Data Analyst

About DysrupIT

DysrupIT is a consulting-led technology firm. We help mid-market to enterprise businesses solve business problems through technology, whether that’s consulting, execution, managed services, or staff augmentation, we take accountability for the outcome. We are dedicated to making a positive impact in the communities we serve.

Company Culture

At DysrupIT, success isn’t measured in headcount placed or hours billed, it’s measured in outcomes delivered. We’re a team that takes ownership of the work, stays curious about problems beyond our immediate scope, and builds relationships meant to grow, not just renew or end. We invest in our people with the training and support they need to grow their careers, and we back a culture where everyone, regardless of role, is encouraged to notice opportunities, ask one more question, and help lead the story for our clients, not just deliver it.

Job Summary

We are looking for a Data Analyst to gather, analyse and solve problems related to data, data types and the relationships between data elements within business and IT systems. You will bring both data and business domain expertise, showing how business workflows map to data and how data can be integrated to build reusable data products.

You will act as a subject matter expert for delivery teams, working with business and technical stakeholders to guide data management, data quality and data foundation initiatives.

Job Responsibilities

Understand how the business uses data and gather stakeholder requirements to support work processes and strategic business objectives.

Work with business teams (digital platform, business units and function teams) and delivery teams to provide data management direction for data foundation initiatives and data product development.

Analyse current data management processes, practices and tools, and help shape future needs.

Contribute to the design of common information models.

Assess data quality issues specific to the workflow solutions being adopted and drive mitigation activities.

Advise on appropriate data integration patterns, data modelling and data quality.

Maintain and share knowledge of requirements, key data types, data definitions, data stores and data creation processes.

Qualifications

Familiarity with technologies such as Azure SQL, Python and Power BI.

Experience with data catalogue and lineage tools such as Microsoft Purview.

Strong data fluency and knowledge of data modelling techniques.

Ability to choose and apply the right data visualisation techniques for different audiences.

Fundamental knowledge of Information Risk Management (IRM).

Knowledge or experience in cloud computing, data collection, cleaning and preparation, business process and data modelling, data strategy, policies and governance.

Proven ability to act as the link between stakeholder groups (such as IT and business) to gather, express and clarify requirements, align goals and expectations, and deliver work products.

Nice to Have

Knowledge of finance data.

Experience with SAP.

What We Offer

Competitive compensation package commensurate with experience.

Government-mandated benefits plus supplemental HMO coverage.

Collaborative and professional work environment.

Career growth opportunities within a growing organization.

Hybrid work arrangement.