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Fearless · 2 weeks ago

Sr. Consultant, Data & Analytics

Baltimore, MD

Part-time

Hybrid

Senior Level

$115K/yr - $184K/yr

7+ years exp

Fearless is a digital integration consultancy on a mission to build a better tomorrow. They are seeking a Senior Consultant in Data & Analytics who will drive organizational transformation by architecting scalable data platforms and building advanced machine learning solutions while mentoring clients and teams to become data-driven organizations.

Computer Software

Comp. & Benefits

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

Delivers data visualization, analysis, and automation solutions that drive informed decision-making and advance the mission of the program

Qualification

AWS Data Storage & WarehousingAmazon RedshiftData Modeling & ArchitectureETL / ELT DevelopmentAdvanced SQLPythonData OrchestrationBig Data ProcessingSecurity & ComplianceAnalytical ThinkingSynthetic ThinkingOwnership & AccountabilityConsultative AdvisingCommunicating with InfluenceManaging PrioritiesAdaptability

Required

Must possess or have the ability to obtain Public Trust

Must have at least 7 years experience

Bachelor's Degree Required

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, schema management

Data Modeling & Architecture

Data warehouse/lakehouse best practices

Designing scalable batch and real-time pipelines

ETL / ELT Development

AWS Glue (PySpark ETL scripts, jobs, crawlers)

AWS Lambda (serverless transformations, orchestration helpers)

dbt on Redshift (ELT modeling and testing)

Experience building incremental pipelines

Data validation and quality checks

Data Orchestration & Workflow Automation

AWS Step Functions

AWS Glue Workflows

Big Data Compute & Processing

PySpark for large-scale distributed transformations

Experience tuning Spark jobs (partitioning, caching, shuffle optimization)

Security, Governance & Compliance

IAM (roles, policies, least privilege)

VPC networking basics Data governance frameworks (cataloging, tagging, lineage)

Implementing data retention and lifecycle policies

Monitoring, Logging & Observability

CloudWatch metrics, logs, dashboards

AWS Glue job monitoring

Redshift performance tuning tools (Query Monitor, Workload Manager)

Detecting pipeline failures and SLA breaches

DevOps & DataOps Practices

Infrastructure as Code (Terraform or AWS CloudFormation)

CI/CD for data pipelines and dbt models

Version control and code reviews (Git)

Automated testing of transformations and models

Advanced SQL (window functions, CTEs, optimization for Redshift)

Python (Lambda functions, ETL utilities)

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

Managing Priorities & Client Alignment: Skillfully negotiates and manages conflicting priorities to strategically align decisions, enhancing service delivery and client satisfaction