Data Analyst

New York, New York

PMX
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Job Description

As an Analyst on the Data Operations team, you will support the Client Operations team with reporting and analytics, and help internal and external clients make better decisions by taking advantage of known data-driven techniques. This role will service a major Publicis client, wherein you will be responsible for generating end-to-end insights, data pulling, report building, and collaborating with several teams to take on already structured processes. In addition, one of the most important requirements is driving bottom-line growth, through ensuring operational efficiencies.

The ideal candidate will have strong technical skills in relational databases, API data extraction, and intermediate programming in various analytics software, such as Python or R. They will automate data pipelines, build aesthetic/analytically profound/easy to understand visualizations, using software such as Tableau or PowerBI, to tell stories, and provide recommendations that can help end-users to optimize on their key performance indicators.

In order to succeed, the candidate must have sound technical knowledge, as well as outstanding soft skills.

Responsibilities:

Support the Client Operations team in reporting and analytics needs

Build reporting/analytical end-to-end solutions that require executive communication, fulfilling requirements, designing data pipelines, building dashboards

Develop data pipelines with processes ranging from mining, extracting, cleansing, and transforming to building automatable reporting and analytics dashboards

Deliver actionable analytical solutions involving some data and statistical modeling (e.g. data sampling, segmentation, classification, predictive modeling, etc.)

Develop and execute automated processes that can be applied to standardized reporting and analytics solutions

Manage relational databases to organize, store, and process clean data prepared for internal and client stakeholders

Communicate/present analytical findings and recommendations to audiences ranging from executives to working level team members

Date Posted: 21 September 2023
Job Expired - Click here to search for similar jobs