Intermediate Data Modeler

-Clio
- is more than just a tech company-we are a global leader that is transforming the legal experience for all by
bettering the lives of legal professionals
- while
increasing access to justice
- . Summary:
We are currently looking for a new Data Modeler to join our Business Intelligence team in one of our Vancouver, Calgary, or Toronto locations.

What your team does:
Our Business Intelligence team is part of the larger Data & AI group. Together, we’re focused on stewarding a scientific culture to drive better decisions. Along with the Manager of Business Intelligence, you will be working across departments to empower all stakeholders to make better decisions through data-oriented solutions, with a focus on making data easy and accessible at Clio. You will help our business grow, help our customers succeed, and continuously improve the way we operate.

Who you are:
We are looking for someone who takes data seriously, thrives in a rapid-growth, high-velocity environment, and someone who lives and breathes their values. We’re looking for an innovator and a thought leader We’re looking for someone who is:
- Passionate about driving growth empirically;- Always looking to innovate with data and explore open-ended questions;- Strategically minded and never shies away from a challenge;- Self-motivated and able to work autonomously _and_ collaboratively;- Agile and responsive, and comfortable with constant change.

You will own our analytics infrastructure and be responsible for collecting, managing, and analyzing data to develop insights and recommendations to enable the business to take action and make better decisions.

You will drive new analytics projects, maintain and evolve existing reporting and dashboards, respond to incoming data requests, and implement data best practices and processes for consistency and scalability.

What you’ll work on:
- Partnering with stakeholders, self-serve report creators, data scientists, and data engineers, to create meaningful, intentional data solutions;- Creating and editing data models for users to answer business questions and optimize queries and reports for performance;

What you may have:
- An undergraduate or graduate degree in a relevant quantitative discipline (computing science, statistics, mathematics, etc.);- 3+ years applied experience in business intelligence and/or data modeling;- Proficiency in database modeling, SQL, and data warehousing principles;- Proficiency in understanding business requirements and translating them to data sets in a data warehouse;- Experience with version control concepts and tools (Git);- Experience building data models and sets to be consumed for reporting and analytics using dbt;- Familiar with concepts involving data modeling techniques such as Star schema and knowledge of Normalization/DeNormalization concepts;- Experience building analytics to drive operational efficiency and/or impact revenue (e.g., renewal models, TAM, churn analysis);- Proficiency with data visualization and data storytelling;- Excellent written and verbal communication skills.

Serious bonus points if you:
- Have experience working with Redshift or other cloud data warehouses;- Are an expert translating technical solutions to non-technical stakeholders;- Proven experience with one or several cloud based business intelligence tools, incl. Tableau, PowerBI, and Looker.- Decoupling analytics logic from BI dashboards and create unified data models using dbt that can be used to answer specific business questions;-
- Understanding in-depth functioning of the business and how metrics related to business performance and leveraging your technical expertise and business acumen to make it easy for stakeholders to understand data;- Maintaining and evolving existing reporting and dashboards, responding to incoming data requests, and implementing data best practices and processes for consistency and scalability;- Effectively communicating findings and feedback to technical and non-technical stakeholders;- Working with the Business Intelligence Manager to govern our BI environment to empower our self serve stakeholders leveraging data and dashboards;- Working with the Business Intelligence Manager to proactively identify and resolve gaps in training, learning resources, and other roadblocks preventing stakeholders from leveraging data for decision making;- Working closely with the data engineering team, software developers, and/or 3rd party vendors to turn newly acquired raw data into a report/analysis -ready shape.

What you will find here:
Compensation is one of the main components of Clio’s Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture.

Some highlights of our Total Rewards program include:
- Competitive, equitable salary with top-tier health benefits, dental, and vision insurance- Hybrid work environment,