Fearless · 2 weeks ago
Consultant, Data & Analytics (Part Time)
Fearless is a digital integration consultancy on a mission to build a better tomorrow. The Consultant in Data & Analytics is responsible for leveraging data to answer business questions, develop algorithms, and build scalable infrastructure for managing and processing data.
Computer Software
Responsibilities
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
Qualification
Required
Ability to obtain a public trust clearance
5+ years experience
Bachelor's Degree Required
Proficiency in Python for data processing, transformation, and automation
Hands-on experience with Databricks for building and managing data workflows
Azure cloud expertise, particularly for data engineering and ETL pipelines
Strong background in Oracle SQL/PLSQL, including complex packages, procedures, and data migration scripts
Solid understanding of relational database concepts, query optimization, and cloud-based data storage solutions
Experience with data integration and ETL processes
Strong collaboration skills and experience working within agile teams
Familiarity with Git, including advanced operations like rebasing, squashing, and cherry-picking
Analytical Thinking: The ability to observe and interpret information, break down complex problems into parts, identify patterns/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
Ownership & Accountability: Committed to taking responsibility for outcomes, ensuring that all commitments are met with a focus on enhancing service delivery
Consultative Advising: Identifies and articulates client challenges, scopes projects and aligns recommendations to business goals and client expectations
Communicating with Influence: Capable of crafting and delivering clear, persuasive messages that integrate data insights and structured narratives, tailored to the strategic needs of diverse audiences to drive effective decision-making
Environmental Awareness: Maintains awareness of external dynamics, power structures within client environments as well as regulatory trends and contract requirements that influence service delivery
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
Preferred
Experience with AI/Machine Learning workflows, including model development or deployment, is a plus
Knowledge of medical or healthcare data systems, including handling sensitive data such as medical records and understanding privacy regulations (e.g., HIPAA), is a plus
Benefits
Flexible, life-friendly schedules
100% coverage for our medical HSA plan + HSA contributions
Dental & vision covered 100% for you and your dependents
Competitive premiums for HMO/PPO and dependent coverage
401(k) with 4% match & immediate vesting
Paid Parental Leave and 12 weeks paid FMLA
Generous PTO, 11 Federal Holidays, a Birthday Holiday, and Sick Leave
Up to 15 days for Jury Duty and Bereavement Leave
Education, wellness, and tech allowances
Referral bonus: $6K–$12K for each successful referral
Pet insurance & discount plans
Employee Assistance Program (EAP)
Legal support, life insurance, disability coverage
8.75 days of safe & sick leave annually
Eligible for our 401(k) plan with employer contributions