Join Our Team

Build Your CareerWith Strategy DataMetriX

Join a team of innovative data scientists, analysts, and strategists who are transforming how businesses understand and engage with their customers. We're looking for passionate individuals ready to make an impact.

Why Strategy DataMetriX

Why Join Our Team?

We're more than just a workplace – we're a community of innovators, problem-solvers, and data enthusiasts committed to excellence.

Innovation First

Work with cutting-edge technologies and methodologies in data science, AI, and predictive analytics.

Collaborative Culture

Join a diverse team of experts who value collaboration, knowledge sharing, and continuous learning.

Career Growth

Access professional development programs, mentorship opportunities, and clear career progression paths.

Global Impact

Work on projects that influence major brands and businesses across multiple industries worldwide.

Work-Life Balance

Flexible working arrangements, remote options, and a culture that respects your personal time.

Recognition & Rewards

Competitive compensation, performance bonuses, and recognition programs for outstanding contributions.

Employee Benefits

Comprehensive Benefits Package

We invest in our people with a complete benefits package designed to support your health, growth, and well-being.

Health & Wellness

  • Comprehensive health insurance
  • Dental and vision coverage
  • Mental health support
  • Gym membership

Financial Benefits

  • Competitive salary
  • Performance bonuses
  • Retirement plans
  • Stock options

Time Off

  • Generous PTO policy
  • Paid holidays
  • Parental leave
  • Sabbatical options

Learning & Development

  • Training programs
  • Conference attendance
  • Online courses
  • Certification support

Work Flexibility

  • Remote work options
  • Flexible hours
  • Hybrid arrangements
  • Modern office spaces

Perks & More

  • Team events
  • Free snacks & drinks
  • Tech equipment
  • Commuter benefits
Open Positions

Join Our Growing Team

Explore exciting opportunities across different departments and find your perfect role.

Senior Data Scientist

Data ScienceFull-time
Sydney, Australia / Remote

Join our elite data science team to lead advanced analytics projects that transform consumer behavior data into actionable business strategies. You will design and implement sophisticated machine learning models, conduct deep statistical analysis, and collaborate with cross-functional teams to deliver insights that drive strategic decision-making. This role offers the opportunity to work with cutting-edge technologies and massive datasets while mentoring junior team members and shaping our analytical methodologies. You will be at the forefront of innovation, developing predictive models that directly impact our clients' business growth and market positioning.

Key Requirements:

  • Master's or PhD in Data Science, Statistics, Computer Science, or related quantitative field
  • 5+ years of hands-on experience in data science, machine learning, or advanced analytics roles
  • Expert-level proficiency in Python, R, and SQL with strong programming fundamentals
  • Deep understanding of machine learning algorithms, statistical modeling, and data mining techniques
  • Proven experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP)
  • Strong communication skills with ability to present complex findings to non-technical stakeholders
  • Experience leading projects and mentoring junior data scientists
  • Track record of delivering business impact through data-driven solutions

Machine Learning Engineer

EngineeringFull-time
Melbourne, Australia / Remote

We are seeking a talented Machine Learning Engineer to build and deploy scalable ML systems that power our analytics platform. You will work on designing robust machine learning pipelines, optimizing model performance, and implementing production-ready solutions that process millions of data points daily. This role combines software engineering excellence with machine learning expertise, requiring you to collaborate closely with data scientists to transform research prototypes into production systems. You will have the opportunity to work with state-of-the-art ML frameworks, contribute to our technical architecture, and solve challenging problems at the intersection of engineering and artificial intelligence.

Key Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
  • 3+ years of experience in machine learning engineering or software development with ML focus
  • Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
  • Solid understanding of software engineering principles, design patterns, and best practices
  • Experience building and deploying ML models in production environments
  • Proficiency with containerization (Docker, Kubernetes) and CI/CD pipelines
  • Knowledge of distributed computing and cloud infrastructure
  • Excellent problem-solving abilities and attention to code quality

Data Engineer

EngineeringFull-time
Brisbane, Australia / Remote

As a Data Engineer, you will design and maintain the robust data infrastructure that powers our analytics platform. You will build scalable ETL pipelines, optimize data warehouses, and ensure data quality and reliability across our systems. This role requires expertise in data architecture, database design, and big data technologies. You will work closely with data scientists and analysts to understand their data needs and create efficient solutions that enable fast, reliable access to critical business data. Your work will directly impact the performance and scalability of our analytics capabilities, supporting our mission to deliver real-time insights to enterprise clients.

Key Requirements:

  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 3+ years of experience in data engineering, database development, or related roles
  • Strong proficiency in SQL and experience with relational and NoSQL databases
  • Hands-on experience with ETL tools and data pipeline frameworks (Airflow, Luigi, etc.)
  • Knowledge of data warehousing concepts and cloud data platforms (Snowflake, Redshift, BigQuery)
  • Programming skills in Python or Java for data processing tasks
  • Understanding of data modeling, schema design, and optimization techniques
  • Strong analytical and troubleshooting skills

Business Intelligence Analyst

AnalyticsFull-time
Sydney, Australia

Join our analytics team as a Business Intelligence Analyst to transform complex data into clear, actionable insights that drive business decisions. You will create compelling visualizations, develop interactive dashboards, and conduct in-depth analysis to uncover trends and opportunities in consumer behavior data. This role requires a blend of technical skills and business acumen, as you will work directly with clients to understand their needs and deliver customized reporting solutions. You will use advanced BI tools to tell data stories that influence strategic planning and operational improvements. Your insights will help our clients optimize their marketing strategies, improve customer engagement, and achieve measurable business growth.

