Sr. Consultant, Data & Analytics
Listed on 2025-12-27
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer
Sr. Consultant, Data & Analytics
Join to apply for the Sr. Consultant, Data & Analytics role at Fearless
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At Fearless, the Senior Consultant is an expert in data analysis, engineering, and science. This role will possess the necessary skills at an advanced level of proficiency to drive organizational transformation by architecting scalable data platforms, building advanced machine learning solutions, and mentoring customers and teams to become data-driven organizations. The role involves working with executives, project teams, and internal leaders across departments to identify opportunities where data can accelerate missions, create efficiencies, and deliver technical excellence.
Areasof Domain Expertise & Technology Awareness
More information included in Skill Pathing Documentation.
Required Level Of Proficiency- Advanced Application:
You can perform the actions associated with a skill without assistance. You are recognized within your immediate organization as "a person to ask" when difficult questions regarding required skills arise.
- Fosters collaboration with cross functional teams by taking the initiative and driving conversations.
- Coach, mentor, and develop peers that elevate team capability and technical expertise using clear and persuasive communication of engineering solutions to both technical and non-technical audiences.
- Earn the trust of your customer and teammates by delivering world-class services.
- Drive accountability and delivery by ensuring project objectives are not only met on time but aligned with client priorities and Fearless standards of excellence. Anticipate risks and implement proactive solutions to keep initiatives on track.
- Take ownership of risk management by monitoring deliverables across the team, identifying issues early, and coaching teammates on mitigation strategies while keeping leadership informed.
- Shape client engagement and intelligence-gathering efforts by actively cultivating relationships with stakeholders, synthesizing insights across the client organization and partner ecosystem, and providing Fearless leaders with actionable recommendations that inform strategy and strengthen delivery outcomes.
- Deliver expected outcomes relative to high quality code and maintainable systems.
- Offer and implement innovative solutions that include engineering best practices through new tools, frameworks and methodologies.
- Lead and align stakeholders with product and project goals that advance customer satisfaction as well as Fearless’ objectives, strategy, and mission.
- Serve as a trusted advisor in your area of expertise.
This role as a Data Engineer will support a program that provides secure authentication and identity verification, allowing individuals to use a single, trusted account to access multiple federal services. The service supports more than 60 million users and processes over 160 million sign‑ins annually across 30+ agencies and 300+ applications.
Responsibilities- Provide comprehensive data analytics support to advance strategic goals—strengthening service reliability, enhancing performance, and identifying opportunities for product improvement.
- Develop foundational analytics capabilities that deliver insights into product usage, operational effectiveness, and user experience.
- Leverage modern analytics practices while ensuring strong data privacy and security protections.
- Enable internal capacity‑building, collaborating with stakeholders, and applying data-driven methods to optimize processes across key value streams:
Business, Performance, Equity, Privacy, Anti-Fraud, and Security. - Deliver data visualization, analysis, and automation solutions that drive informed decision-making and advance the mission of the program.
Must have at least 7 years experience. Bachelor’s Degree Required.
Technical Requirements- AWS Data Storage & Warehousing
- Amazon Redshift (core): schema design, sort/dist keys, workload management, performance tuning.
- Amazon S3: data lake design, partitioning, lifecycle policies, object storage formats (Parquet, ORC).
- AWS Glue Data Catalog: metadata, tables, crawlers,…
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