Job Description
This is an exciting opportunity to launch your career in a dynamic field, working alongside experienced consultants on impactful projects.
About You
You are someone who:
- Is eager to collaborate with clients to develop tailored data and analytics solutions.
- Enjoys problem-solving and continuously seeks to optimize the use of data.
- Has a strong interest in understanding business challenges and translating them into actionable insights.
- Is seeking a role that supports both personal growth and career development.
- Thrives in a team-oriented environment and is excited to contribute to client success.
- Is committed to learning and staying current with the latest tools and trends in data analytics.
Key Responsibilities
- Data Modeling: Support the design, development, and maintenance of data models to address both internal and client-specific analytics needs.
- ETL Development: Work with data engineers to assist in building efficient ETL/ELT pipelines, transforming raw data into usable datasets.
- Data Transformation: Learn and apply tools like dbt and Matillion for SQL-based transformations to deliver clean, organized datasets for analysis.
- Analytics Solutions: Collaborate with senior consultants and business intelligence teams to ensure seamless integration of analytics tools (e.g., Tableau, Power BI, Looker) with data sources.
- Data Quality & Governance: Help maintain data accuracy through testing and governance protocols.
- Client Engagement: Work with clients under the guidance of senior team members to understand their challenges and contribute to the development of technical solutions.
- Collaboration: Partner with data scientists, data engineers, and business stakeholders to support data-driven decision-making.
- Continuous Improvement: Assist in monitoring the performance of data pipelines and models, looking for opportunities to improve efficiency.
Required Skills & Experience
- A strong academic background in data analytics, computer science, information systems, or a related field.
- Proficiency in SQL and familiarity with data transformation tools (e.g., dbt, Coalesce).
- Exposure to cloud platforms such as Snowflake, BigQuery, Fabric, or Databricks (knowledge from coursework or internships).
- Understanding of ETL/ELT processes.
- Basic skills in building data visualizations and dashboards using tools like Tableau, Power BI, or Looker.
- Strong communication skills, with the ability to explain technical concepts to non-technical audiences.
- Eagerness to learn and a proactive approach to tackling new challenges.
Bonus Skills
- Experience or coursework in machine learning or advanced data science techniques.
- An interest in creating intuitive data visualizations that tell compelling stories.
- Familiarity with data governance, ensuring data quality and security.
Required Qualifications
- A recent graduate with a relevant degree (Data Analytics, Computer Science, Information Systems, or a similar field).
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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