Data Analytics Pro: Turn Data Into Decisions

EcoFarm Solutions; Norge (OK); On-site; USD 17,000 - 21,000; Full time

Job summary

EcoFarm Solutions seeks a Data Analyst to collect, clean, and organize large datasets from multiple sources, identify patterns and trends, and prepare clear reports and dashboards. You will work closely with product, operations and marketing teams to understand their data needs and translate them into actionable insights.

You will use SQL, Python or R for data manipulation, develop databases, and create visualizations with Tableau or Power BI.

Qualifications

• Bachelor's degree in mathematics, statistics, computer science or related field.
• 1–2 years of experience in a similar role or relevant internship.
• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with visualization tools such as Tableau or Power BI preferred.
• Strong analytical skills with the ability to interpret complex datasets.
• Excellent communication skills to present findings to non-technical stakeholders.
• Attention to detail and ability to work independently and in a team.

Responsibilities

• Collect, clean, and organize large datasets from multiple sources
• Analyze complex datasets using statistical methods and software
• Develop and maintain databases for storing and managing data
• Identify patterns, trends, and correlations within the data
• Prepare reports and visualizations to communicate insights
• Collaborate with teams to understand data needs and provide support
• Continuously monitor data quality and suggest improvements
• Stay updated with industry developments in data analytics to apply new techniques

Skills

SQL

Python

R

Tableau

Power BI

Communication

Independent

Education

Bachelor's degree (math|statistics|CS)

Tools

Tableau

Power BI

Job description

EcoFarm Solutions seeks a Data Analyst to collect, clean, and organize large datasets from multiple sources, identify patterns and trends, and prepare clear reports and dashboards. You will work closely with product, operations and marketing teams to understand their data needs and translate them into actionable insights.

You will use SQL, Python or R for data manipulation, develop databases, and create visualizations with Tableau or Power BI.