Lead Analyst Job Description

Lead Analyst Job Description Template

Our company is looking for a Lead Analyst to join our team.

Keep up to date with market trends and best-practice, ensuring skills and knowledge is up to date;
Manage client expectations and client projects;
Providing actionable insights of the back of analysis completed on customer and marketing data, using SQL;
Building reports and processes as needed as well as doing deep dive analysis;
Being responsible to build out and take complete ownership of the role and analytics function;
Work with media team to implement audience led data-driven media campaigns;
Take ownership of data deliverables and deliver tasks timely and to a good quality standard;
Feed into budget planning, end of campaign reporting and QBR’s;
Work with global data teams to elevate the EU region in audience led data initiatives and ensure regional nuances are noted;
Management of test and learn roadmap for segment definition;
The ability to solve a multitude of problems by leveraging deep knowledge and experience in data and media;
Managing stakeholder expectations by communicating clear timelines across all projects;
Understand the needs and requirements of the client and act accordingly;
Carry out customer analytics on the company’s platform;
Carry out different techniques to help with customerchurn, retention, and acquisition.

Excellent time management skills and demonstrable consistency in meeting agreed deadlines / time-frames in a pressurised environment;
Experience in working with BI tool such as Alteryx, Tableau, Birst, QlikView, MS Power BI, SAP Crystal Reporting and MicroStrategy is desirable;
Able to present complicated data insights & strategic recommendations in a client facing manner and teach others to do the same;
Strong team player who is able to work with people and deliver on projects by taking ownership;
Python;
Expertise and hands on experience using Adobe Audience Manager;
Technical understanding of how data flows across systems (web analytics, DMP, media analytics, etc);
Brilliant client service, and fostering that culture within your team to ensure smooth delivery across what is a complex piece of business;
Understanding of statistical and machine learning applications for general insurance;
Experience of working with cloud infrastructure preferred;
Object oriented design and development, design patterns;
sas;
Capable of translating complex data sets into insights;
Highly dedicated and committed to delivering quality output by working to deadlines;
Auxiliary development process skillset (GIT, Maven etc.).