Job Openings >> Associate Consultant, Data Analytics
Associate Consultant, Data Analytics
Summary
Title:Associate Consultant, Data Analytics
ID:1019
Location:Remote, Worldwide
Department:Information Technology
Description

Associate Consultant, Data Analytics

The Role

We're seeking a seasoned and dynamic professional to join us as an Associate Consultant, Data Analytics. In this role, you'll be instrumental in delivering projects to our clients. You'll be responsible for analyzing, strategizing, implementing measures, and offering expert guidance to enhance our clients' operational resilience.

Modali believes in giving each person a chance to succeed: you will be afforded the opportunities, resources, and autonomy to deliver quality, timely projects to our diverse client base.

TO APPLY: Please submit an application using the link on our website, modaliconsulting.com. 

Responsibilities

  • Conduct in-depth data analysis to identify trends, patterns, and insights that can inform client strategies and recommendations.
  • Collaborate closely with clients to understand their business objectives and tailor data-driven solutions that address their specific needs.
  • Create visually compelling and easy-to-understand data visualizations, dashboards, and reports to effectively communicate findings to both technical and non-technical stakeholders.
  • Apply statistical techniques and predictive modeling to uncover correlations and forecast potential outcomes, enhancing the accuracy of strategic planning.
  • Ensure the quality, accuracy, and reliability of data by conducting data cleaning, validation, and preprocessing procedures.
  • Present analytical findings and recommendations to clients in a clear and concise manner, demonstrating the value of data-driven decision-making.
  • Leverage cutting-edge analytics tools and technologies to optimize data analysis processes and streamline workflows.
  • Collaborate with cross-functional teams to tackle complex business problems, utilizing your data expertise to drive innovative solutions.
  • Stay up-to-date with the latest trends and advancements in data analytics, bringing new ideas and best practices to the team.
  • Assist in project planning, timeline management, and resource allocation to ensure the successful execution of data analytics initiatives.

Qualifications

  • Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics).
  • Proficiency in data analysis tools such as Python, R, or SQL.
  • Experience with data visualization tools like Tableau, Power BI, or similar.
  • Strong analytical thinking and problem-solving skills.
  • Excellent communication and presentation abilities.
  • Ability to work collaboratively in a team-oriented environment.
  • Prior consulting or client-facing experience is a plus.
 

About

Who we are. Modali Consulting is a technology strategy and consulting firm, supporting private and public sector clients across a range of industries. Its primary capabilities are in data engineering, data science, project management, software development and design, analytics strategy, and solutions. Clients range from state and local governments, to Big 4 consulting firms, to product companies.

Modali Consulting prides itself on its staff and culture above all else because we are convinced that investing in people yields the best results. Its core principles are: (1) transparency and intellectual humility; (2) responsibility to each other; (3) commitment to challenging conventions; (4) failing forward and repeating success; and (5) fostering a cohesive and collaborative work environment for clients and employees alike. To learn more, go to www.modaliconsulting.com.

Diversity, Equity, and Inclusion. Modali Consulting is an inclusive equal opportunity employers committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, or gender identity.

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