Sr. QC Data Analyst - Data Quality & Methods

Responsibilities:

Day-to-day:

• Able to act independently under guided supervision to investigate issues

• Co-ordinate work and build strong relationships with On-Shore Managers

• Able to form views on how new processes ought to be constructed.

• Able to contribute both to BAU (Business as Usual) enhancements and to work under the umbrella of a project.

• Responsible for End of Period checks : volume & quantity extremes and trends checks (comparison with external data )

• Communication Skills: Excellent written and verbal communication skills to effectively communicate with diverse audiences.

Understanding the wider business

• Develops a basic understanding of the Operations functions

• Develop an understanding of the Commercial usage of our data

• Develop a broader understanding of our direct competitors

Training & Development

• Take ownership for self-development and where available participate in structured training.

• Gains proficiency in all relevant databases, data interrogation and reporting tools (for example Databricks, SQL, Python , Excel, etc.)

Communication & Collaboration

• Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email)

• Adhering to deadlines and escalating where there is a risk of delays

• Demonstrate and role model best practice and techniques including positive communication style.

• Displays a proactive attitude when working both within and outside of the team.

• Demonstrates clear, direct and to the point communication at Data Methods team meetings

Issue Management and Best Practice

• Proactive identification and root cause analysis of Data Methods issues and development of best practice solutions to improve the underlying methodology and processes.

• Support regular methodology review meetings with On-Shore Manager and Leads to establish priorities and future requirements.

• Knowledge sharing through the team, in either team meeting or day-to-day with the wider Data Methods team

• Able to think through complex processes and to how to construct and improve them, considering in detail the positive and negative implications of different approaches and how best to test and assess them.

Resource management

• Organising your workload efficiently

• Adhering to schedules

• Escalating any risks to deadlines and capacity challenges

Education & Experience

• Bachelors, Masters, Doctorate Degree

• 1+ years experience

Knowledge

• Awareness of sampling and weighting principles

• Strong statistical, numerical and logical skills

• Strong aptitude for data analysis

• Strong knowledge of metrics and KPIs

Tools

• SQL (intermediate)

• Python (intermediate)

• Excel (advanced)

• Power BI (intermediate)

• Databricks (desirable)

• Azure Dev Ops (basic)

• Access (basic)

Passion and Drive

• Passionate about data quality, integrity and best practices

• Passionate about delivering high quality data to clients on schedule

Communication

• Good English communication, presentation, interpersonal and writing skills

• Good listening skills

• Good online, virtual, and in-person collaboration skills

• Comfortable presenting panel and data methods to external audiences (internal)

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

While some roles can be remote, Numerator is only able to hire in many, but not all, states and provinces. In certain cases, if you are not located in a specific area where Numerator is able to hire, you may not be eligible for employment.