Marketing Data Science Manager at Superloop

Colombo, Western Province, Sri Lanka -

Full Time

Start Date

Immediate

Expiry Date

30 Mar, 26

Salary

0.0

Posted On

30 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Customer Segmentation, Predictive Modelling, Attribution Modelling, Data Visualisation, A/B Testing, Campaign Measurement, SQL, Python, R, BI Tools, Google Analytics, Marketing Automation, Personalisation Technologies, Clustering, Funnel Analysis, Cross-Border Collaboration

Industry

Telecommunications

Description

Company Overview Founded in 2014, and listed on the ASX since 2015, Superloop’s purpose is to enable better internet for Australian homes and businesses, by enabling challenger retail brands to take a larger share of the market, leveraging Superloop’s Infrastructure-on-Demand platform. Superloop operates in three segments of the market: consumer connectivity, business network and security solutions, and wholesale connectivity, all of which leverage Superloop’s investments in physical infrastructure assets including fibre, subsea cables and fixed wireless, as well as Superloop’s software platforms. Hundreds of thousands of homes and businesses rely on Superloop every day for their connectivity needs. Visit www.superloop.com to learn more. Business Unit Overview Our Operations unit is the engine room of Superloop - responsible for maintaining and supporting all of our products and internal technical infrastructure to ensure the best possible service to both our customers and our very own business. Our Operations unit is responsible for ensuring that the business has the technical capability and capacity to deliver services to all Superloop customers ranging from Home Broadband to International Wholesale. Role Purpose We are seeking an experienced Marketing Data Science Manager to join our offshore Marketing Effectiveness team based in Sri Lanka. This role will lead the delivery of data-driven insights to enhance campaign performance, customer segmentation, and ROI tracking, supporting marketing strategy and business growth., and a passion for driving results through data-driven insights. Key Responsibilities •Build and manage customer segmentation models to support targeted marketing and product strategies. •Develop predictive models to forecast customer churn, conversion, and lifetime value. •Conduct attribution modelling to understand marketing channel effectiveness. •Design dashboards and data visualisations for marketing KPIs and ROI reporting. •Support A/B testing, uplift modelling, and campaign measurement frameworks. •Collaborate with stakeholders across Marketing, Product, and Data teams in Australia. •Contribute to the evolution of AI-driven personalisation and lead scoring models. •Identify opportunities to optimise media budget allocation through data. Qualifications and Experience •Bachelor’s degree in statistics, mathematics, data science, computer science, or a related field. •5–10 years of experience in marketing analytics or data science, ideally for telco, B2C, or subscription-based businesses. •Strong command of SQL, Python or R, and BI tools (e.g., Power BI, Tableau). •Familiarity with Google Analytics, Adobe Journey Optimiser / Target or /CDP, or similar marketing platforms. •Experience with predictive modelling, clustering, attribution models, and funnel analysis. •Comfortable working in cross-border teams with clear communication and project ownership. •Exposure to AI/ML, marketing automation, or personalisation technologies is a plus. At Superloop, we’re dedicated to creating a supportive and inclusive workplace where everyone feels safe, valued, and empowered to be who they are. We actively embrace diversity and celebrate the unique backgrounds, perspectives, and experiences of our team members. As an equal opportunity employer, we welcome applicants from all backgrounds to apply, regardless of gender, age, faith, ethnicity, nationality, sexuality, neurodiversity, or physical ability. We’re committed to ensuring that our hiring processes are accessible and inclusive for everyone interested in joining Superloop.

Responsibilities

The Marketing Data Science Manager will lead the delivery of data-driven insights to enhance campaign performance and customer segmentation. They will also develop predictive models and conduct attribution modelling to understand marketing channel effectiveness.