Job Description: Data Analyst/Data Engineer (2+ Years\nExperience)<\/span>
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Type: Full\-time<\/span>
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About the Role<\/span>
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We are looking for a highly motivated Data\nAnalyst / Data Engineer with 2+ years of experience in data transformation,\nanalysis, and visualization. The ideal candidate should have a solid\nunderstanding of SQL, data modeling, ETL processes, and business intelligence\ntools.

You will work on designing, building, and optimizing datasets and analytical\nsolutions for e\-learning and business intelligence reporting.<\/span><\/p>

Key Responsibilities<\/span>
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· <\/span><\/span><\/span>Design and develop data\npipelines for ingestion, transformation, and reporting using SQL and Python.<\/span>
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· <\/span><\/span><\/span>Create and maintain analytical\ntables, views, and materialized views for dashboarding and advanced analytics.<\/span>
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· <\/span><\/span><\/span>Perform in\-depth data analysis\nand validation to ensure data integrity and accuracy.<\/span>
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· <\/span><\/span><\/span>Collaborate with stakeholders\nto translate business requirements into technical solutions.<\/span>
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· <\/span><\/span><\/span>Develop interactive dashboards\nand reports using tools like Power BI or Tableau.<\/span>
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· <\/span><\/span><\/span>Optimize database performance\n(indexing, partitioning, query tuning).<\/span>
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· <\/span><\/span><\/span>Work closely with the data\nengineering team to improve ETL workflows and data quality monitoring.<\/span>
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Required Skills & Qualifications<\/span>
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· <\/span><\/span><\/span>2\u20134 years of professional\nexperience in data analytics or data engineering.<\/span>
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· <\/span><\/span><\/span>Strong proficiency in SQL\n(PostgreSQL, MySQL).<\/span>
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· <\/span><\/span><\/span>Experience with ETL tools\n(Airflow, Dataform, or custom Python pipelines).<\/span>
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· <\/span><\/span><\/span>Working knowledge of Python\n(Pandas, NumPy) for data transformation.<\/span>
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· <\/span><\/span><\/span>Experience with data\nvisualization tools such as Power BI<\/span>
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· <\/span><\/span><\/span>Understanding of data modeling\nconcepts (star/snowflake schema).<\/span>
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· <\/span><\/span><\/span>Familiarity with cloud\ndatabases (Azure, GCP) preferred.<\/span>
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· <\/span><\/span><\/span>Strong analytical mindset and\nability to work independently.<\/span>
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Good\-to\-Have<\/span>
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· <\/span><\/span><\/span>Experience with BigQuery, Azure\nData Studio, or dbt.<\/span>
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· <\/span><\/span><\/span>Exposure to API\-based data\nextraction and automation workflows.<\/span>
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· <\/span><\/span><\/span>Knowledge of data governance\nand version control (Git).<\/span>
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· <\/span><\/span><\/span>Interest in LMS analytics,\ne\-learning data, or edtech domain.<\/span>
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What You\u2019ll Gain<\/span>
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· <\/span><\/span><\/span>Opportunity to work on\nend\-to\-end analytics lifecycle \u2014 from data ingestion to visualization.<\/span>
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· <\/span><\/span><\/span>Exposure to enterprise\-level\ndata ecosystems and reporting architectures.<\/span>
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· <\/span><\/span><\/span>Learn modern data engineering\nbest practices and cloud integrations.<\/span>
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· <\/span><\/span><\/span>Work on projects impacting\nlearning outcomes and education insights at scale.<\/span>
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