Senior Consultant - Analytics - Data Scientist and Data Engineer

Forvis Mazars US; Dallas (TX); On-site; USD 125,000 - 175,000; Full time

Job summary

A leading consulting firm is seeking a Senior Consultant for Analytics, Data Science, and Data Engineering in Dallas. This role involves engaging clients, developing data-driven solutions, and commanding a high level of technical proficiency in data analysis. Ideal candidates will possess a strong background in data-related fields and a genuine passion for delivering impactful solutions. The position offers a competitive salary in the range of $125,000 to $175,000 annually.

Qualifications

• Expertise in developing and deploying data models in production environments.
• Knowledge of cloud architecture and system design.
• Strong command of data exploration and analysis.

Responsibilities

• Engaging with clients to assess data strategies and deliver solutions.
• Leading the design and development of data products.
• Conducting exploratory data analysis and creating data pipelines.

Skills

Problem-solving

Communication

Data analysis

Education

Bachelor's degree in Data & Analytics-related field

Tools

PowerBI

Tableau

Python

SQL

Pyspark

Job description

Senior Consultant - Analytics - Data Scientist and Data Engineer

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

Senior Consultant - Analytics - Data Scientist and Data Engineer

Join to apply for the Senior Consultant - Analytics - Data Scientist and 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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