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Data Analyst Business

Location:
Watertown, MA
Salary:
$100000 USD
Posted:
November 23, 2023

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Resume:

Fraidoon Faqery

Data Analyst Business Analyst Business Intelligence Analyst

Watertown, MA 02472 857-***-**** ad1d9o@r.postjobfree.com linkedin.com/in/fraidoonfaqery Summary

• Overall, 4 years of hands-on expertise in data analytics, statistical modeling, and data visualization.

• With a prestigious Google Data Analytics certificate and comprehensive training, I have developed proficiency in data preparation, processing, and analysis techniques.

• Proficient in Excel, R, Python, SQL, and data analysis tools such as Tableau and Power BI Using statistical techniques and tools to analyze data, identify patterns, and draw meaningful insights that can address specific business questions or problems.

• Proven ability to extract actionable insights from complex datasets to drive strategic decision-making and enhance operational efficiency.

• Proficient and skilled in cleaning, organizing, and transforming complex datasets to make them suitable for analysis.

• Strong analytical skills to collect, organize, analyze, and interpret data, as well as the ability to identify trends and patterns.

• Effectively communicate findings and insights to technical and non-technical audiences, collaborating with cross-functional teams, and working with engineers and developers to develop data governance strategies.

• Encompassing critical values of integrity, honesty, appreciation, teamwork, growth, and result orientation with an eye toward continuous improvement.

• Continuous learning and keeping up with the latest advancements, tools, and techniques.

• Release-planning specialist trained in advanced Excel modeling

• Creative solutions architect with real-time problem-solving flexibility.

• Enthusiastic Senior Data Analyst and dedicated employee with integrity, strong work ethic, and great leadership skills.

• Over 7 years of experience building revenues, improving processes, and driving business growth through periods of ranging market health.

• Exceptionally aware of early warning signs of economic downturn with strategic adaptability.

• Follow and assess the business process model defining metadata rules and critical data elements.

• Conduct analysis, gather requirements, develop Use Cases, data mapping, and workflow diagrams.

• Develop a global incident management reporting dashboard for the DQM over multiple IM platforms. Key Strength’s

• SQL Proficiency (Structured Query Language): Can extract, organize, and manage large datasets stored in relational databases. Also retrieving relevant data and performing efficient data manipulation tasks

• Data Visualization: The ability to present data findings using graphics and visualizations is essential. Also create charts, graphs, and other visual representations that make complex insights easier to understand for non-technical stakeholders

• Mathematical Skills: Strong mathematical skills, including statistics and probability, enable data analysts to perform rigorous analysis and derive meaningful insights from data.

• Statistical Programming Languages: Proficiency in statistical programming languages like R, Excel, SQL, Tableau, and data visualization for performing advanced analyses on large datasets.

• Data Cleaning: Preparing and cleansing raw data to ensure accuracy and quality.

• Machine Learning: Familiarity with machine learning concepts and techniques allows me data analysts to build predictive models and gain deeper insights from data.

• Critical Thinking: Data analysts must approach problems with critical thinking and analytical reasoning to identify trends, patterns, and insights from data.

• Excel Proficiency: Proficiency in Excel, data manipulation, basic analysis, and reporting.

• Communication Skills: Having effective communication skills, conveying complex findings and insights to both technical and non-technical stakeholders.

• Data Collection and Cleaning: Proficient in data collection methods and techniques, as well as ensuring data quality and accuracy.

• Problem-solving skills: Capable of identifying and addressing challenges in data collection, analysis, and interpretation.

• Advanced Excel Spreadsheet Functions: Proficient in utilizing advanced Excel functions to analyze and manipulate data effectively.

• Tableau Tools Mastery: Expertise in using Tableau tools for data visualization and analysis, facilitating data-driven decision-making.

• Transition Coordination and Seismic Monitoring: Proven ability to coordinate transitions and monitor seismic data, ensuring operational stability.

• HTML and XML Coding and Design: Skilled in HTML and XML coding and design, enhancing web development capabilities.

• Database Management: Competent in managing MS SQL Server 2000, Oracle Toad, and computer servers for efficient data storage and retrieval.

