Thursday , March 23 2023

Lead Data Engineer Advertisement

Website Afiniti

About the job


Who are we?

Afiniti is the world’s leading applied artificial intelligence and advanced analytics provider. Afiniti Enterprise Behavioural Pairing™ uses artificial intelligence to identify subtle and valuable patterns of human interaction in order to pair individuals on the basis of behaviour, leading to more successful interactions and measurable increases in enterprise profitability. Afiniti operates throughout the world and has measurably driven billions of dollars in incremental value for our clients.

Purpose

Working within the Client Data Services team, you will be a key team member who drives excellent customer service to both internal and external clients. CDS is responsible to build strong relationships with client partner teams including business owners, marketing, IT and other teams as well as internal Afiniti business analytics, artificial intelligence and IT teams to develop and deliver high value deliverables. Proactively identify, prioritize and conduct analysis that drives meaningful insight on target objectives.

Key Responsibilities

Support the Director and CDS team to drive the business agenda, successfully delivering on business and CDS goals

Liaise with internal and client stakeholders, including senior and executive level, to communicate data requirements and help secure relevant data assets

Able to drive successful completion of reporting, data/client scoping and analytic deliverables

Ensures quality and reliability of data obtained from clients, ensuring it contains analytics and modelling capabilities

Responsible for performance reporting on client accounts

Manage requests for performance results, provide drill down on results and conduct custom analysis

Fulfilment of requests for analytics and performance queries from internal & external clients

Ensure correct client accounts monthly billing procedure is followed and invoicing is accurate and timely

Drives analysis and reporting in support of financial objectives and targets on client accounts

Reconcile data (internally and with the client). Reconcile data and procedure with internal teams

Drive new business opportunities through seeking new data access in collaboration with client and internal teams

Document data joining procedures (collaborate with and audit procedures from AI team) for new installations and expansions. Secure client to agree to procedure.

Ensure data integrity on review of historical data

Confirm that AI team is able to optimize the performance metric desired by the client and that the data provided by the client is sufficient (completeness and usability)

Define data validation reports to be shared with client

Show client how to look at the data and give them comfort around the procedure and the various checks that are part of validation. (Present results and explain SQL procedures to client via web session)

Prepare succinct, clear, and easy to follow documents that summarize findings and insights

Perform other duties as assigned

The ideal candidate will have

6+ years of working experience as a data analyst

Expert knowledge of SQL; R and Python would be beneficial

Experience of working in a client facing role; consulting experience preferred

The ability to manage clients and internal stakeholders’ expectations

The ability to convey complex mathematical concepts in meaningful way to business clients and internally

The ability to work independently and in a team environment

The ability to work effectively across functions, levels and disciplines

Strong MS Office Suite skills – particularly Word, Excel, and PowerPoint

Basic knowledge and understanding of statistical concepts

Strong problems solving and critical thinking skills

Education & Qualifications

Bachelor’s Degree in Economics, Statistics, Engineering, Computer Science, Mathematics or Finance

Salary and Package

As well as a competitive base salary dependent on the number of years of experience, we also offer corporate benefits.

To apply for this job please visit www.linkedin.com.