Consultant, Data & Analytics; Part Time

Position: Consultant, Data & Analytics (Part Time)

Consultant, Data & Analytics (Part Time)

Join to apply for the Consultant, Data & Analytics (Part Time) role at Fearless.

Job Requirements

At Fearless the consultant is responsible for leveraging data to answer business questions, develop algorithms and models, and build scalable infrastructure for managing and processing data. This role will possess and/or develop the skills to span the domains of data analysts, engineers, and scientists at a practical application level of proficiency. The Consultant will work on projects that allow them to design solutions that support decision-making, optimize operations, and enable data-driven innovation.

Areas

Of Domain Expertise & Technology Awareness

More Information included in Skill Pathing Documentation.

Required Level Of Proficiency

• Practical Application:
  Complete tasks in required competency/skill-based areas as requested. Help from an expert may be necessary from time to time, but you can usually perform the skill independently.

Fearless Impact

• Collaborates with cross functional teams
• Earn the trust of your customer and teammates by delivering world class services.
• Be reliable completing assigned objectives on time.
• Alert your teammates and supervisor immediately when you think a deliverable is at risk.
• Gather intelligence and listen to what your client, other people within the customer’s organization and other contractors say about your project, and report back to your Fearless teammates and supervisor (whether it’s good, bad or just informational).

Fearless Customer Impact

• Deliver expected outcomes relative to data that enable smarter, faster, and more informed customer decisions
• Offer and implement innovative solutions that introduce advanced analytics, machine learning, and emerging technologies for greater data accuracy and insight
• Serve as a trusted advisor in your area of expertise

The Impact You Will Create

The role as a Data Engineer is responsible for architecting, building, and maintaining scalable tooling and infrastructure for managing data in a system. This includes building automated data pipelines, managing data storage, and creating systems to make data available to users. The Data Engineer also supports the team by performing tasks like data analysis, interpretation, extraction, formatting, labeling, cleaning, transformation, reduction, discretization, annotation, loading and processing.

Your

Responsibilities In This Role

• Design, develop, and maintain data pipelines and transformations to support a secure and scalable data platform.
• Build and optimize ETL processes leveraging Databricks and Azure cloud services.
• Automate database maintenance tasks across on-premise and cloud environments to improve efficiency and reduce manual workloads.
• Integrate and manage relational and cloud-based databases, ensuring high-quality, accurate data.
• Migrate legacy systems and algorithms from on-premise solutions to cloud-based platforms while minimizing disruption to production.
• Develop maintainable, testable code in Python and SQL/PLSQL aligned with technical standards.
• Collaborate closely with cross-functional teams in an agile environment, actively participating in sprint planning, reviews, and retrospectives.
• Support performance tuning, troubleshooting, and debugging across the full data stack. Contribute to documentation, automated tests, and peer code reviews to ensure quality and reliability.

Work Experience

Skills and Qualifications We Require at Fearless

At Fearless, we seek candidates who blend technical know-how with sharp problem-solving and advisory skills to drive real impact in the communities we serve. Here are the key qualifications for this role.

• Analytical Thinking:
  The ability to observe and interpret information, break down complex problems into parts, identify patterns and relationships and draw logical conclusions to develop effective solutions.
• Synthetic Thinking:
  The ability to combine different ideas, information, or concepts to create a new, complex understanding or solution by integrating disparate elements into a new meaningful whole.
• Adaptability:
  Comfort with change, flexibility in the face of shifting demands and resilience to setbacks.
• Owners…