• Statistical Analysis and Pivot Tables: Proficient in statistical methods and pivot tables for in-depth data analysis.

• Data Science and Integration: Experienced in data science, data transformation, and data integration with data lakes, driving data-driven insights.

• Data Analytics and Web Intelligence: Adept at data analytics and web intelligence, contributing to informed decision- making.

• Database Expertise: Well-versed in IBM DB2, report writing, and conducting SWOT analyses for strategic planning.

• Trend Data Analysis: Proficient in analyzing database schemas and conducting trend data analysis with expertise in Teradata Database, SAS Graph, and SAS Stat.

• Business Intelligence Testing: Skilled in business intelligence testing and adept at client meetings, ensuring quality deliverables.

• Advanced SAS Programming: Proficient in writing advanced SAS programs to extract valuable insights from data.

• Metadata Enhancements and Resource Allocation: Expertise in enhancing metadata and optimizing capital and resource allocation.

• Python and R Programming: Competent in Python and R programming languages, enabling advanced data analysis.

• Project Management: Strong project management skills for effectively leading and delivering projects.

• Java Development: Proficient in Java development, expanding programming capabilities. Key Skills

Data Analytics Tools Tableau, Power BI, Jupyter Notebook, Hue, SQL Developer, MINITAB, and Analytic Solver

(Excel-based tool) Regression Analysis, Classification Modeling, Statistical Inference, Time- Series Analysis, Model Diagnostics

Programming language SQL, Python, Hive, Pyspark (Spark-SQL) Management Tools JIRA, Sharepoint, Confluence, BitBucket, Github, Service Now. Database MySQL, Oracle, MSSQL, Snowflake.

Defect Tracking Tools HP-ALM and JIRA

MS Office Tools Microsoft Project Management (MPP for WBS), Excel, One Note, Powerpoint, Word, Outlook Data Manipulation and

Transformation

Data Wrangling, ETL & ELT (Extract, Transform, Load), Data Cleaning, Metadata Management Data Visualization and

Reporting

Data Visualization, Dashboards & Reporting, Tableau Database and Query

Languages

SQL, MySQL & T-SQL

Analytics and Decision-

Making

Risk & Decision Analysis, Analytical Skills

Software and Tools Microsoft Excel, Natural Language Processing with ChatGPT & LLMs (Large Language Models) Professional Experience

DATA ANALYST Jul 2022 – Present

Bim IT Better - Prince Fredricks, MD

• Comparative cost/benefit analysis between DQM modules and Inquiry Framework for DQ assessments.

• Utilize multimedia office suite applications and conduct surveys for high-level dashboard reporting.

• Experience in Data Analysis, Design, Development, Implementation, and Testing using Data Conversions, Extraction,

• Transformation and Loading (ETL) and SQL Server, ORACLE, and other relational and non - non-relational databases.

• Generated DDLs and created tables and views in the corresponding layers.

• Implemented business logic using store procedures, TSQL, and Triggers (DML and DDL)

• Experience in the Oracle development toolset (Including PL/SQL).

• Migrated Catalogs and Reports to Congo’s 8 environments.

• Experienced in forecasting the data space requirements using features like Capacity planning, mapping sources to target data using the data lineage feature, and calculating the impact analysis.

• Analyzed large amounts of data to identify trends and find patterns, signals, and hidden stories within data.

• Conducted statistical analysis to derive meaningful insights from data sets.

• Collaborated with domain experts to understand data requirements and provide data-driven recommendations.

• Identified, reviewed, and evaluated data management metrics to recommend ways to strengthen data across enterprises

• Interpreted business questions and collaborated with engineering teams to identify data sources

• Assessed large datasets, drew valid inferences, and prepared insights in narrative or visual forms

• Often utilized SAS to perform data-driven analysis to solve business problems, identify trends, and provide actionable insights to improve processes and strategies.

• Reviewed files, records, and other documents to obtain business information and key data informing responses to development requests

• Mapped process activities to identify shortfalls and propose options to rectify operational inefficiencies

• Increased annual revenue by 5% by recommending improvements in job efficiency.

