Senior Data Analyst

Arkatechture • Portland, ME

4h • $80,000 - $100,000 • Remote

About The Position

Arkatechture is seeking a Senior Data Analyst on the Product team to help drive the next generation of data and AI-powered solutions within our Arkalytics platform and client engagements.

In this role, you will operate at the intersection of analytics, AI and engineering, building intelligent data solutions that enhance decision-making and operational efficiency. You will work closely with cross-functional teams to design scalable data products, integrate AI capabilities, and push the boundaries of what our analytics platform can deliver.

The ideal candidate is a strong problem solver who can troubleshoot independently with hands-on experience applying AI tools (including GenAI) to real-world data problems.

Requirements

• Bachelor’s degree in a relevant field or 5+ years of equivalent practical experience in data science, analytics, or applied AI
• Strong expertise in SQL and Python for data analysis, modeling, and production workflows
• Hands-on experience developing, deploying, and maintaining machine learning models in production environments
• Experience with MLOps platforms and practices, including tools such as AWS SageMaker or similar
• Experience working with modern data platforms such as Snowflake (preferred), Databricks, or BigQuery
• Hands-on experience with Generative AI technologies, including LLMs, prompt engineering, and frameworks such as LangChain, as well as vector databases and related tooling
• Proven experience applying AI and machine learning to real-world business or analytics problems with measurable impact
• Experience with BI and data visualization tools such as Tableau or Power BI
• Strong understanding of data warehousing, data modeling, and analytics architecture
• Familiarity with cloud platforms, preferably AWS
• Strong analytical thinking and problem-solving skills with attention to detail
• Excellent communication skills, with the ability to convey complex concepts to both technical and non-technical audiences
• Experience working in Agile or Scrum environments

Nice To Haves

• Experience building or supporting AI-powered analytics products or features
• Experience with Claude Code or Cortex code
• Experience working with financial institutions (credit unions, banks)
• Experience on a Product or innovation-focused team
• Demonstrated curiosity and passion for emerging AI technologies

Responsibilities

• Design, develop, and maintain advanced analytics solutions, including predictive models and Generative AI applications, using SQL, Python, and modern AI and BI tools
• Translate business problems into data-driven and AI-enabled solutions
• Responsible for end-to-end delivery of analytics and AI initiatives, from data exploration and feature engineering to model development, deployment, and ongoing optimization
• Design and engineer features from diverse data sources, including first-party and third-party data, to improve model accuracy and business relevance
• Operationalize models using robust MLOps practices, including deployment pipelines, automated scoring, version control, and scalable data integrations
• Define, monitor, and continuously improve model performance using appropriate metrics, including validation frameworks, drift detection, and retraining strategies
• Translate model outputs into scalable, user-friendly analytics products and dashboards (e.g., segmentation, propensity scores, next best product recommendations) for end-user consumption
• Design and evaluate experiments, including A B testing, to measure model effectiveness and quantify business impact
• Integrate AI, machine learning, and Generative AI capabilities into analytics workflows and product solutions
• Champion the adoption of Generative AI across teams by identifying and implementing use cases that improve productivity, insight generation, and client value
• Explore and implement solutions leveraging LLMs, prompt engineering, and AI-assisted analytics
• Educate and enable internal teams on AI and Generative AI best practices through documentation, training, and reusable frameworks
• Collaborate with Product, Engineering, and Services teams to evolve the Analytics Edge and AI roadmap
• Troubleshoot complex data, model, and system issues, identifying root causes and implementing scalable solutions
• Communicate insights, risks, and progress clearly to stakeholders, including both technical and non-technical audiences
• Create and maintain comprehensive technical documentation for data models, AI workflows, and processes
• Participate in Agile and Scrum ceremonies and contribute to continuous improvement of team processes
• Support client-facing discussions, demos, and training sessions as needed

Benefits

• A flexible remote work policy with optional access to our Portland, Maine office
• A 4-day workweek after 3 years of service
• Generous paid time off, including 11 holidays
• Medical, disability, life insurance, and optional dental/vision
• 401(k) retirement plan with company match
• Training & certification reimbursement
• Milestone recognition programs, annual PTO increases, and more

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees