Data Quality Analyst
Data Quality Analyst
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Job Description
Short term objectives
We know the importance data validation can play in creating better reporting for our business we have identified areas we want you to make an impact within the first 3 months.
Push 40% of partners through the ingestion validation process
Push 40% of partners through the mapping validation process
Data Team Culture
Our team requires four areas of focus from every team member (see below). We use these focus areas to guide our decision making and career growth. To give you an idea of these requirements the top three from each area are:
Mastery:
Demonstrate skills expertise in relevant tool (e.g. GA Tableau) or code language (e.g. SQL)
Think about the wider impact & value of decisions
Understand and anticipate the need for scalability stability and security
Communication:
Provide clear actionable feedback from peer reviews
Communicate effectively to wider teams and stakeholders
Proactively share knowledge everyday
Ownership:
Lead complex initiatives that drive challenging goals
Create and push forward cross cutting concerns between teams
Demonstrate consistently sound judgement
Behaviours:
Challenge yourself and others through questioning assessing business benefits and understanding cost of delay
Own your workload and decisions show leadership to others
Innovate to find new solutions or improve existing ways of working push yourself to learn everyday
Responsibilities:
Reports directly to Senior Business Analyst and works closely with Data & Revenue Operations functions to support key deliverables
Reconciliation of affiliate network revenue by vertical and publisher brand at monthly level
Where discrepancies exist investigation by to isolate whether specific days products providers or commission values
Validate new tickets going on to the Data Engineering JIRA board to ensure requests going into Data Engineering are complete accurate and as descriptive as possible
Investigation results to be updated into JIRA tickets and all outputs saved in mapping google sheet
Use Postman API Webhooks to pull revenue data from partner portals and verify against partner portals and BQ
Monitor API failures rate limits and response inconsistencies impacting revenue ingestion.
As necessary seek revenue clarifications from the verticals RevOps team member
As necessary clarify JIRA commentary for data engineers
Understand requirements goals priorities and communicate to the stakeholders on progress towards data goals
Ability to ensure outputs are on time and on target
Qualifications :
At least two (2) years of data quality analysis experience
A strong understanding of SQL and how it can be used to validate data (experience with BigQuery is a plus)
An understanding of large relational databases and how to navigate these datasets to find the data required
Ability to communicate data to nontechnical audiences through the use of reports and visualisations
Strong interpersonal and communication skills
Comfortable working remotely and collaboratively with teammates across multiple geographies and time zones
Additional Information :
Perks:
Day off on the 3rd Friday of every month (one long weekend each month)
Monthly Wellness Reimbursement Program to promote health wellbeing
Monthly Office Commutation Reimbursement Program
Paid paternity and maternity leaves
Remote Work :
Yes
Employment Type :
Fulltime
Employment Type
Remote
