeholders in terms relevant to the business
- Excellent written and verbal communications skills
- Excellent data analysis skill and understanding of Statistical measures
- Organized, structured, methodical
- Analytical with strong problem solving ability
- Strong prioritization and time management skills
- Ability to design and implement operational metrics:
-Scorecards
-Dashboards
-Thresholds