Desired Job Title
Data AnalystData AnalystJunior Data AnalystWork Type
Full TimeLocation Preference
HybridRemoteLocation: Hyderabad, TelanganaBengaluru, KA
Open to relocation: Yes
Open To Work
Verified
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Narayan Gouda
Data Analyst
Hyderabad,TG
Work Preference
Summary
Results-driven data analyst specializing in SQL and Power BI, with a proven track record at IDC Technologies. Automated reporting processes, achieving a 30% increase in efficiency. Proficient in Python for data analysis and visualization, effectively translating complex data into actionable insights. Collaborates with stakeholders to support strategic decision-making.
Overview
4
4
years of professional experience
Work History
Data Analyst
Speshway Solutions
Hyderabad
10.2025 - Current
- Developed interactive Power BI dashboards with Page Navigation, Bookmarks, Drill through, and KPI tracking.
- Extracted, transformed, and analyzed large datasets using SQL and Python (Pandas, NumPy).
- Performed data validation, cleansing, and transformation to improve reporting accuracy.
- Automated business reports using Python and Power BI, reducing manual reporting efforts.
- Worked closely with business stakeholders to gather requirements and convert them into actionable insights.
- Created DAX measures, calculated columns, and advanced visualizations in Power BI.
- Conducted trend analysis and forecasting to support strategic business decisions.
- Optimized SQL queries and improved data retrieval performance.
Data Analyst
IDC TECHNOLOGIES
Hyderabad
01.2023 - 11.2023
- Wrote and optimized SQL queries to extract data from a relational database and performed data cleaning and preprocessing using Python (Pandas) to handle missing values, outliers, and inconsistencies.
- Conducted exploratory data analysis to identify trends and patterns in customer behaviour and sales data.
- Utilized Python (Matplotlib, Seaborn) for data visualization to communicate findings to stakeholders.
- Designed and built interactive dashboards using Power BI to monitor key performance indicators (KPIs) such as sales conversion rates, customer lifetime value (CLV), and average order value.
- Developed Python scripts to automate the generation of weekly sales reports, reducing manual effort by 30%.
- Presented analytical findings to the marketing and sales teams, providing data-backed recommendations that contributed to a 15% increase in targeted marketing campaign effectiveness.
- Client – TCS
Junior Data Analyst
IDC Technologies
Hyderabad
03.2022 - 11.2022
- Collaborated with internal teams and customers to define clear data requirements, ensuring alignment with project goals.
- Translate business logic into structured data models and processes.
- Translated requirements into effective data structures and processes, facilitating accurate data management.
- Collect, organize, and interpret data and information from customers (the company’s clients).
- Work with large, complex datasets using Power BI.
- Design interactive reports, dashboards, and analytics tailored to customer needs.
- Apply data visualization and summarization techniques to support decision-making.
- Ensure accuracy, integrity, and security of collected and processed data.
- Implement controls to safeguard data consistency and confidentiality.
- Communicated findings and recommendations to customers and internal teams, enhancing understanding of data insights.
- Prepare clear, concise reports and presentations.
Education
B.TECH -
Biju Patnaik University Of Technology
Rourkela, OdishaSkills
- Python
- Pandas
- NumPy
- SQL(Basics & Advance)
- Power BI
- Excel
- MySQL
- Matplotlib
- Seaborn
- Jupyter Notebook
- Data visualization
- Data cleaning
- Git
- Visual Studio
- Spyder
- SQL querying
Accomplishments
- Supported senior analysts by preparing data visualizations and trend analysis for business decisions.
- Worked with cross-functional teams to ensure data accuracy and consistency across reports.
- Helped improve data quality by identifying missing values and duplicate records.
- Built interactive dashboards in Power BI to track sales and performance trends.
Key Technical Terms
- SQL queries: The standard language for managing and querying relational databases.
- Data extraction and transformation (ETL): The process of getting data from a source and preparing it for analysis.
- Power BI: Industry-standard tools for creating interactive reports and dashboards.
- Python (Pandas, NumPy): Core libraries for data manipulation and numerical operations in Python.
- Data cleaning/preprocessing: The critical steps of preparing raw data for analysis.
- Statistical analysis: The use of statistical methods to interpret data.
- Matplotlib/Seaborn: Python libraries for creating professional data visualizations.
- Automated reporting solutions: Scripts or tools that automatically generate reports without manual intervention.
- Data analysis lifecycle: The end-to-end process of a data project
Internship
- Strong programming skills in Python and SQL.
- Experience with data processing leveraging programming skills in Python and SQL.
- Clear skills in using version control systems like GIT and developing (technical) documentation.
- Experiences at infrastructure components as code for robust deployment, replication, and uniform management.
- Effective collaboration and communication skills to engage with cross-functional teams.
- A proactive mindset with the ability to drive tasks to completion.
Timeline
Data Analyst
Speshway Solutions
10.2025 - Current
Data Analyst
IDC TECHNOLOGIES
01.2023 - 11.2023
Junior Data Analyst
IDC Technologies
03.2022 - 11.2022
B.TECH -
Biju Patnaik University Of Technology