Key Requirements:

  • Bachelor's degree in Business Analytics, Statistics, Economics, or related field
  • 2+ years of experience in business intelligence, data analysis, or related roles
  • Advanced proficiency in BI tools such as Tableau, Power BI, or Looker
  • Strong SQL skills for data extraction and manipulation
  • Experience creating dashboards, reports, and data visualizations
  • Excellent analytical thinking and problem-solving abilities
  • Strong communication skills with ability to present findings to business stakeholders
  • Understanding of business metrics, KPIs, and performance measurement

Junior Data Analyst

AnalyticsFull-time
Perth, Australia / Remote

Start your career in data analytics with our growing team! As a Junior Data Analyst, you will support our analytics projects by collecting, processing, and analyzing data to generate insights about consumer behavior and market trends. You will learn from experienced analysts while contributing to real client projects, developing your skills in data analysis, visualization, and statistical methods. This role offers excellent growth opportunities and hands-on experience with industry-leading tools and methodologies. You will work on diverse projects across multiple industries, gaining exposure to various analytical techniques and business contexts. We provide comprehensive training and mentorship to help you develop into a skilled data professional.

Key Requirements:

  • Bachelor's degree in Statistics, Mathematics, Economics, Business Analytics, or related field
  • 0-2 years of experience in data analysis or related internships
  • Basic proficiency in SQL and Excel for data manipulation
  • Familiarity with statistical concepts and data analysis techniques
  • Experience with data visualization tools (Tableau, Power BI) is a plus
  • Strong attention to detail and accuracy in work
  • Excellent learning attitude and willingness to develop new skills
  • Good communication skills and ability to work in a team environment

Product Manager - Analytics

ProductFull-time
Sydney, Australia

Lead the development of our analytics products as a Product Manager, bridging the gap between technical capabilities and customer needs. You will define product strategy, prioritize features, and work with engineering and design teams to deliver innovative analytics solutions that delight our clients. This role requires a deep understanding of both data analytics and product management principles. You will conduct market research, gather customer feedback, and translate business requirements into product specifications. Your strategic vision will shape the future of our platform, ensuring we deliver cutting-edge analytics capabilities that solve real business problems and maintain our competitive advantage in the market.

Key Requirements:

  • Bachelor's degree in Business, Computer Science, or related field; MBA is a plus
  • 4+ years of product management experience, preferably in analytics or SaaS products
  • Strong understanding of data analytics, business intelligence, and related technologies
  • Proven track record of successfully launching and managing products
  • Excellent stakeholder management and communication skills
  • Experience with agile development methodologies and product management tools
  • Analytical mindset with ability to make data-driven decisions
  • Customer-focused approach with strong business acumen

UX/UI Designer

DesignFull-time
Melbourne, Australia / Remote

Shape the user experience of our analytics platform as a UX/UI Designer, creating intuitive interfaces that make complex data accessible and actionable. You will conduct user research, design wireframes and prototypes, and collaborate with product and engineering teams to deliver beautiful, functional designs. This role requires a passion for user-centered design and an understanding of how to present data visualizations effectively. You will work on challenging design problems, balancing aesthetics with usability to create experiences that empower users to extract insights from data effortlessly. Your designs will directly impact how thousands of users interact with our platform daily, making data analysis more intuitive and efficient.

Key Requirements:

  • Bachelor's degree in Design, HCI, or related field, or equivalent practical experience
  • 3+ years of experience in UX/UI design, preferably for data-heavy or analytics products
  • Strong portfolio demonstrating user-centered design process and outcomes
  • Proficiency in design tools such as Figma, Sketch, or Adobe Creative Suite
  • Experience with user research methods, usability testing, and design thinking
  • Understanding of data visualization principles and best practices
  • Knowledge of front-end technologies (HTML, CSS) is a plus
  • Excellent collaboration and communication skills

Customer Success Manager

Customer SuccessFull-time
Sydney, Australia

As a Customer Success Manager, you will be the trusted advisor to our enterprise clients, ensuring they maximize value from our analytics platform. You will build strong relationships, understand client objectives, and guide them through onboarding, adoption, and ongoing optimization of our solutions. This role combines technical knowledge with exceptional interpersonal skills, as you will conduct training sessions, provide strategic recommendations, and advocate for customer needs internally. You will monitor client health metrics, identify expansion opportunities, and work proactively to ensure high satisfaction and retention rates. Your success will be measured by client outcomes, product adoption, and long-term partnership growth.

Key Requirements:

  • Bachelor's degree in Business, Communications, or related field
  • 3+ years of experience in customer success, account management, or related client-facing roles
  • Strong understanding of analytics, data products, or SaaS solutions
  • Excellent relationship-building and communication skills
  • Proven ability to manage multiple client accounts and priorities
  • Experience with CRM systems and customer success platforms
  • Problem-solving mindset with focus on customer satisfaction
  • Ability to understand technical concepts and explain them to non-technical audiences

Don't See Your Role?

We're always looking for talented individuals. Send us your resume and let us know how you can contribute to our mission.

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Strategy DataMetriX Logo

Transform consumer insights into growth with advanced data science and behavioral analytics. We help businesses unlock the power of their data.

Get in Touch

Address

Adelaide Victoria Park
Level 2/161 Fullarton Rd
Dulwich SA 5065, Australia

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