Lead Analyst, Data & Analytics

Department: Arkalytics - Support

Location: Remote

Compensation: $100,000 - $115,000 / year

Description

Why Work Here?

At Arkatechture, we have a simple shared mission: to build a sustainable organization built upon three pillars: Do something meaningful, With a great team, Earning what you deserve.

Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company, partnering with organizations across the fintech, AI, and financial services spaces. We combine deep industry knowledge with technical expertise to help our clients unlock the full potential of their data. Whether it’s modernizing infrastructure, building analytics platforms, or leveraging AI for smarter decision-making, we thrive at the intersection of innovation and impact.

Our team is made up of curious, collaborative, and community-minded professionals who are passionate about solving complex problems and staying ahead of what’s next in data and technology. While our roots are in New England, our reach is nationwide, and we support flexible, remote-friendly work to match.

We offer a competitive benefits package that includes:

• 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

All employees share our core values: put the team first, practice humility, take pride in everything we do, stay curious, care for our community & environment, take work seriously; ourselves not so much.

The Position
Arkatechture is seeking a Lead Analyst, Data & Analytics to serve as a senior technical leader within the Arkalytics platform support function. This role is responsible for driving resolution of complex data and analytics issues across the full stack (SQL, ETL/ELT pipelines, data warehouses, and BI tools) while setting the standard for technical excellence across the team.

This individual operates as a hands-on expert and escalation point, partnering closely with and leading analysts, engineers, and customer-facing teams across US and India to ensure high-quality support and long-term platform reliability. The Lead Analyst serves as a key escalation point and is responsible for setting technical standards across troubleshooting, data model integrity, dashboard validation, and overall platform performance.

This is not a traditional service desk role. The ideal candidate brings deep, hands-on experience with modern analytics platforms such as Snowflake, Tableau, or Power BI and can diagnose issues across ingestion, transformation, warehouse, and visualization layers. In addition to resolving complex issues, this role partners closely with Engineering, Product, and Customer Success to drive long-term platform stability, scalability, and improvement.

How to Apply
Please send a cover letter and resume with your application. You must submit both documents to be considered for the position. We’re building a diverse team of people who care about doing meaningful work with great people. If that excites you, apply and let’s start the conversation.

Key Responsibilities

• Lead and support the Data and Analytics Support Desk function, providing both technical leadership and day-to-day guidance to analysts and team members
• Act as a player-coach, maintaining hands-on involvement in complex support cases while mentoring and developing the team
• Serve as a senior escalation point for advanced SQL, ETL/ELT, data warehouse, and BI-related issues
• Drive high-quality resolution of complex data platform issues, ensuring strong technical standards across all work
• Coach and mentor team members to deepen technical expertise, improve troubleshooting approaches, and grow professionally
• Own prioritization and triage of high-impact incidents, ensuring efficient routing and resolution
• Drive SLA adherence while maintaining a high bar for technical accuracy and quality
• Conduct root cause analysis (RCA) on recurring data defects and partner with Engineering and Product on structural improvements
• Ensure clear, proactive, and technically sound communication with clients throughout issue resolution
• Partner cross-functionally with Engineering, Product, and Customer Success to address systemic platform issues
• Identify trends, risks, and opportunities to improve platform performance, reliability, and scalability. Partner with the Head of Support Services to implement structural improvements and elevate service quality.
• Contribute to documentation, best practices, and knowledge sharing to reduce recurring issues
• Support operational tooling (PagerDuty, Jira, etc.) to ensure effective incident management and reporting
• Participate in hiring, onboarding, workforce planning, and performance management.
• Additional responsibilities as assigned.
  
  

Skills, Knowledge and Expertise

Requirements

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field.
• 8-10 years of experience in data, analytics, or BI platform environments
• Experience leading or mentoring technical teams within data or analytics functions
• Strong customer-facing experience with the ability to communicate technical concepts clearly
• Advanced SQL expertise (complex joins, CTEs, query optimization, performance tuning)
• Hands-on experience debugging ETL/ELT pipelines using SQL and/or Python
• Experience with modern cloud data warehouses (Snowflake preferred; Databricks, Redshift acceptable)
• Experience working within AWS environments
• Experience with dbt
• Strong analytical thinking and structured problem-solving approach in complex data environments
• Ability to balance people leadership with hands-on technical ownership
• Comfortable challenging architectural decisions and driving continuous platform improvement
• Experience conducting root cause analysis (RCA) on data defects and partnering with engineering teams to implement structural fixes.
• Demonstrated relationship skills. Works seamlessly externally (customers) and internally (Technical and customer success teams)
• Incident management experience for SLA driven environments
• Experience in SaaS or managed services models

Preferred Experience

• AWS certifications (Cloud Practitioner, Developer, or Solutions Architect)
• SnowPro Core Certification
• Experience supporting fintech or financial services data environments
• Familiarity with tools such as Jira, PagerDuty, Slack, and Confluence
• Experience working with or supporting distributed teams (US and India)