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Data Analyst – Analytics, Mid-Level

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Data Analyst – Analytics, Mid-Level

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Jobright.ai Get AI-powered advice on this job and more exclusive features. CohnReznick is one of the nation's top professional services firms, providing advisory, assurance, and tax services. They are seeking a Senior Associate to join their Data & Analytics team in the Digital Advisory practice, where the role involves collaborating with stakeholders, conducting data analysis, and leading data science engagements to optimize client performance and drive insights. Responsibilities: • Collaborate with stakeholders to gather, analyze, and document business and technical requirements for reports, predictive analytics, and/or AI implementation. • Translate business needs into detailed functional and technical specifications for development teams. • Conduct gap analysis, process mapping, and data modeling to support system design and optimization. • Develop and maintain documentation for client engagement including use cases, workflows, and data dictionaries. • Support UAT (User Acceptance Testing) by defining test cases, coordinating testing efforts, and validating outcomes. • Utilize SQL and data analysis tools to extract insights, validate data integrity, standardize data formats and naming conventions to ensure consistency across systems and reports. • Create and maintain documentation of data quality rules, validation checks, and cleanup procedures. • Lead Data Science and Machine Learning intensive engagements with a primary focus on client delivery and project management of teams with Data Scientists, Data Engineers, Business Consultants and translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (product development, marketing research, supply chain, and technology processes) • Undertake necessary statistical analysis using Natural Language Processing to mine unstructured data, using a variety of methods (document clustering, topic analysis, names entity recognition, document classification, and sentiment analysis) as part of the overall Machine Learning initiative set forth for the engagement • Analyze structured and unstructured data, understand and implement algorithms, and support analysis using advanced statistical and mathematical methods form emerging areas in pattern analysis, machine learning, deep learning, data mining, econometrics, and operations research • Lead workshops around emerging technologies in associated areas of Machine Learning, with both business clients and technical clients utilizing processes and best practices to plan, lead, and execute delivery of artificial intelligence engagements across different areas (technology, financial services, emerging tech, industrials, consumer products, energy and utilities) • Lead in a fast-paced and dynamic environment utilizing virtual and face-to-face interactions; manage complex work streams, expectations, budgets, deliverables, risks, and multiple responsibilities using structured approaches for operational excellence while communicating results to executive level audiences • Plan and manage objectives and key deliverables using analytics processes to mitigate risks in data, modeling, validation, and delivery Qualifications: Required: • Bachelor's degree from an accredited college/university; Data Science, Engineering, Computer Science preferred • A minimum of two (2) years of technical data science experience • Experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor, and optimize code for efficiency. • Expert problem-solving ability through the use and/or development of data science algorithms, models, testing, etc.; ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, Python, Spark, Hadoop and emerging Cloud Capabilities on Azure, GCP and/or AWS; experience with command-line scripting, data structures, and algorithms Company: CohnReznick LLP provides clients with forward thinking advice that helps them navigate complex business and financial issues. Founded in 1919, the company is headquartered in New York, New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage. CohnReznick has a track record of offering H1B sponsorships. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job

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