Data Analyst

Company Description
Jobs for Humanity is partnering with test_june10 to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.

Company Name: test_june10

Job Description
We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team. In this role, you will be at the forefront of transforming raw data into strategic business assets. You will work with large, complex datasets using cutting-edge tools like SQL, Python, and Tableau to uncover trends, optimize processes, and drive measurable business outcomes. If you are passionate about data storytelling and thrive in a fast-paced, results-driven environment, this is the opportunity for you.
Job Purpose
The primary purpose of this role is to collect, process, analyze, and interpret large datasets to uncover actionable insights that drive data-informed business decisions and strategic initiatives. The Data Analyst will ensure data accuracy, streamline reporting processes, and deliver high-impact analyses that empower stakeholders across the organization.
Job Duties and Responsibilities
Collect, process, and clean large datasets from multiple sources to ensure data integrity and accuracy
Perform statistical analysis and exploratory data analysis to identify trends, patterns, and anomalies
Deliver 5+ actionable insights per sprint to support data-informed business decisions
Build and maintain 3+ automated dashboards using Tableau and Power BI for real-time performance monitoring
Design and manage ETL processes to streamline data pipelines and improve data accessibility
Reduce reporting turnaround time by 20% through process optimization and automation
Apply machine learning basics to enhance predictive analytics and forecasting capabilities
Collaborate with cross-functional teams to understand business needs and translate them into analytical requirements
Present findings and recommendations to stakeholders, achieving 90% satisfaction on analyses delivered
Monitor and improve data accuracy by 15% quarterly through rigorous validation and quality checks
Qualifications
Required Qualifications
SQL
Python
R
Tableau
Power BI
Excel
Statistical Analysis
Data Cleaning
ETL Processes
Machine Learning Basics
Proven experience in data analysis and interpretation of large datasets
Strong problem-solving and critical-thinking skills
Excellent communication and data storytelling abilities

Company: test_june10