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About careerzynith
careerzynith is a fast‑growing technology and logistics platform that connects local merchants, drivers, and consumers across vibrant urban markets. With a mission to empower neighborhood economies, careerzynith leverages cutting‑edge data science, AI, and cloud‑native architectures to deliver seamless experiences for every stakeholder. As the company expands its product portfolio beyond food delivery into a full‑service marketplace, the need for sophisticated finance data solutions and innovative analytics has never been greater. This is your chance to join a forward‑thinking team that values curiosity, collaboration, and impact.
Why This Role Matters
In the rapidly evolving world of digital commerce, finance data is the backbone of strategic decision‑making. As the Roundabout Assessment Innovation and Information Director, you will be the catalyst that transforms raw financial data into actionable insights, enabling careerzynith to scale efficiently, optimize operations, and stay ahead of market trends. This part‑time, remote position offers a unique blend of strategic leadership, hands‑on technical work, and cross‑functional collaboration.
Key Responsibilities
- Strategic Partnership: Work directly with senior stakeholders to identify finance data and technology needs, translate business requirements into technical specifications, and oversee end‑to‑end delivery.
- Data Architecture & Tooling: Partner with data engineers and developers to design, build, and maintain robust data pipelines, warehouses, and analytics platforms that serve finance, product, and operations teams.
- Innovation Leadership: Explore emerging technologies—particularly AI, machine learning, and advanced analytics—to prototype and implement solutions that drive efficiency and revenue growth.
- Automation & Governance: Lead the creation of automation frameworks, data quality standards, and governance policies that ensure reliable, secure, and compliant finance data flows.
- Cross‑Functional Collaboration: Act as the bridge between finance, product, engineering, and analytics teams, fostering a culture of data‑driven decision‑making across the organization.
- Mentorship & Knowledge Sharing: Elevate the finance analytics team’s capabilities by conducting workshops, sharing best practices, and championing continuous learning.
- Performance Optimization: Diagnose and resolve complex data challenges at scale, ensuring high‑performance query execution and minimal latency for critical reporting.
- Documentation & Roadmapping: Contribute to the finance data and automation roadmap, documenting architecture decisions, processes, and future enhancements.
Essential Qualifications
- Bachelor’s degree in Accounting, MIS, Computer Science, Engineering, or a related field (Master’s preferred).
- 4+ years of hands‑on experience in finance data analytics, data engineering, or data automation.
- Proven track record managing large‑scale financial data sets and delivering enterprise‑grade analytics solutions.
- Deep expertise in Alteryx Cloud (workflow creation, scheduling, and optimization).
- Advanced SQL proficiency—ability to write, tune, and troubleshoot complex queries.
- Strong familiarity with modern data platforms such as Snowflake, Alteryx Designer, and Python for data manipulation.
- Experience drafting detailed business requirements, test plans, and validation scripts for data projects.
- Solid understanding of ETL best practices, data modeling, and data warehousing concepts.
- Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical audiences.
- Detail‑oriented mindset combined with strong analytical, logical, and critical‑thinking abilities.
- Self‑motivated, adaptable, and comfortable juggling multiple priorities in a remote environment.
Preferred Qualifications & Additional Skills
- Hands‑on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) to embed predictive analytics into finance workflows.
- Certification in Alteryx Server or Alteryx Designer Advanced.
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker.
- Experience with project management platforms like Monday.com, Asana, or Jira.
- Knowledge of data security and compliance standards (e.g., GDPR, SOC 2, PCI‑DSS).
- Background in process automation using scripting languages (Python, Bash) or low‑code platforms.
Core Skills & Competencies
- Technical Acumen: Mastery of data engineering tools, cloud data warehouses, and analytics platforms.
- Strategic Vision: Ability to anticipate future data needs and align technology roadmaps with business goals.
- Collaboration: Proven ability to work across diverse teams—finance, product, engineering, and operations—to deliver cohesive solutions.
- Problem Solving: Innovative mindset that continuously seeks smarter, more efficient ways to handle data challenges.
- Leadership: Experience guiding junior analysts and fostering a culture of continuous improvement.
- Communication: Strong storytelling skills to translate data insights into compelling business narratives.
Career Growth & Learning Opportunities
careerzynith invests heavily in employee development. In this role, you will have access to:
- Mentorship from senior technology leaders and finance executives.
- Sponsored certifications (Alteryx, Snowflake, AWS, Azure, etc.) and continuous education budgets.
- Opportunities to lead high‑visibility, cross‑functional projects that directly influence company strategy.
- Exposure to cutting‑edge AI initiatives, giving you a platform to experiment with machine‑learning models in a production environment.
- A clear promotion pathway—from Director to Senior Director, and eventually to VP of Data & Analytics—based on performance and impact.
Work Environment & Culture at careerzynith
careerzynith champions a culture built on four pillars:
- Innovation: Employees are encouraged to think outside the box, prototype bold ideas, and iterate quickly.
- Collaboration: Cross‑team partnerships are the norm; you’ll work closely with product managers, engineers, and finance professionals.
- Learning: Continuous learning is embedded in daily routines—through lunch‑and‑learn sessions, internal tech talks, and knowledge‑sharing platforms.
- Customer‑Centricity: Every decision is guided by the goal of delivering value to merchants, drivers, and end‑consumers.
Our remote‑first policy means you can work from anywhere in the United States while staying connected through regular video check‑ins, virtual team‑building events, and an inclusive digital workplace.
Compensation, Perks & Benefits
- Competitive hourly rate of $30 USD, with performance‑based bonuses and equity participation.
- Comprehensive health, dental, and vision coverage for you and eligible dependents.
- Flexible paid time off, parental leave, and paid holidays.
- Retirement savings plan with company match.
- Wellness stipend, mental‑health resources, and employee assistance programs.
- Professional development budget for certifications, conferences, and online courses.
- Home office allowance to support your remote work setup.
- Access to cutting‑edge technology stacks and a collaborative community of data enthusiasts.
How to Apply
If you are passionate about turning finance data into strategic assets, love working with AI‑driven technologies, and thrive in a dynamic, remote environment, we want to hear from you. Join careerzynith and help shape the future of data‑powered commerce.
Apply Now
Closing Statement
careerzynith is more than a workplace—it’s a community of innovators, problem‑solvers, and dreamers. By joining our team, you’ll be part of a mission‑driven organization that values diversity, encourages bold ideas, and rewards impact. Take the next step in your career and help us build the data foundation that powers the next generation of local economies.
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