Remote Data Jobs • Power BI

Looking for an experienced Econometrician to join the Xero Small Business Insights (XSBI) team, if you are passionate about turning data into meaningful economic insights that help shape public policy and empower small businesses then this role is for you. You’ll work with large, complex datasets and collaborate closely with economists, analysts, and communicators across Xero to deliver trusted, high-impact metrics. This is a 6-month fixed term role and open to remote applicants.

The Data Science Engineer (BI Developer) plays a key role in our company by taking various data sets and creating dashboards telling an impactful story for business leaders. A person in this role should create advanced data models, work with business requirements, complete technical documentation and testing, create stories using BI dashboards, and data-mine big data.

As AI Value Methodology Lead, you will play a critical part in shaping how we understand, measure, and communicate the tangible value generated by artificial intelligence initiatives across the enterprise. The successful candidate will develop and maintain a comprehensive value methodology framework that enables business leaders, technical teams, and executive stakeholders to make data-driven decisions about AI investments.

We’re looking for an experienced Data Analyst with deep expertise in Power BI and SQL to join our multi-disciplinary team. You’ll work directly with clients to turn raw data into clear insights, intuitive dashboards, and high-quality reports that drive decision-making. Candidate should be detail-oriented, communicates clearly, and thrives in a fast-paced consulting environment.

The Power BI developer builds complex dimensional data models and reports from the bottom up, visualizes compelling data stories on the report canvas, collaborates with other teams to engineer revolutionary agency wide data solutions, develops and implements data visualization solutions. They rely on experience and judgment to plan and accomplish goals, and can independently perform a variety of complicated tasks.

Spearhead AI-powered workload automation initiatives and inspire a high-performing team as a Data Engineer Advisor. Lead the design and optimization of advanced database solutions supporting AI-driven workflows. Collaborate cross-functionally to architect scalable, secure, and high-performing data infrastructure. Guide a team of engineers in developing data pipelines using tools like SSIS, SSRS, and SSDT.

Lead the design and delivery of end-to-end BI solutions, from raw data ingestion to curated reporting assets, ensuring scalability, performance, and reusability. Define and implement semantic model strategies across both the backend (dbt-based data marts) and frontend (Power BI datasets, LookML models) to support governed, reusable metrics and dimensions. Build and maintain modular dbt pipelines on modern cloud data platforms such as BigQuery or Databricks.

We are seeking a detail-oriented Data Analyst to join our growing team. As a Data Analyst, you will collaborate with cross-functional teams to derive meaningful insights from complex datasets and drive data-informed decision-making across the organization. You will collect, process, and analyze large datasets to identify trends and patterns, design and maintain regular reporting systems and dashboards and support strategic decision-making through ad-hoc analysis and recommendations.

Assist in data modeling and analysis, having a data-driven, business-oriented mindset in data analytics, including mining, cleansing, and visualization to transform data into goal-oriented reports that drive innovation and growth. Work closely with leaders across care, marketing, product, sales, engineering and IT to support and implement high-quality, data-driven decisions.

This interactive role performs business analysis using various programs including SQL, and Power BI. You'll research best practices and support developing the solutions recommendations for current business operations. Works with internal and external customers to identify analytical requirements based on business requests and needs, turning data into critical information.