Job Title: Lead Analyst, Data & Analytics

Company Name: Arkatechture

Job Details: $100k-$115k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/wm8hc2zn2mp4ndpq

Job Description: Posted 1d agoLead Analyst, Data & Analytics@ ArkatechtureView All JobsWebsitePortland, Maine, United States$100k-$115k/yrRemoteFull TimeResponsibilities:Lead analytics, Mentor team, Diagnose issuesRequirements Summary:8-10+ years in data/analytics/BI, strong SQL, ETL/ELT, data warehousing, cloud data platforms (Snowflake, AWS), mentoring, customer-facing communication.Technical Tools Mentioned:SQL, ETL/ELT, Snowflake, Tableau, Power BI, Python, AWS, dbt
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 officeA 4-day workweek after 3 years of serviceGenerous paid time off, including 11 holidaysMedical, disability, life insurance, and optional dental/vision401(k) retirement plan with company matchTraining & certification reimbursementMilestone recognition programs, annual PTO increases, and moreAll 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 membersAct as a player-coach, maintaining hands-on involvement in complex support cases while mentoring and developing the teamServe as a senior escalation point for advanced SQL, ETL/ELT, data warehouse, and BI-related issuesDrive high-quality resolution of complex data platform issues, ensuring strong technical standards across all workCoach and mentor team members to deepen technical expertise, improve troubleshooting approaches, and grow professionallyOwn prioritization and triage of high-impact incidents, ensuring efficient routing and resolutionDrive SLA adherence while maintaining a high bar for technical accuracy and qualityConduct root cause analysis (RCA) on recurring data defects and partner with Engineering and Product on structural improvementsEnsure clear, proactive, and technically sound communication with clients throughout issue resolutionPartner cross-functionally with Engineering, Product, and Customer Success to address systemic platform issuesIdentify 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 issuesSupport operational tooling (PagerDuty, Jira, etc.) to ensure effective incident management and reportingParticipate 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 environmentsExperience leading or mentoring technical teams within data or analytics functionsStrong customer-facing experience with the ability to communicate technical concepts clearlyAdvanced SQL expertise (complex joins, CTEs, query optimization, performance tuning)Hands-on experience debugging ETL/ELT pipelines using SQL and/or PythonExperience with modern cloud data warehouses (Snowflake preferred; Databricks, Redshift acceptable)Experience working within AWS environmentsExperience with dbtStrong analytical thinking and structured problem-solving approach in complex data environmentsAbility to balance people leadership with hands-on technical ownershipComfortable challenging architectural decisions and driving continuous platform improvementExperience 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 environmentsExperience in SaaS or managed services modelsPreferred Experience AWS certifications (Cloud Practitioner, Developer, or Solutions Architect)SnowPro Core CertificationExperience supporting fintech or financial services data environmentsFamiliarity with tools such as Jira, PagerDuty, Slack, and ConfluenceExperience working with or supporting distributed teams (US and India)