Data Process Analyst

About Citylitics Inc.
Citylitics delivers predictive intelligence on local utility & public infrastructure markets
What is Infrastructure? It is the roadways you rely on to safely get to Grandma's house, it's the potable water that comes out of your kitchen tap that you wash your family's food with and it's the energy that heats our homes and powers our digital lifestyles.
Every year, trillions of dollars are spent on all areas of infrastructure to maintain our quality life and move our economy forward. However, our infrastructure is no longer equipped to meet the needs of the future. We hear about infrastructure failures, whether bridge collapses, power blackouts, or water main breaks, every day in the news. Climate change and extreme weather events are disrupting the basic infrastructure we took for granted for years.
Citylitics is solving the hardest data problems in infrastructure while building the sales intelligence platform that enables a faster, more transparent, and more efficient infrastructure marketplace. We turn millions of unstructured documents into high value intelligence feeds and datasets that are available on an intuitive user experience. Our goal is to enable solution providers to connect with cities with relevant infrastructure needs in a faster and more digital way than historic market channels. As more companies adopt our platform, cities & utilities will be able to access solutions that deliver on the promise of moving towards a more resilient, sustainable, and equitable infrastructure future.
Who Are We Looking For?

The Data Process Analyst will be pivotal in ensuring the efficiency and reliability of our data services. This role involves process streamlining, production issue troubleshooting, and collaboration with cross-functional teams to develop and refine operational workflows. Success in this position requires a proactive mindset, strong problem-solving skills, and the ability to drive continuous improvement.

The position will be out of our Toronto Headquarters.

What Will You Accomplish? / How You Will Make An Immediate Impact:

Process Streamlining and Optimization

• Analyze existing workflows to identify bottlenecks, inefficiencies, and opportunities for automation.
• Design, implement, and maintain optimized processes for data ingestion, transformation, and delivery.
• Establish performance benchmarks and metrics to measure the effectiveness of process changes.

Operational Support and Troubleshooting

• Monitor production systems to identify and resolve operational issues proactively.
• Act as the first line of support for production-related challenges, escalating issues to appropriate teams as needed.
• Conduct root-cause analyses for recurring issues and implement long-term fixes.

Collaboration and Cross-Functional Coordination

• Work closely with data engineering, development, and product teams to ensure alignment on operational processes.
• Facilitate communication between teams to address dependencies and ensure smooth handoffs during workflows.
• Develop and document standard operating procedures (SOPs) to ensure consistency and knowledge sharing across teams.

Continuous Improvement

• Gather feedback from stakeholders to refine workflows and improve user experience.
• Stay informed about industry best practices and emerging technologies to enhance operations.
• Champion a culture of continuous improvement by driving initiatives that increase efficiency and reduce downtime.
• Other duties as assigned

Must-Have

• Bachelor’s degree in Operations Management, Business Administration, Information Systems, or a related field.
• 3+ years of experience in process optimization, operations management, or a similar role within a data-driven environment.
• Proven track record of streamlining workflows and implementing efficiency-focused initiatives.
• Experience in a DaaS, SaaS, or cloud-based environment.
• Strong problem-solving skills with experience in troubleshooting production systems.
• Excellent communication and collaboration skills, with the ability to work effectively across teams.
• Proficiency in tools like Excel, SQL, or other data management and reporting tools.

Preferred

• Familiarity with process improvement frameworks such as Lean, Six Sigma, or Agile.
• Knowledge of data pipelines, ETL processes, or data integration workflows.
• Hands-on experience with workflow automation tools (e.g., Zapier, Apache Airflow).
• Understanding of data security and compliance considerations.
• Previous experience working with remote teams.

Why Citylitics?

• Opportunity to work for one of the top in Canada revolutionizing data intelligence
• This is a rare opportunity to influence positive change within one of the biggest societal challenges of our generation: sustainable public infrastructure
• You get to support a disruptive solution with a compelling value proposition into an industry that is eager to hear from you and in a market with no direct competition.
• We live at the cross section of infrastructure, scaleup and data science/AI. There is no other team like us in Toronto.
• There is no corporate bureaucracy here. You will accomplish more here in a few months than what you would in a few years at a large, entrenched technology company.
• We believe that Data and AI will play an outsized role in our future, so we equip every team member with access to Generative AI tools and our full Data Universe to enhance their productivity and encourage innovation through experimentation.
• We are proud to offer every CityZen an internal mentorship program, in-role professional growth, skill-based development & learning, and internal promotion opportunities.
• We work hard, we play together, we win as a team! We are on a mission to solve infrastructure while savoring the moment and celebrating the little details along the way.

Citylitics is an equal opportunity employer. We are passionate about providing a safe workplace where everyone is accepted and has the opportunity to grow with us. We are committed to making diversity and inclusivity part of our culture!