Data Quality Analyst (Business side)
Client - Bank
C2C Rate: $ 55/hr C2C (All inclusive)
Client: Financial Services / Banking
Location: Hybrid / on-site 2 days a week in Auburn Hills, MI or Frisco, TX. Must be local (out of pocket from day 1).
No exceptions. HEAVY preference to locals in this group. NO West Coast candidates (PST) will be considered.
Duration: 9/30/24, will extend out long term
Interviews: Video
They had selected a candidate and there was a back out.
Update
- We are looking for someone who can collaborate with business stakeholders to understand opportunities for data quality improvement as well as document information used to remediate identified data issues.
- Must have the ability to understand both business and technical processes involved in managing data.
- Must have recent business side Data Quality and Data Quality Analysis experience in banking/financial services domain.
The Data Quality Analyst will
support the definition of data quality standards, requirements, and specifications for data quality controls in the data lifecycle. They will also
provide support for operational processes that measure, monitor and report on data quality levels as well as the remediation of identified data quality issues.
The person will meet with various stakeholders to gather and document information, perform data analysis, and conduct assessments of business and technical processes involved in managing data.
Responsibilities
Data Quality Remediation Collaborate with internal stakeholders to gather information and document identified data quality issues. Perform root cause analysis of identified data quality issues. Collaborate with cross-functional teams to support development and implementation of remediation plans to promptly resolve identified data quality issues.
Data Quality Measurement, Monitoring and Reporting Processes Define and develop data quality metrics based upon data quality standards. Support the development of automated data quality reports and dashboards. In partnership with Data Stewards, monitor data quality levels and respond to alerts when data quality metrics for critical data elements are outside the acceptable data quality thresholds.
Data Quality Management Framework Collaborate with business stakeholders to identify business needs and opportunities for data quality improvement, including identifying data critical to meeting business needs. Perform an assessment of the data to understand data content and relationships and comparing actual data to rules and expectation. Develop standards and templates for documenting data quality rules so they have a consistent format and meaning.
Experience
5 years’ experience in data and/or information asset quality management
3 years experience managing data quality monitoring and remediation processes
Proficiency in data profiling, statistical analysis, data analysis, and data standardization / cleansing techniques
Experience using statistical techniques to discover the root cause of data quality issues and recommend remediation options
Strong SQL skills with the ability to write sophisticated queriers across large, complex data sets
Ability to analyze data trends, identify patterns and proactively address potential data quality issues
Proficient in documenting data quality issues and remediation plans in a clear and concise manner
Collibra, Informatica, Snowflake, Phone, R are nice to haves (but not too technical for this one)
Skills
Problem solving Issue resolution Decision-making Able to synthesize information leading to recommendations of solutions Communication across all levels – written and verbal Attention to detail with ability to align with the big picture Multi-tasking Influencing others Challenging professionally Relationship management
