A Data Analyst with over 5+ years of experience in IT, specializing in Data Analysis, Design, Development, and Maintenance of Business Intelligence solutions. Skilled in MSSQL, Oracle, MySQL, MS Excel (Pivot Tables and Formulas) Snowflake, SQL, ETL job development (SSIS), and BI tools (Tableau). Additionally, with 3 years of internal audit experience, I have a strong background in analyzing financial, operational, and compliance data to support efficient decision-making and ensure regulatory adherence. Adept at transforming complex data into actionable insights, optimizing workflows, and creating detailed documentation for seamless integration across teams.
Overview
13
13
years of professional experience
Work History
DATA ANALYST
BYTE2AI LLC
01.2024 - 03.2025
Company Overview: A leading AI-driven technology company specializing in data analysis and artificial intelligence solutions
Responsible for processing and analyzing large volumes of data to provide actionable insights for AI model development and business intelligence
Worked closely with data science, engineering, and business teams to create data pipelines, perform exploratory analysis, and deliver reports that supported strategic decisions and optimized AI performance
Worked extensively in Data Migration and data conversion from legacy to Oracle platform, documented Data Mapping and data profiling requirements, data transformation requirements for ETL and data integration
Developed Python project that using Anaconda and NumPy for data quality assurance and validation
Implemented data cleaning procedures, including outlier detection, data type conversions, and consistency checks
Generated ad-hoc SQL queries using joins, database connections and transformation rules to fetch data from PC Data warehouse
Gathered, cleaned, and structured large datasets from various sources to ensure data accuracy and consistency for AI modeling and analysis
Performed in-depth data analysis, uncovering trends, patterns, and anomalies to guide AI model development and improve decision-making
Provided data insights and supported the training and testing of AI algorithms by ensuring the availability of high-quality data for model validation
Developed dashboards and reports to visualize key performance indicators (KPIs), trends, and outcomes, enabling data-driven decision-making across teams
Wrote SQL queries to retrieve and analyze data from various databases, ensuring comprehensive reporting and data analysis
Worked closely with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver actionable insights and contribute to project goals
Identified opportunities to automate repetitive tasks and streamline data pipelines, improving the efficiency of data workflows
Maintained thorough documentation of analysis processes, model inputs, and data sources to ensure reproducibility and adherence to best practices in data governance
Retrieved data from the data warehouse and used the data to create insightful reports and analyses
Worked on user defined stored procedure PL/SQL Developer for data conversion from flat files to database
Written various SQL queries for the data analysis and reporting purposes with the help of analytical and aggregate functions and correlated sub queries
Provided support of ad-hoc JIRA requests and special projects as assigned directly or through Agile
Interacted with the stakeholders to get a better understanding of client business processes and gather business requirements
A leading AI-driven technology company specializing in data analysis and artificial intelligence solutions
Company Overview: A global technology and data company specializing in verification, optimization, and analytics solutions for the advertising industry
Responsible for monitoring and identifying emerging threats within the digital advertising ecosystem
Involved extensive interaction with large datasets, writing both simple and complex SQL queries to ensure data integrity and accuracy
With a focus on monitoring high-volume data, analyzed hundreds of thousands of transactions per second and tens of billions of events collected daily
Assisted product management, data science, and development in product/solution planning and prioritization
Analyzed and investigated impression level data to conceptualize stories and write research reports
Created ETL documentation such as Data Mapping, Transformation logic for Main Frame Layout, Updating Metadata documents for new Platform
Created, managed, and tracked stories in JIRA EPIC tools and discussions for solutions in daily stand meetings, template workshops with DMI team from Master Data management system
Generated ad-hoc SQL queries using joins, database connections and transformation rules to fetch data from PC Data warehouse
A global technology and data company specializing in verification, optimization, and analytics solutions for the advertising industry
Environment: Agile-Scrum, MS Office, Excel (Pivot Tables and Formulas, Lookups), Jira, SQL, LOS, Fiserv Signature, Crystal Reports, ETL, Tableau, Informatica
DATA ANALYST - INTERNAL OPERATIONS SPECIALIST
PROVINCE AUDIT DEPARTMENT UNDER THE NATIONAL AUDIT DEPARTMENT
DARKHAN
04.2012 - 04.2016
Company Overview: The audit department responsible for internal audits in Mongolia
Played a critical role in analyzing and managing internal operational data to support the department's audit functions
Gathered, validated, and processed large datasets to ensure accurate reporting and compliance tracking
Developed dashboards and visualizations to monitor key audit metrics and identified data patterns to enhance operational efficiency
Through effective collaboration with auditors and administrative staff, provided actionable insights to streamline internal workflows and improve decision-making
Gathered, cleaned, and validated data from various internal sources to ensure accuracy, completeness, and compliance with auditing standards
Developed automated reporting tools and systems to streamline internal operations and reduce manual processing time for audit reports
Analyzed operational and audit data to identify trends, discrepancies, and patterns, providing actionable insights to improve internal processes and operational efficiency
Assisted in conducting internal audits by providing relevant data analysis and ensuring that key performance indicators (KPIs) are accurately tracked and reported
Designed and maintained dashboards and data visualizations to monitor audit progress, highlight operational inefficiencies, and support decision-making for audit management
Identified areas of operational inefficiencies and recommended data-driven solutions to streamline internal audit processes and enhance workflow
Ensured that all internal operational data complies with auditing regulations and standards
Highlighted risk areas and ensured the accuracy of all financial and audit data
Worked closely with auditors, department heads, and other stakeholders to ensure data requirements are met and internal processes are optimized for effective audits
Provided training and support to internal teams on data analysis tools and reporting procedures
Documented and maintained clear records of all processes, methodologies, and system updates
Regularly reviewed and updated internal data systems and workflows, ensuring they evolve with changes in auditing standards, technology, and organizational needs
Collaborated with product management, data science, and development teams to support product and solution planning, ensuring effective prioritization of features and functionalities
Analyzed impression-level data to identify trends, develop narratives, and produce detailed research reports for stakeholders
Created comprehensive ETL documentation, including data mapping, transformation logic for Mainframe Layout, and updates to metadata documents for new platform integrations
Managed and tracked stories in JIRA, including EPIC tools and discussions, to facilitate solution development during daily stand-ups and template workshops with the DMI team from the Master Data Management system
Developed and executed ad-hoc SQL queries utilizing joins, database connections, and transformation rules to extract data from the PC Data Warehouse for analysis
The audit department responsible for internal audits in Mongolia
Education
BACHELOR - FINANCE AND ACCOUNTING
UNIVERSITY OF FINANCE & ECONOMICS
MONGOLIA
01.2011
Skills
Agile-Scrum
UML
RUP
Waterfall
SQL Server Management
SQL Loader
SQL Developer
Cross-functional collaboration
Data visualization
SQL
PL/SQL
Python
Anaconda
NumPy
Informatica
SSIS
Tableau
Crystal Reports
SAS
Business Object
Power BI
SQL Server
Snowflake
Amazon Cloud (AWS)
REDSHIFT
Windows
Linux
MAC
Oracle
MS Access
Notepad
Visual Studio Code
MS Office Excel
PowerPoint
MS Project
Problem-solving
Data validation
Data warehousing
Large dataset manipulation
Timeline
DATA ANALYST
BYTE2AI LLC
01.2024 - 03.2025
DATA ANALYST
US BANK CONTRACT
07.2023 - 01.2024
DATA ANALYST - INTERNAL OPERATIONS SPECIALIST
PROVINCE AUDIT DEPARTMENT UNDER THE NATIONAL AUDIT DEPARTMENT