- Senior
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
The Lead Analyst (Ancillary Implementations) will be responsible for leading requirement gathering, data analysis, data mapping and visualization for all ancillary Arkalytics implementation projects. This role serves as the primary point of contact for all analytical aspects of implementations, collaborating closely with Implementation Managers, the Engineering Manager, Solution architects, and client teams.
The Lead analyst will manage, mentor and guide other analysts on the team, ensure accurate and timely delivery of tasks, and help troubleshoot complex client issues. The ideal candidate is highly analytical, detail-oriented, organized, and an effective communicator, capable of balancing multiple projects while ensuring high-quality outputs. This role contributes to both project success and the continuous improvement of analytical practices within Arkalytics.
The ideal candidate is self-motivated, organized, and adaptable, with the ability to balance strategic priorities with hands-on execution. This role contributes both to successful project delivery and to shaping Arkalytics analyst best practices that align with Arkalytics’ overall platform strategy.
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
Key Responsibilities
- Lead and oversee data analysis and implementation activities for ancillary Arkalytics projects.
- Collaborate with Implementation Managers to define project milestones, ensure deliverables are met on time and within budget, and proactively address client issues.
- Serve as the primary point of contact for clients on all Arkalytics Business Conformance (BCON) and Visualization implementation matters and escalations.
- Facilitate requirements sessions, user training, and other client-facing meetings.
- Gather and document requirements for data pipeline integrations (ELT) and business logic data mappings.
- Document and review Source-to-Target Mappings (STTM).
- Partner with Solution Architects to define and implement best-in-class technologies and practices across Arkalytics where applicable.
- Provide hands-on technical leadership for the development and review of code across the business conformance and BI layers.
- Perform data profiling and analyze source system data and metadata.
- Develop, review, and test SQL code to support integrations and transformations.
- Test ELT workflows and provide sign-off to Implementation Engineers on source system integration work.
- Build and manage reference data for hierarchies, lookups, and groupings.
- Develop and maintain Data Dictionaries and Data Lineage documentation.
- Document processes, workflows, and templates to standardize and improve delivery.
- Develop and configure data visualizations using tools such as Tableau or Power BI.
- Manage, mentor, and coach analysts, fostering continuous learning and professional development.
- Participate in staffing decisions including hiring, onboarding, and performance management.
- Encourage innovation in areas such as data analysis, AI, stream processing, and cloud data services.
- Take ownership of challenges, apply creative problem-solving, and proactively remove roadblocks to guide the team to success.
- Ensure accuracy, completeness, and consistency of data transformations, mappings, and integrations.
- Identify and escalate data or process issues and risks in a timely and transparent manner.
- Additional responsibilities as assigned.
Skills, Knowledge and Expertise
Requirements
- Bachelor’s degree in a relevant field (e.g., Computer Science, Data Analytics, Statistics, or Information Systems) or equivalent experience in another engineering discipline.
- 5+ years of experience in data analysis, analytics implementation, or business intelligence, including at least 2 years in a lead or supervisory role.
- Strong experience with data platforms, ETL/ELT pipelines, and relational databases (Snowflake, SQL Server, PostgreSQL, Oracle, etc.).
- Proficiency in SQL and scripting languages such as Python or R for data processing, automation, and analysis.
- Experience with data visualization tools such as Tableau, Power BI, or similar.
- Familiarity with collaboration and productivity tools such as Git, Jira, Confluence, and Slack in an Agile environment.
- Solid understanding of Agile software development life cycle and methodology.
- Excellent technical writing skills, including documenting business requirements, development specifications, and user guides.
- Excellent communication and presentation skills, with the ability to convey technical information clearly to clients and internal stakeholders.
- Proven track record of successfully implementing software applications or data projects end-to-end.
- Demonstrated ability to drive projects by asking the right questions, understanding business requirements, and translating them into actionable development tasks.
- Experience working with offshore teams and managing distributed collaboration effectively.
- Strong organizational skills with the ability to prioritize competing demands and balance short-term needs with long-term goals.
Preferred Experience
- Understanding of cloud platforms such as AWS
- Experience in working with financial institutions such as Credits Unions and Banks
- Experience with Jira, Confluence, Bitbucket
- Knowledge of prompt engineering techniques and experience using Generative AI tools (e.g., for code assistance, documentation, or workflow automation) to improve engineering productivity and innovation