• Use SAS to clean, manipulate, and analyze data to derive insights. To create reports, dashboards, and visualizations that help my organization in making informed decisions. DATA ANALYST Feb 2022 – May 2022

F.H. Cann & Associates, Inc. - North Andover, Massachusetts.

• Contributed to improved client satisfaction and business growth through accurate forecasts.

• Successfully managed network security, resulting in zero data breaches.

• Negotiated supplier contracts, achieving cost savings of 15%.

• Worked with the Business Intelligence and ETL developers on the analysis and resolution of data-related problem tickets and other defects and assisted them in designing efficient processes to load and manage the data, including a data Quality Assessment to ensure the quality of the source data will meet the information requirements.

• Pulled out sales order data and generated ad hoc stock-pulling lists using advanced Excel functions every day.

• Extensive work experience in Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) system environments.

• Experienced in creating OLAP cubes, identifying dimensions, attributes, hierarchies, and calculating measures and dimension members.

• Proficient in designing Star and Snowflake schemas with a very good understanding of fact

• Collaborated on a project that utilized Tableau to visualize patient flow patterns, leading to optimized

• Resource allocation and a 10% decrease in emergency room congestion.

• Use of Python to program health monitoring devices, wearables, and Internet of Things (IoT) devices

• that collects and transmits patient data. And to track vital signs, activity levels, and more.

• Researched and resolved issues regarding the integrity of data flow into databases.

• Implemented advanced calculations and analytics in Tableau to analyze patient demographics, disease

• trends, readmission rates, and resource utilization, contributing to improved patient care strategies.

• Created insightful data visualizations and reports to communicate findings to stakeholders.

• Analyzed SAP transactions to build a logical business intelligence model for real-time reporting needs

• Compiled, evaluated, and reviewed engineered data for internal system

• Synthesized current business intelligence data to produce reports and polished presentations,

• Highlighting findings and recommended changes

• Extracted, cleaned, and transformed complex healthcare data from various sources, including electronic

• Health records (EHR), claims data, and patient satisfaction surveys.

• Interpreted results using various techniques from simple data extraction to complex data mining

• independently

• Documented business workflow for stakeholder review DATA ANALYST Jun 2010 – Jan 2014

U.S. Army

• Analyzed SAP transactions to build a logical business intelligence model for real-time reporting needs

• Compiled, evaluated, and reviewed engineered data for internal system

• Synthesized current business intelligence data to produce reports and polished presentations,

• Highlighting findings and recommended changes

• Expertise in creating schema objects and performance Tuning of SQL coding.

• Leveraged text, charts, and graphs to communicate findings in an understandable format.

• Utilized Python libraries such as Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization.

• Use of Tableau to analyze and visualize data, derive insights, and communicate findings to stakeholders and to create interactive dashboards, reports, and visualizations to help in data-driven decision-making.

• Used business objects, business intelligence, and other reporting tools to extract data from data solutions and data warehouses

• Experience in creating Data definition and metadata repositories. Participated in physical implementation (partitioning, Cluster, indexing, etc.

• Analyzed daily reports, improving situational awareness by 25%.

• Facilitated collaboration among over 20 organizations, enhancing data-driven decision-making.

• Mitigated risks and ensured safety through advanced analytical skills.

• Optimized resource allocation and operational efficiency through data analysis.

• Communicated complex findings effectively to diverse stakeholders.

• Produced actionable security metrics reports.

• Streamlined procurement processes, reducing discrepancies by 25%.

• Achieved cost savings of 10% through supplier negotiations.

• Created database Design of Fact and dimensions Tables and conceptual, Physical, and Logical data Models using the Erwin tool.

• Gathered and documented the Audit trail and traceability of extracted information for data quality. Academic Background

Bachelor’s degree in Information Technology Sept 2019 to Sept 2021 Northeastern University

Associate’s degree in Computer Science Sept 2016 to Dec 2018 Bunker Hill Community College

Certifications & Accomplishments

Google Data Analytic Specialization 2023

Coursera

Volunteer Work

Linguist 2014 –2022

Baystate Interpreter Services Inc

Reference

Will be provided upon request.



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