Job Description

Dozuki empowers the frontline workforce with the expert knowledge, skills, and support they need to perform work safely, and to controlled standards. We enable manufacturing companies to connect their processes, their people, and their platforms to drive frontline digital transformation.

As a Senior Analytics Engineer, you will be responsible for the design and implementation of advanced data models and analytics solutions that drive strategic decision-making across the organization. Your role will involve overseeing the development and optimization of scalable data pipelines, ensuring the integration and transformation of data from a variety of sources. You will collaborate closely with cross-functional teams and customers to understand their data needs and develop thoughtful reports and dashboards to drive insights.

Responsibilities

• Data Discovery and Data Modeling
  • Collaborate with cross-functional teams to understand data requirements and implement solutions for effective data analysis and reporting.
  • Develop and optimize data models to ensure accuracy and efficiency in data transformation processes.
  • Ensure data quality and consistency across all data platforms and tools.
• Data Engineering and Transformation
  • Design, build, and maintain scalable and robust data pipelines using dbt (data build tool).
  • Manage and optimize data integration processes from various sources like Salesforce and Pendo.
• Data Visualization and Insights
  • Create insightful dashboards and visualizations, aiding decision-making processes across the organization.
  • Communicate data insights effectively to stakeholders, translating technical concepts into clear and actionable recommendations.

Required Qualifications

• 5+ years of proven experience in a data engineering or Analytics Engineering role, ideally partnering with product stakeholders.
• Expertise in SQL, Data Warehousing, and ETL optimization techniques, especially within cloud-based data warehouses like Redshift, Snowflake, BigQuery.
• Expertise with data transformation and pipeline tools like dbt and airbyte.
• Expertise with data visualization tools like PowerBI/Tableau/Looker.
• Experience with product analytic tools like Pendo, Amplitude, or Mixpanel.
• Knowledge of data governance and compliance standards.
• Analytically-minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Ability to work in a fast-paced and dynamic environment.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.
• Familiarity with additional programming languages (Python, R).
• Knowledge of machine learning and statistical analysis methods.