Data Analyst Entry-Level

Data Analyst

Entry-Level Data Analyst Specialist with a solid foundation in data collection, cleaning, and analysis, supported by a degree

in Data Science, Statistics, ora related field. Expert in leveraging tools like Excel, SQL, Python, and visualization platforms

(Tableau, Power BI) to transform raw data into actionable insights that drive informed decision-making. Good in working

with different teams to identify trends, optimize reporting processes, and present findings through clear, compelling

dashboards and summaries. Eager to apply analytical expertise, problem-solving skils, and a passion for continuous

learning to support data-driven strategies in a dynamic organization.

Core Competencies

Data Cleaning & Preparation (e.g., handling missing data, deduplication).

Excellent in Excel/Google Sheets (formulas, pivot tables, VLOOKUP).

‘SQL Querying (writing queries, joins, aggregations).

Data Visualization (Tableau, Power BI, and Python libraries like Matplotlib/Seaborn),

+ Basic Statistical Analysis (mean, median, correlation, hypothesis testing).

Reporting & Documentation (translating data insights into clear reports).

Python Programming (libraries ike Pandas, NumPy, etc).

~ Data Storytelling (presenting findings to non-technical stakeholders).

Dashboard Development (building interactive dashboards).

Database Management (understanding relational databases like MySQL SQL).

Problem-Solving (identifying patterns, anomalies, and trends).

+ Attention to Detail (ensuring accuracy in data entry/analysis).

Collaboration (working with cross-functional teams: IT, marketing, finance).

Critical Thinking (questioning data validity, testing assumptions).

Familiarity with BI Tools (e.g.. Looker, Ql Sense).

~ Data Governance (understanding privacy, GDPR, and data ethics).

Basic Machine Learning Concepts (supervised/unsupervised learning).

Time Management (prioritizing tasks, meeting deadlines).

Contact this candidate