Data Analyst - Business Operations

About Just Appraised 

We build software that uses natural language processing (NLP) and AI to help local governments work faster, more accurately, and more efficiently. Over 120 local government entities in 25 states rely on us to help drive revenues and provide important services that power society. 

Thrive, wherever you call home. Join our fully remote team and unlock a world of possibilities beyond just a paycheck:

• Globally connected, locally supported: Thrive in a vibrant online community that celebrates your unique talents, wherever you are.
  
• Supportive parental leave: Welcoming a new member to your crew? We've got your back with time and support to adjust.
• Home office, fully equipped: Craft your ideal workspace with our generous home office and equipment stipend.
• Plus: Flexible work arrangements, continuous learning opportunities, and much more!

This isn't just a job; it's a launchpad for personal and professional growth.

About the role

• You’ll work closely with our Business Operations and Analytics team to bridge the gap between business challenges and data-driven solutions. Your primary focus will be automating processes, analyzing complex datasets, and creating actionable insights that enhance efficiency, reduce costs, and support strategic decision-making. This role is highly impactful—your work in reporting, automation, and analytics will ensure we meet customer expectations at the highest level while optimizing costs.
• Please Note: This is a full-time role, and you must overlap with the rest of our team between 8 a.m. and 1 p.m. ET to be on call for urgent customer issues.

Responsibilities

• Business-Driven Data Projects: Translate key business metrics and challenges into actionable data projects that address core operational needs. Collaborate with stakeholders to understand requirements and align on deliverables.
• Exploratory Data Analysis (EDA): Perform exploratory data analysis to uncover trends, patterns, and anomalies. Identify opportunities to enhance operational efficiency and reduce costs.
• Data Preparation: Assess data validity and ensure datasets are clean, accurate, and prepared for analysis. Determine additional data requirements to support decision-making.
• Automation & Code Maintenance: Build and maintain Python scripts to automate processes and workflows. Test and troubleshoot code to ensure efficiency and scalability.
• Insights & Reporting: Create analysis, reports, and dashboards using SQL/Python to effectively communicate findings. Leverage tools like Hex, Mode, or equivalents to deliver actionable insights that enable decision-making and operational improvements.
• Stakeholder Communication: Present findings clearly and concisely to both technical and non-technical audiences. Equip stakeholders with data-based recommendations to drive impact.

What We're Looking For

• Experience: 2-4 years of experience as a Data Analyst or in a similar role, ideally within a product-based startup.
• Technical Skills:
• • Strong proficiency in Python for data analysis and automation.
  • Advanced skills in SQL for querying and data manipulation.
  • Experience with PostgreSQL or equivalent relational databases.
  • Experience with visualization tools like Looker, Power BI, or similar platforms.
• Data Foundations: Expertise in data validation, cleaning, and preparation techniques.
• Problem-Solving: Proven ability to connect data insights to business problems and implement impactful solutions.
• Communication: Strong verbal and written communication skills to effectively collaborate with diverse stakeholders (technical and highly non-technical individuals).
• Analytical Thinking: Ability to start with ambiguous problems, access and analyze relevant data, and draw meaningful conclusions.
• Attention to Detail: Strong focus on data accuracy and the ability to produce reliable analysis.
• Adaptability: Comfort in working in a dynamic, fast-paced environment with evolving priorities.
• Independence & Learning: Demonstrated ability to continuously learn, work independently, and make sound decisions with minimal supervision.

    Nice-to-Haves

• Exposure to tools like Zapier or similar for automating workflows and processes.
• Working knowledge of statistical methods for data analysis, including hypothesis testing, regression analysis, and probability theory, to support data-driven decision-making.
• Familiarity with tools such as AWS, Git, and Postman 
• Experience with machine learning, predictive analytics, or advanced analytics techniques to solve complex business problems and drive deeper insights.

What We Offer

• A High-Impact Role: Your work will directly contribute to cost savings and enhance operational efficiency.
• Collaborative Team Environment: Be part of a supportive team that values growth, creative solutions, and shared success.
• Flexible Work Arrangements: Enjoy the flexibility to balance your personal and professional life effectively.