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*data analyst associate*full timeaguascalientes, mx*innovate with benchmark digital as a data analyst associate*are you ready to innovate the future?
at benchmark digital partners, we innovate the future every day by providing our customers with environmental, social & governance (esg) best-practice digital transformation software solutions!
from our incredible team members & leadership and the collaborative spirit of our subscribers and partners, to the continuous innovation in leveraging new technologies like artificial intelligence, machine learning, and iot, a career at benchmark digital partners means using your skills to develop fresh ideas and initiatives.
our global employees work together seamlessly, combining our collective creativity and passion to meet and exceed the expectations of our customers.we work with incredible brands like general electric and whirlpool among many others that trust our solutions & services.
*benchmark digital benefits*we offer all our full-time employees a competitive package of compensation and benefits, including vacation and paid-time-off; company-sponsored grouphealthcare and life insurance plans.
we also pride ourselves on our friendly, diverse and welcoming work atmosphere.
plus, our team events and office-wide initiatives keep us feeling invigorated and ready to tackle any challenge.
*about benchmark digital partners*benchmark digital subscribers*worldwide: colgate, general electric, grainger, ineos, ingersoll rand, l3harris, nbcuniversal, reynolds, wayfair, whirlpool, general electric, grainger, hill-rom, ingersoll rand, luxottica, nbcuniversal, perrigo, us silica and more.
*responsibilities*- working with customer services team to finalize efforts for proposal creation.- working with application dev teams to finalize data models to bring into the tableau reports.- entail ongoing maintenance to these reports as well, and investigating if there are data accuracy concerns.
*education*:bachelor's degree in information systems/computer science, with course work in database management, and computer-related training.
*qualifications & experience*:- must be able to clearly understand and articulate a data science problem and work on it independently.- experience in implementing and optimizing various algorithms of big data analytics, machine learning and statistical algorithms using computer languages such as sql, r, python.- extensive background in data mining and statistical analysis.- able to understand various data structures and common methods in data transformation.- excellent pattern recognition, natural language processing (nlp), predictive and machine learning modeling.- advanced skills in excel as well as any data visualization tools like tableau or similar bi tools (familiarity with tableau preferred).- advanced ability to draw insights from data and clearly communicate them (verbal/written) to the stakeholders and senior management as required