• Support the implementation of CRS’s Responsible Data Policy and data protection practices across country programs, departments and business units. • Ensure regulatory compliance, embedding privacy principles into operations, and support the rollout of privacy management systems such as OneTrust. • Work closely with country teams, regional advisors, and global stakeholders to assess and mitigate data protection risks, and build capacity in responsible data stewardship. • Promote and support the adoption of privacy by design and default principles in project lifecycles and business processes. • Coordinate the planning, execution, and documentation of Privacy Impact Assessments (PIAs) for new and existing projects, systems, and partnerships.

• Help Midnite make smarter decisions through insight, analysis, and stakeholder partnership. • Sit at the centre of how we understand customer behaviour, retention, product performance, and commercial opportunity. • Work closely with Growth, Product, Commercial, and Trading teams to turn ambiguous business questions into clear analytical frameworks and actionable recommendations that influence real business outcomes. • Shape how analytics supports decision-making across the business.

Role Description We are looking for a Data Analyst to join our Data Warehouse & BI team and help us expand the reach, depth, and operational impact of our modern data platform. This is a hands-on role focused on report development, model expansion, and the ongoing reliability of a production analytics stack that already drives company-wide reporting. You will work closely with stakeholders across the business, including operations, finance, dispatch, inventory, vendor management, and others. You need to be an expert at building and maintaining these relationships. They will help give you the context and information needed to deliver reporting and insights that enhance how the business runs. Our source systems are varied and disparate, with multiple ERPs, each carrying its own schema, conventions, and quirks. A core part of the job is reconciling those differences and producing a sanitized & harmonized view where the business can compare like-for-like across entities and source systems. If you enjoy untangling messy data and turning it into something trustworthy, then this is the place for you. What You Will Do: - Develop, maintain, and extend Power BI reports, dashboards, semantic models, and alerting across finance, operations, inventory, dispatch, and vendor management. - Write and optimize complex SQL against Snowflake to investigate data, build models, and answer business questions. - Build and refactor dbt models that standardize and harmonize data extracted from multiple ERPs into a unified, comparable schema. - Setup the data in a scalable and consumable way to enable the organization to be most well-suited humans and agents. - Reconcile disparate source-system definitions (chart of accounts, item masters, customer and vendor records, transaction types) so the business sees a true apples-to-apples view. - Partner with stakeholders across the business to elicit requirements, understand operational context, and translate business questions into reliable reporting. - Proactively surface findings, anomalies, and improvement opportunities discovered in the data. - Monitor Fivetran connectors, dbt runs, and Power BI refreshes; triage and resolve data quality and pipeline issues. - Respond to ad-hoc data requests that drive business decisions and initiatives. - Document data models, definitions, and report logic so knowledge is shared, not siloed. Qualifications - 2+ years of professional experience as a data analyst, analytics engineer, or BI developer. - Extremely strong SQL skills, including comfort with CTEs, window functions, indexing, stored procedures, performance tuning, and debugging complex joins across large datasets. - Understanding of relational databases and scalable design. - Extremely strong Power BI skills, including: - DAX and data modeling. - Calculation groups. - Alerting and operational enablement, including integration with Power Apps. - Performance tuning, row-level security, and report design best practices. - Familiarity with cloud data warehouses (Snowflake or OneLake preferred) and modern ELT patterns. - Strong written and verbal communication, with the interpersonal skills to build trust and productive working relationships with business stakeholders. - Self-directed and comfortable working remotely and driving work without daily oversight. - Forward-thinking mindset with demonstrated experience using AI tools to enhance and accelerate analytics work, including model development, DAX authoring, documentation, code review, and stakeholder communication. Benefits - 10 Paid Holidays. - Flexible Time Off. - 401(k) Company Match. - Health, Dental, and Vision Insurance. - HSA and FSA. - Disability & Occupational Accident Insurance. - Company-Paid Life Insurance Policy. - Employee Assistance Program (EAP). - World-class paid training program for you to learn the skills for long-term career success.

• Support the Customer Success Analytics team by providing technical expertise to Engagement Managers • Answer analytics questions and improve the code base • Learn about Viaduct’s history and mission • Get to know every team member • Understand Viaduct’s system architecture • Deep dive into the nuances of vehicle data • Attend our weekly company-wide meeting and engineering tech talk • Understand the product roadmap and the pain-points of our customers • Contribute new features to the product • Refactor code, improve test coverage, or automate a manual process during an engineering hack day • Develop rapport with the customers that you support • Support customers on a daily basis to deliver value • Improve the onboarding process for future hires • Present about yourself at the company-wide meeting and showcase your work at the engineering tech talk • Become involved in the recruiting process and help find more amazing people