data
Skills
About This Role
Overview
Jobs for Humanity is partnering with kanz to build an inclusive and just employment ecosystem.
Therefore, we prioritize individuals coming from all walks of life.
Company Name: kanz
We are seeking a highly skilled and motivated Data Analyst to join our dynamic team.
In this role, you will be at the forefront of our data-driven initiatives, working with large and complex datasets to uncover trends, patterns, and insights that drive business growth.
If you are passionate about turning raw data into strategic assets and thrive in a collaborative, fast-paced environment, we want to hear from you.
Job Purpose
The primary purpose of this role is to collect, process, analyze, and interpret data to extract actionable insights that support informed decision-making and strategic planning across the organization.
The Data Analyst will serve as a key bridge between raw data and business strategy, ensuring that complex data findings are translated into clear, impactful recommendations for stakeholders.
Job Duties And Responsibilities
- Collect, process, and clean large datasets from various sources to ensure data accuracy and integrity
- Analyze and interpret data to identify trends, patterns, and actionable insights
- Support informed decision-making and strategic planning through comprehensive data analysis
- Utilize SQL, Python, and R proficiently for data extraction, manipulation, and statistical modeling
- Apply statistical analysis techniques to validate findings and drive data-backed recommendations
- Design and develop interactive data visualizations and dashboards using Tableau and Power BI
- Translate complex data findings into clear, impactful reports and presentations for non-technical stakeholders
- Collaborate with cross-functional teams to define data requirements and deliver tailored analytical solutions
- Maintain and optimize data management practices, including database structures and data governance
- Apply critical thinking and problem-solving skills to address business challenges through data-driven approaches
Required Qualifications
- Data Analysis
- SQL
- Python
- R
- Statistical Analysis
- Data Visualization
- Tableau
- Power BI
- Data Management
- Critical Thinking
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