
Data Analyst
- or -
Post a project like this29
£363(approx. $502)
- Posted:
- Proposals: 7
- Remote
- #4468948
- OPPORTUNITY
- Open for Proposals
Full-Stack Web & Mobile App Developer With AI Integration & Automation Expertise
Award winning Digital Marketing Expert | SEO Specialist | Website Design & Shopify Consultant
I help businesses turn raw data into revenue using AI, ML, and predictive analytics
12903820119458891313674213009712849974131727479287485
Description
Experience Level: Expert
Position Overview:
We are seeking a Data Analyst to transform raw data into actionable insights. In this role, you will analyze complex datasets, create reports, and develop visualizations to support business decisions and optimize processes.
Key Responsibilities:
Collect, clean, and organize data from multiple sources.
Analyze datasets to identify trends and insights.
Create reports and dashboards using BI tools (Tableau, Power BI, etc.).
Design visualizations to communicate findings clearly.
Collaborate with teams to provide data-driven recommendations.
Ensure data integrity through audits and validation checks.
Required Skills and Experience:
Education: Bachelor’s degree in Data Science, Statistics, or related field.
Experience: 1–3 years in data analysis or a related field.
Technical Skills: Proficiency in SQL and data analysis tools (Excel, Python, R, etc.).
BI Tools: Experience with data visualization tools (Tableau, Power BI).
Analytical Skills: Strong ability to interpret data and provide actionable insights.
Communication: Ability to present complex data simply and effectively.
Nice to Have:
Experience with machine learning or predictive analytics.
Familiarity with data warehousing and ETL processes.
We are seeking a Data Analyst to transform raw data into actionable insights. In this role, you will analyze complex datasets, create reports, and develop visualizations to support business decisions and optimize processes.
Key Responsibilities:
Collect, clean, and organize data from multiple sources.
Analyze datasets to identify trends and insights.
Create reports and dashboards using BI tools (Tableau, Power BI, etc.).
Design visualizations to communicate findings clearly.
Collaborate with teams to provide data-driven recommendations.
Ensure data integrity through audits and validation checks.
Required Skills and Experience:
Education: Bachelor’s degree in Data Science, Statistics, or related field.
Experience: 1–3 years in data analysis or a related field.
Technical Skills: Proficiency in SQL and data analysis tools (Excel, Python, R, etc.).
BI Tools: Experience with data visualization tools (Tableau, Power BI).
Analytical Skills: Strong ability to interpret data and provide actionable insights.
Communication: Ability to present complex data simply and effectively.
Nice to Have:
Experience with machine learning or predictive analytics.
Familiarity with data warehousing and ETL processes.
Andrew L.
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29 Jan 2026
United Kingdom
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