Gradence Global Ltd
Data analyst internship
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Company Description
Gradence Global Ltd is a UK-based digital solutions and growth partner that delivers web development, digital marketing, data analytics, automation, branding, and business growth services. The company designs focused, measurable programs that integrate with clients’ existing systems to create sustainable value. Their work aims to improve conversion rates, cycle time, data quality, and cost-to-serve for organizations across industries. As a data-driven business, Gradence Global Ltd offers interns exposure to modern analytics tools, digital strategies, and real-world growth challenges. Team members collaborate remotely with multidisciplinary professionals in a dynamic, results-oriented environment.
Role Description
This remote internship Data Analyst role focuses on supporting data-driven decision making across client projects and internal initiatives. On a day-to-day basis, the Data Analyst intern will:
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- Collect, clean, and validate data from various sources, ensuring accuracy and consistency.
- Perform exploratory data analysis, applying statistical techniques, and building basic data models to identify trends, patterns, and performance drivers.
- Prepare clear reports, dashboards, and visualizations to communicate insights to project teams and stakeholders.
- Document methodologies, collaborate with digital marketing and development teams, and contribute ideas to improve data quality, processes, and business outcomes.
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Qualifications
- Strong Analytical Skills and Data Analytics capabilities to interpret complex datasets and derive actionable insights.
- Solid foundation in Statistics and Data Modeling to support hypothesis testing, forecasting, and performance analysis.
- Effective Communication skills to present findings clearly in written reports, visualizations, and presentations.
- Familiarity with data tools such as Excel, SQL, Python, or R, and basic experience with visualization platforms (e.g., Power BI, Tableau) is beneficial.
- Current enrollment in or recent completion of a degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
- Detail-oriented mindset, ability to work independently in a remote environment, and willingness to learn new tools and methods.
- Interest in digital solutions, marketing analytics, and business growth, with a proactive approach to problem solving.
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