Associate Data Analyst – I

Remote | Pakistan

Full Time | Pacific Time

About the job role:

Our Product: Ejento, built by Data Science Dojo, is a cutting-edge RAG platform that enables LLM application developers to build retrieval-augmented generation (RAG)-based applications efficiently. As we scale our platform, ensuring security, privacy, and regulatory compliance is a top priority. We are committed to implementing robust security frameworks to protect data, ensure compliance, and mitigate risks in AI-driven environments.

Job Role: We are seeking an Associate Data Analyst – I to support the development of data-driven solutions that turn complex information into clear, actionable insights. In this role, you will design interactive dashboards, conduct in-depth data analysis, and work closely with internal teams and clients to understand business needs. You will gain hands-on experience in manipulating large datasets, identifying trends, and delivering insights that contribute to smarter decision-making and improved organizational outcomes. This is an excellent opportunity to kickstart your data analytics career in a collaborative, fast-paced environment.

What you will do:

  • Develop dynamic and interactive dashboards and reports using diverse data sources 
  • Collaborate with clients to understand their data needs and translate requirements into appropriate dashboards to effectively convey data findings. 
  • Coordinate ETL processes and liaise with engineering teams to optimize data workflows,  
  • Applying complex data manipulations, cleaning, and transformation on large datasets. 
  • Extract actionable insights from data trends within dashboards and reports. 
  • Utilize automation tools for optimizing data processing tasks and developing user-friendly interfaces. 
  • Integrate various AI services to enhance data analytics capabilities and glean insights from unstructured data.

What we are looking for:

  • Pursuing or having completed a degree in Computer Science, Mathematics, Statistics, or a related field  
  • Experience with data visualization tools such as Tableau, Power BI, or matplotlib for creating visualizations and reports. 
  • Experience working with different data sources including relational databases (SQL, MySQL), cloud platforms (Azure, AWS), Excel files, CSV files 
  • Basic understanding of data engineering concepts: data modeling, ETL, data warehousing. 
  • SQL skills for querying and manipulating relational databases 
  • Proficiency in Python, or any other programming language, for data manipulation and visualization (NumPy, Pandas, Matplotlib, Seaborn)  
  • Strong analytical and problem-solving skills with the ability to work with large, complex datasets. 
  • Robust organizational skills for multitasking and attention to detail; ensuring high-quality work. 
  • Quick learning and adaptability to new technologies. 
  • Willingness for further training and certifications, with a commitment to continuous learning in data science and analytics techniques and technology. 
  • Effective communication of technical concepts and collaboration with team members. 
  • Interest in data and technology and eagerness to apply data analysis skills to real-world problems.

Nice to have: 

  • Certifications in Azure Fundamentals (AZ-900), Azure AI Fundamentals (AI-900), or Microsoft Power BI Data Analyst (PL-300) 
  • Knowledge of data processing technologies (Apache Spark, Hadoop, AWS Glue). 
  • Experience with machine learning techniques and libraries such as scikit-learn, TensorFlow, or PyTorch. 
  • Experience integrating Power BI with other Microsoft products and services 
  • Ability to conduct in-depth data analysis using Power BI with experience publishing reports and dashboards to Power BI Service 
  • Strong proficiency in writing DAX formulas for creating calculated columns, measures, and complex calculations to derive insights from data

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