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Data analysts have numerous skills that are easily transferable to a role as a data scientist, including the following:

  • Ability to interpret data and translate it into business solutions
  • Understanding of how to design data collection and analysis methods and processes
  • Knowledge of how to identify patterns and trends in data
  • Understanding of data analysis software
  • Ability to develop, implement and maintain data infrastructure
  • Understanding of how to create data visualisations and reports

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Three people are gathered around a table in a dimly lit room, with a large screen displaying a blue, circuit-board-like brain graphic behind them.

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Stage

Customer Goal

Key Touchpoints

Metrics to Track

Awareness

Customer first encounters a brand, product, or service through paid media, organic search, word of mouth, or social media

SEO/SEM, social media ads, content marketing, influencer partnerships, PR

Impressions, reach, organic traffic, brand search volume

Consideration

Customer actively researches and compares options, seeking proof of relevance and credibility

Review platforms, comparison content, case studies, email nurturing, retargeting

Time on site, pages per session, email open rates, return visits

Decision

Customer makes the purchase or conversion decision based on trust, value perception, and ease of process

Clear CTAs, frictionless checkout or sign-up, personalised offers, live chat, testimonials

Conversion rate, cart abandonment rate, cost per acquisition

Retention

Post-purchase engagement to build loyalty, reduce churn, and grow customer lifetime value

Onboarding flows, customer success, loyalty programmes, personalised follow-up, satisfaction surveys

Repeat purchase rate, NPS, customer lifetime value, churn rate

Advocacy

Satisfied customers become active promoters, generating referrals and user-generated content

Referral programmes, community building, review requests, co-creation, exclusive member benefits

Referral rate, NPS, social shares, user-generated content volume

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If you are looking to transition from a data analyst to a data science career, one of the most efficient ways to do so is through a formal education program, such as one of those offered by the University of New South Wales (UNSW).

UNSW Online’s Master of Data Science program offers working professionals the ability to learn data science flexibly, without disrupting their careers. This program equips you with comprehensive, in-demand foundational skills, as well as the opportunity to specialise in areas like machine learning, database systems, or statistics based on your career goals.

Watch Boost your credentials with a UNSW Sydney Online Master's on YouTube.

Data science is an in-demand field that offers high pay and strong employability. Get the skills and knowledge you need to transform your career path and make a successful transition into the field with UNSW Online.

To learn more about UNSW’s Master of Data Science, get in touch with our Enrolment team on 1300 974 990.

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