Key Facts

Remote From:

Full time

English

Hard Skills

Machine Learning SQL (Programming Language) ETL (Extract Transform Load) Python (Programming Language) Advanced Analytics Analytical Dashboard A/B Testing Root Cause Analysis Predictive Analytics KPI Management Data Warehouse Architectures Relational Databases Data Lakes AWS Glue Semi-Structured Data Data Validation Apache Airflow Apache Kafka AWS Cloud Services Tableau (Business Intelligence Software) Unstructured Data Docker (Software) Market Segmentation Exploratory Data Analysis Data Cleansing Application Monitoring Google Cloud Platform (GCP) Microsoft Azure Report Generators Data Modeling Statistics Data Mart Apache Spark Data Quality Data Visualization Power BI CI/CD Performance Systems Analysis Git (Version Control System) Artificial Intelligence Scala (Programming Language) Amazon S3 Amazon Redshift Model Building Cross-Functional Collaboration Stakeholder Communications

Other Skills

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Microsoft Excel
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Collaboration
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Communication
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Analytical Thinking
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Detail Oriented
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Problem Solving

Roles & Responsibilities

Proficient in SQL, Excel, and Python
Hands-on with BI tools: Power BI, Tableau, or Looker
Understanding of statistical concepts and data visualization best practices
Experience with relational databases and basic ETL

Requirements:

Write and optimize complex SQL queries to extract and manipulate data
Create interactive reports and dashboards using Power BI / Tableau
Interpret KPIs and provide insights that influence strategy
Collaborate with cross-functional teams on analytics initiatives

Job description

This is a remote position.

1. Job Title: Data Analyst

Role Overview: We're seeking a detail-oriented Data Analyst to translate complex data into actionable insights. You will collaborate with stakeholders to analyze trends, build dashboards, and support data-driven decision-making across business units.

Responsibilities: Write and optimize complex SQL queries to extract and manipulate data. Create interactive reports and dashboards using Power BI / Tableau. Perform data cleaning, exploration, and descriptive analytics. Interpret KPIs and provide insights that influence strategy. Collaborate with cross-functional teams on analytics initiatives. Perform A/B testing, customer segmentation, and root cause analysis.

Required Skills: Proficient in SQL, Excel, Python. Hands-on with BI tools: Power BI, Tableau, or Looker. Understanding of statistical concepts, data visualization best practices. Experience working with relational databases, basic ETL knowledge.

2. Job Title: Data Engineer

Role Overview: We are hiring a Data Engineer to architect, build, and maintain reliable and scalable data pipelines. You’ll be instrumental in building a modern data infrastructure and ensuring smooth flow of data across systems.

Responsibilities: Design and develop robust ETL/ELT pipelines for large-scale data processing. Work with structured and unstructured data across multiple sources. Build and maintain data lakes, data warehouses, and data marts. Implement data validation, quality checks, and monitoring frameworks. Collaborate with analysts, scientists, and engineering teams.

Required Skills: Strong in SQL, Python or Scala. Hands-on with Apache Airflow, Kafka, Spark, or similar tools. Experience with AWS (Glue, Redshift, S3) or Azure/GCP equivalents. Solid understanding of data modeling, performance tuning. Familiarity with Docker, Git, CI/CD for data jobs.

3. Job Title: Data Scientist

Role Overview: We’re looking for a highly analytical and innovative Data Scientist to develop machine learning models, uncover insights, and solve real-world problems using data. If you're passionate about predictive analytics and AI, this role is for you!