qode.world
Data Analyst
🇺🇸 New Jersey, NJ
🕑 Full-Time
💰 TBD
💻 Data Science
🗓️ August 26th, 2025
Looker
Power BI
Python
Edtech.com's Summary
Qode is hiring a Data Analyst to collect, clean, and analyze datasets from various sources and design dashboards, reports, and visualizations using BI tools. The role involves developing SQL queries, performing exploratory data analysis, collaborating with stakeholders, supporting KPI monitoring, and contributing to predictive analytics initiatives.
Highlights
- Collect, clean, and analyze structured and unstructured data from databases, cloud storage, APIs, and spreadsheets
- Design and build dashboards, reports, and visualizations using BI tools such as Looker, Tableau, Power BI, and Data Studio
- Develop and maintain SQL queries, scripts, and data pipelines
- Perform exploratory data analysis, descriptive statistics, and trend analysis to identify business patterns
- Collaborate with product, business, and engineering teams to translate requirements into data insights
- Support KPI definition, monitoring, and reporting to track business performance
- Ensure data integrity, accuracy, and governance across reports and dashboards
- Recommend improvements in data collection, quality, and reporting automation
- Contribute to predictive and prescriptive analytics initiatives by preparing data for data science teams
- Requires bachelor's degree in Data Analytics, Statistics, Computer Science, Engineering, or related field with 2–5 years of experience; proficiency in SQL, BI tools, Excel/Google Sheets; experience with cloud platforms and Python/R is a plus
Data Analyst Full Description
Key Responsibilities
- Collect, clean, and analyze structured and unstructured datasets from multiple sources (databases, cloud storage, APIs, spreadsheets).
- Design and build dashboards, reports, and visualizations using BI tools (e.g., Looker, Tableau, Power BI, Data Studio).
- Develop and maintain SQL queries, scripts, and pipelines to extract and transform data for analytics use cases.
- Perform exploratory data analysis (EDA), descriptive statistics, and trend analysis to identify business patterns and opportunities.
- Collaborate with stakeholders across product, business, and engineering teams to translate requirements into data insights.
- Support KPI definition, monitoring, and reporting to track business performance.
- Ensure data integrity, accuracy, and governance across reports and dashboards.
- Recommend improvements in data collection methods, data quality, and reporting automation.
- Contribute to predictive and prescriptive analytics initiatives by preparing data and assisting data science teams.
Required Qualifications
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, or related field.
- 2–5 years of professional experience in data analytics or business intelligence.
- Strong proficiency in SQL for querying and data manipulation.
- Experience with data visualization tools (Looker, Tableau, Power BI, or Data Studio).
- Proficiency in Excel / Google Sheets for quick analysis and reporting.
- Strong understanding of data modeling, KPIs, and metrics tracking.
- Experience with cloud platforms (Google Cloud, AWS, or Azure) is a plus.
- Familiarity with Python/R for data analysis preferred.
- Excellent problem-solving, analytical thinking, and communication skills.
