Senior Consultant - Data & Analytics (Open)

Are you a seasoned data analytics professional who excels in developing data-driven solutions? Do you have a passion for leading transformational initiatives that deliver measurable business success? If solving complex challenges and driving innovative outcomes excites you, Synogize wants to meet you!

We're seeking a Senior Consultant with a deep understanding of Data & Analytics to join our dynamic team in Melbourne/Sydney. To be considered, candidates must have full working rights in Australia and at least 5+ years of industry experience in Data & Analytics.

About You

You are someone who:

• Collaborates closely with clients, designing tailored analytics strategies to solve complex business challenges.
• Leads technical problem-solving efforts, optimizing data to deliver impactful insights.
• Transforms business needs into actionable data models that drive strategic decision making.
• Is excited by the opportunity to mentor junior team members and play a key role in company growth.
• Delivers outstanding client results with tangible business value.
• Is dedicated to continuous improvement and keeps up with the latest tools and trends in data analytics.

Key Responsibilities

• Data Modeling & Architecture: Design, build, and maintain scalable data models that meet both client and internal needs.
• ETL Development: Oversee the development of robust ETL/ELT pipelines, transforming raw data into structured, analyzable datasets.
• Data Transformation: Lead SQL based transformations using tools like dbt and Coalesce, delivering clean datasets for analysis.
• Analytics Solutions: Integrate and manage analytics platforms (e.g., Tableau, Power BI, Looker) with data sources, working closely with BI and data teams.
• Data Quality & Governance: Implement data governance frameworks to ensure data accuracy and integrity.
• Client Leadership: Guide clients through technical challenges and deliver high impact solutions that meet business goals.
• Cross functional Collaboration: Work with data scientists, engineers, and business stakeholders to drive data driven decision making.
• Performance Optimization: Monitor and improve the scalability and performance of data models and pipelines.

Required Skills & Experience

• Advanced SQL expertise (5+ years) with strong experience in complex queries, stored procedures, and managing large datasets.
• Hands on experience with cloud platforms like Snowflake, BigQuery, Fabric, or Databricks.
• Mastery of ETL/ELT processes and modern data transformation tools (e.g., dbt, Coalesce).
• Expertise in creating compelling data visualizations using tools like Tableau, Power BI, or Looker.
• Excellent communication skills, capable of explaining complex technical concepts to non technical stakeholders.
• Proven ability to deliver real time analytics solutions in dynamic environments.

Bonus Skills

• Machine learning or advanced data science techniques.
• Passion for data storytelling and creating engaging visualizations.
• Experience in data governance and ensuring data security, quality, and accuracy.

Required Qualifications

• Must hold a valid permanent work visa, permanent residency, or Australian citizenship.
• Bachelor's or Graduate's Degree in Information Technology, Computer Science, Computer Engineering, Software Engineering, Applied math, Statistics, Physics, or equivalent experience.