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Senior Consultant, Analytics - Data Scientist & Data Engineer

Forvis Mazars US

Atlanta (GA)

On-site

USD 80,000 - 120,000

Full time

3 days ago
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Job summary

A leading professional services firm is seeking a Senior Consultant in Analytics, specifically in Data Science and Data Engineering. The role involves engaging with clients, developing and implementing data strategies, and leading projects to enhance analytical capabilities. The ideal candidate will possess strong problem-solving skills, a relevant degree, and experience with data visualization tools. This position promises to drive business impact through data-driven strategies and offers opportunities for leadership and mentorship.

Qualifications

  • Bachelor's degree in a Data & Analytics-related field.
  • Proficiency in data visualization tools and Python.
  • Knowledge of cloud architecture and system integration.

Responsibilities

  • Engage with clients to understand their data needs and deliver solutions.
  • Contribute to the design and development of data products.
  • Conduct exploratory data analysis and develop predictive models.

Skills

Problem-solving
Communication
Data strategy
Machine learning

Education

Bachelor's degree in Data & Analytics-related field

Tools

PowerBI
Tableau
Python

Job description

Senior Consultant, Analytics - Data Scientist & Data Engineer

Join to apply for the Senior Consultant, Analytics - Data Scientist & Data Engineer role at Forvis Mazars US

Senior Consultant, Analytics - Data Scientist & Data Engineer

Join to apply for the Senior Consultant, Analytics - Data Scientist & Data Engineer role at Forvis Mazars US

  • Engage with clients professionally and consistently to understand their needs, deliver effective solutions, and build trust.

  • Assess clients' data strategy, systems, and datasets by exploring cloud and on-premise infrastructure and conducting meetings.

  • Contribute to the design and development of data products, leading aspects of technical design.

  • Conduct exploratory data analysis, develop predictive models, and create pipelines that generate reliable outputs for visualizations and applications.

  • Set a high standard for quality and performance in code development, ensuring integration with CI pipelines through functional and unit testing.

  • Take on leadership responsibilities in client projects as technical expertise grows.

  • Provide training and mentorship to team members and interns as needed.

  • Lead and support client engagement throughout all phases of the project lifecycle.



Description & Requirements

How You Will Contribute:

  • Engage with clients professionally and consistently to understand their needs, deliver effective solutions, and build trust.

  • Assess clients' data strategy, systems, and datasets by exploring cloud and on-premise infrastructure and conducting meetings.

  • Contribute to the design and development of data products, leading aspects of technical design.

  • Conduct exploratory data analysis, develop predictive models, and create pipelines that generate reliable outputs for visualizations and applications.

  • Set a high standard for quality and performance in code development, ensuring integration with CI pipelines through functional and unit testing.

  • Take on leadership responsibilities in client projects as technical expertise grows.

  • Provide training and mentorship to team members and interns as needed.

  • Lead and support client engagement throughout all phases of the project lifecycle.



We are looking for people who have Forward Vision and:

  • Strong problem-solving abilities, particularly in product development.

  • Motivation to drive business impact through data-driven strategies.

  • Comfort working with diverse stakeholders and teams.

  • Excellent written and verbal communication for cross-team collaboration.

  • Enthusiasm for learning and mastering new technologies in a fast-evolving environment.

  • Ability to travel occasionally

  • Ability to support and engage with users of data and analytics products.



Minimum Qualifications

  • Bachelor's degree in a Data & Analytics-related field (or equivalent experience), such as Data Science or Data Engineering.

  • Knowledge of cloud architecture, system design, and integration.

  • Expertise in developing and deploying data models and products in production environments.

  • Proficiency in data visualization tools such as PowerBI or Tableau.

  • Experience with text mining, NLP, or Generative AI.

  • Background in solution architecture, DevOps, or data engineering with platforms like Azure, AWS, or GCP.

  • Strong proficiency in Python, Pandas, Pyspark, and scikit-learn.

  • Understanding of various machine learning techniques, including clustering, decision trees, boosting, and neural networks.

  • Familiarity with Linux ecosystems, including Bash, SSH, virtualization, and automation.

  • Experience with databases such as SQL and Spark-based platforms (Databricks, Fabric, Synapse).

  • Comfort working with Git for Continuous Integration and Deployment (GitLab CI, Docker Compose).

  • Strong command of data exploration and analysis in an open-source environment.

  • Proven ability to develop and implement machine learning models and simulations.

  • Experience in data visualization (preferred).



Seniority level
  • Seniority level
    Not Applicable
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Research, Analyst, and Information Technology
  • Industries
    Professional Services

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