3 Data Science jobs in New Zealand
Data & Analytics Senior Consultant
Job Viewed
Job Description
Our Purpose
Here at Datacom we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in.
Our Purpose
Here at Datacom we connect people and technology in order to solve challenges, create opportunities and discover new possibilities for the communities we live in.
Our Team
The Data and Analytics team are a progressive group of diverse and creative individuals with a deep love for all things data related. They build platforms and solutions that are leading edge and at the forefront of the technology curve. A close knit and fun team embedded within our rapidly growing Professional Services division, and part of the wider Datacom ecosystem.
About The Role
As a Senior Consultant, you will lead the technical delivery of large-scale data platform and BI solutions. You will be asked to design, implement and own the delivery of robust Data Platform solutions and end-to-end components. The Senior Consultant works closely with principal consultants, practice leads, project managers, and client stakeholders and teams. This is a client facing role, so you'll need to be an excellent communicator and good with people.
What You'll Do
- Working with clients (businesses users) to gather, clarify requirements and business rules by running workshops with stakeholders
- Contribute to the technical architecture, design and delivery for a new data platforms
- Provide overall thought leadership to our clients regarding data profiling and integration recommendations
- Data modelling (relational and dimensional modelling)
- Managing development life cycle using various source code management tools
- Ability to perform performance tuning and optimisation on new and/or existing data warehouse solutions
- Provide detailed documentation, end user training and knowledge-transfer services to customers, and internal teams
- Excellent consultation and stakeholder management skills
- Excellent verbal and written communication skills
- Proven track-record of designing and building modern data platforms
- Advanced skills in Azure, Fabric, and Snowflake pipelines, with experience in tools such as Azure Data Factory, Coalesce, Matillion, dbt, and Fivetran
- Advanced ETL/ELT process design and implementation
- Advanced skills in SQL performance tuning, query plan, query plan analysis, indexing, table partitioning
- Strong skills in cloud platforms such as Azure and AWS
- Strong skills in data platform implementation, configuration, performance and cost management tuning (i.e. Azure, Fabric, Snowflake)
- Strong skills in Power BI and semantic data modelling
- Bachelor's degree in Computer Science or related discipline
- Snowpro and Coalesce certified or Microsoft Azure/Fabric certified data engineer
- Minimum 7+ years' experience in EDW design and implementation
- Minimum 7+ years' experience in ETL architecting and design
- Minimum 7+ years' experience in data modelling (Star schema & Snowflake schema)
- Minimum 5+ years' experience in semantic layer development
- Minimum 5+ years' experience in reporting and visualization tools
- Minimum 5+ years' experience in Power BI
Datacom is one of Australia and New Zealand's largest suppliers of Information Technology professional services. We have managed to maintain a dynamic, agile, small business feel that is often diluted in larger organisations of our size. It's our people that give Datacom its unique culture and energy that you can feel from the moment you meet with us.
We care about our people and provide a range of perks such as social events, chill-out spaces, remote working, flexi-hours and professional development courses to name a few. You'll have the opportunity to learn, develop your career, connect and bring your true self to work. You will be recognised and valued for your contributions and be able to do your work in a collegial, flat-structured environment.
We operate at the forefront of technology to help Australia and New Zealand's largest enterprise organisations explore possibilities and solve their greatest challenges, so you will never run out of interesting new challenges and opportunities.
We want Datacom to be an inclusive and welcoming workplace for everyone and take pride in the steps we have taken and continue to take to make our environment fun and friendly, and our people feel supported. #J-18808-Ljbffr
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However, we have similar jobs available for you below.
Middle SEO Data Science Specialist
Posted 530 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Middle SEO Data Science Specialist
Posted 530 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Middle SEO Data Science Specialist
Posted 530 days ago
Job Viewed
Job Description
AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search;
Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses;
Gather and analyze data from various sources to train and refine predictive models;
Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation;
Collaborate with engineering teams to integrate predictive models into production environments and monitor performance;
Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Must haves
Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field;
3+ years of experience in data science, with a focus on SEO or digital marketing preferred;
Proven track record of developing and implementing predictive models to drive business outcomes;
Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment;
Statistical modeling, particularly regression;
Python for data analysis, modeling, and automation;
Experience with SQL and data wrangling large datasets with Snowflake or similar;
Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc;
Good English and communication skills.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
Competitive compensation
We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
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