Data Analytics EngineerSee all recent Jobs

We are looking for an Analytics Engineer who combines a strong foundation in machine learning and predictive analytics with the practical mindset of a data engineer. The role revolves primarily around building and operationalising predictive workflows using the Alteryx platform, while also handling data preparation and pipeline design as needed. This is a junior-to-mid profile, we value hands-on familiarity with Alteryx or equivalent platforms, and a genuine curiosity for applied AI & ML. Over time, the role offers a clear growth path into broader data platform technologies such as Qlik Talend Cloud, Snowflake, Microsoft Fabric, and Databricks.

Key Responsibilities

• Design, develop, and operationalize predictive & ML workflows using Alteryx (regression, classification, clustering, time series, and more)

• Build and maintain Alteryx data preparation and integration workflows to support analytics and reporting needs

• Take full ownership of Alteryx-related workstreams from design through to delivery and client handover

• Communicate directly with clients during project execution to understand requirements and ensure quality outcomes

• Collaborate with data engineering and analytics teams on end-to-end data solutions

• Document workflows, models, and outcomes to ensure maintainability and knowledge transfer

• Utilize Git for version control and collaboration

Qualifications

• Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, or a related quantitative field

• Hands-on experience with Alteryx Designer, particularly Predictive Tools – experience with equivalent data or ML platforms will also be considered

• Solid understanding of Machine Learning fundamentals (supervised/unsupervised learning, model evaluation, feature engineering) and applied statistics

• Data engineering mindset: ability to design structured data flows and pipelines, not just apply models

• Strong communication skills and ability to manage client-facing interactions during project delivery

• Proactive attitude, ownership mindset, and comfort working in a consulting environment

• Strong SQL skills

• Experience using Git for versioning & collaboration

• Alteryx Designer Core or Advanced certification is a plus

• Familiarity with Python or R for data analysis and modelling is a plus

• Experience with complementary platforms such as Qlik Talend Cloud, Snowflake, Microsoft Fabric, or Databricks is a plus

• Experience with dbt for SQL-based transformations is a plus

• Familiarity with CI/CD pipelines for data workflows is a plus

• Understanding of Semantic Model design is a plus

• Ability to build analytical dashboards in Power BI or Qlik Analytics is a plus

Benefits

• Private health insurance
• Unlimited access to a workplace wellness and support platform
• Continuous learning and career development opportunities
• Opportunity to work on large-scale core banking systems using modern technologies
• Friendly, collaborative, and professional working environment

About UpcoMinds

UpcoMinds is a dynamic IT company with 28 years of experience delivering end-to-end web and mobile solutions that help businesses reinvent themselves in the digital world.

Our team’s expertise ensures the holistic digital transformation of organizations, significantly enhancing both business operations and customer experience.

We are committed to delivering products and services that reflect strong engineering excellence and modern design aesthetics. We firmly believe in building long-term strategic partnerships with our clients by exceeding expectations and maintaining transparency at every stage.

Learn more about us at www.upcominds.com

We are committed to promoting Inclusion & Diversity by fostering a workplace where all employees are treated with dignity and respect, and where individual differences are valued. We provide equal opportunity in all aspects of employment.

Our recruitment consultants will review your CV as soon as possible and contact you to discuss the role. If you do not hear from us within ten (10) working days, please consider that you have not been selected for this specific position. Your CV will be retained for two (2) years in accordance with GDPR regulations.