Data Analyst Analysis

MANASA ALE

ad2ba5@r.postjobfree.com

Phone: 571-***-****

PROFESSIONAL SUMMARY

Dedicated and results-driven Entry-Level Data Analyst with a strong foundation in data analysis, statistical techniques, and data management. Armed with a master’s degree in business Analytics and a passion for transforming raw data into actionable insights. Proficient in utilizing tools such as Excel, SQL, Tableau, and Python for data manipulation and visualization. Adept at cleaning and organizing complex datasets, conducting descriptive analysis, and creating clear, compelling visualizations to support data-driven decision-making. Exceptional problem-solving skills, a keen eye for detail, and a commitment to accuracy and data integrity. Eager to contribute analytical expertise and a fresh perspective to a dynamic data-driven team while continually expanding knowledge and skills in the field of data analytics.

Utilized statistical techniques to analyze and interpret data, including hypothesis testing, regression analysis, and data clustering, to uncover actionable insights.

Proficient in data visualization tools such as Tableau, creating interactive dashboards and reports that effectively communicate complex findings to stakeholders.

Demonstrated strong attention to detail by conducting thorough data cleaning, quality checks, and validation processes, ensuring data accuracy and reliability.

Applied SQL queries to retrieve and manipulate data from relational databases, optimizing data extraction processes for efficiency.

Collaborated with cross-functional teams to define project objectives, gather requirements, and translate business needs into data analysis tasks.

Employed Python for scripting, data manipulation, and automation, streamlining data processing workflows and enhancing productivity.

Presented findings and data-driven recommendations in clear and concise reports, effectively communicating complex technical concepts to non-technical audiences.

Actively engaged in continuous learning, staying updated with industry trends, and expanding proficiency in data analysis tools and methodologies.

Demonstrated strong problem-solving skills by identifying data patterns and trends, leading to actionable insights that improved decision-making processes.

Leveraged Microsoft Excel for advanced data analysis tasks, including pivot tables, VLOOKUP, and complex formulae, to enhance data processing capabilities.

Contributed to a team-oriented environment by collaborating on data analysis projects, sharing knowledge, and providing support to peers in achieving project objectives.

CERTIFICATIONS

Microsoft Certified: Data Analyst Associate

Tableau Desktop Specialist

EDUCATION

Master’s in Business Analytics at University of North Texas

TECHNICAL SKILLS

Languages

C, C++, JAVA, PYTHON

Databases

SQL, MySQL

Packages

MS Office suite, MS Excel, MS Visio, MS Project, Visual studio 2005,2017, Git, Slack, Power BI, Tableau, QlikView, Matplotlib

Operating systems

Window, Linux, MacOS.

Ticketing tools

Jira, ServiceNow, Zendesk

Cloud Platforms

AWS, Google Cloud and Microsoft Azure

PROFESSIONAL EXPERIENCE

JUNIOR DATA ANALYST UNIVERSITY OF NORTH TEXAS AUGUST 2021– MAY 2023

Conducted comprehensive data analysis on [e.g., student enrollment data, financial data] to identify trends and patterns.

Developed and maintained automated data collection and reporting processes, reducing manual workload by [60%].

Collaborated with cross-functional teams to define project objectives, gather requirements, and present data-driven recommendations.

Created and updated interactive dashboards in [e.g., Tableau, Power BI] to communicate key metrics to stakeholders.

Conducted ad-hoc data analysis to address specific departmental needs, resulting in [e.g., improved student retention rates].

Proficiently cleaned and transformed raw data to improve data quality, resulting in more accurate analysis outcomes.

Developed data cleaning scripts in (e.g., Python, OpenRefine] to automate data preparation tasks.

Implemented data validation checks to identify and rectify data anomalies and inconsistencies.

Designed and developed interactive data visualizations using [e.g., Tableau, Matplotlib] to facilitate data-driven decision-making.

Created visually compelling charts and graphs that effectively communicated complex data to non-technical stakeholders.

Improved data visualization processes, reducing report creation time.

Applied statistical techniques, including [e.g., regression analysis, hypothesis testing], to extract insights from data.

Conducted A/B testing to evaluate the impact of [e.g., marketing campaigns] and provided actionable recommendations.

Data Documentation and Reporting,

Maintained comprehensive documentation of data analysis processes, methodologies, and assumptions for future reference.

Generated regular reports and presented findings to senior management, enabling data-driven strategic decisions.

Collaborated with [e.g., academic administration, research teams] to understand data needs and deliver timely insights.

Effectively communicated data findings and insights to both technical and non-technical stakeholders through written reports and presentations.

IN PROGRESS: Actively pursuing SAS Certified Data Analyst to advance professional qualifications.

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