Summary
Overview
Work History
Skills
Certification
Languages
Timeline
Volunteer

SRIKANTH NAIDU

HYDERABAD

Summary

With 9 years of distinguished experience as a Senior Data Analyst, I bring a profound expertise in data analytics and interpretation. My proficiency in leveraging sophisticated analytical tools and methodologies enables me to extract critical business insights and facilitate strategic decision-making. I have a proven history of managing extensive datasets, crafting compelling visualizations, and articulating intricate data findings to diverse stakeholders with clarity and precision. My aptitude for cross-departmental collaboration enhances business processes and propels organizational objectives. Renowned for my meticulous attention to detail, robust problem-solving capabilities, and adeptness at adhering to stringent deadlines in dynamic environments, I am committed to delivering exceptional value and fostering success within any enterprise.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Senior Data Analyst

INFOSYS
HYDERABAD
11.2021 - Current
  • Integrated external data sources with existing databases for creating consolidated views.
  • Developed and maintained data models for business intelligence reporting.
  • Analyzed customer requirements and translated them into technical specifications for BI solutions.
  • Implemented data cleansing techniques to ensure accuracy of the BI reports.
  • Monitored database server performance metrics and took proactive measures when needed.
  • Participated in design review meetings to ensure that all BI projects meet quality standards.
  • Conducted unit testing of all BI components before deployment in production environment.
  • Developed SSRS reports with advanced features such as drill-down, sorting, filtering and parameters.
  • Prepared comprehensive documentation including installation guide, user manual, for end users.
  • Collaborated with IT teams to develop a secure environment for Business Intelligence applications.
  • Analyzed business requirements into technical requirements for reporting and visualizations, data models and databases.
  • Collaborated with quality, risk management and other teams to identify process improvement opportunities based on in-depth BI reviews.
  • Generated daily, monthly and annual reports to address short- or long-term business intelligence questions.
  • Conducted data analysis, profiling and quality assessment to maintain integrity of business data.
  • Provided detailed source analysis and data mappings and transformations for development and implementation.
  • Assisted development teams with analysis and design for new or existing systems.
  • Worked with [Type] teams to build self-service reports and establish automated processes for large-scale data analyses.
  • Helped resolve issues with data analytics and visual representation to deliver relevant insights to senior business leaders.
  • Summarized conclusions of business intelligence analyses and presented findings at executive meetings.
  • Educated users on correct interpretation of financial, statistical and qualitative data.
  • Identified opportunities for data optimization and automation of processes.
  • Performed ad-hoc analysis by querying large datasets using SQL and T-SQL stored procedures.
  • Assisted with the design and implementation of a self-service reporting platform.
  • Worked closely with IT teams on developing database objects such as views, tables.
  • Conducted data analysis, created reports and dashboards using Tableau and Power BI.
  • Created technical documents outlining processes, procedures and standards used in Business Intelligence development efforts.
  • Analyzed customer profiles, segmentation models, market research and sales performance metrics to develop insights into customer behavior patterns.
  • Designed and implemented ETL processes in SSIS packages.
  • Prepared presentations summarizing findings from data analysis projects.
  • Gathered user feedback to improve existing reports or create new ones.
  • Provided guidance on the use of analytics tools such as R, Python, SAS.
  • Trained users on how to use the various Business Intelligence platforms effectively.
  • Collaborated with stakeholders to define business requirements for reporting projects.
  • Developed predictive models using machine learning algorithms such as regression, random forest.
  • Monitored system performance and identified areas of improvement.
  • Maintained documentation for all changes made to Business Intelligence systems.
  • Developed complex SQL queries to extract and analyze data from multiple sources.
  • Researched current trends in technology related to Business Intelligence solutions.
  • Participated in peer reviews of reports developed by other team members.
  • Implemented automated testing strategies to ensure accuracy of report results.
  • Analyzed and tracked data to prepare forecasts and identify trends.
  • Provided technical support for existing reports, dashboards or other tools.
  • Evaluated third-party BI tools for potential adoption by the company.
  • Implemented security measures to protect sensitive business information.
  • Collected business intelligence data from industry reports, public information or purchased sources.
  • Analyzed competitive market strategies through related product, market or share trends.
  • Participated in strategic planning sessions based on analytical findings.
  • Created or reviewed technical design documentation to drive accuracy of reporting solutions.
  • Tracked KPIs, metrics, and trends to evaluate business performance.
  • Collected, tracked and evaluated current business and market trend data.
  • Conducted regular audits of BI systems to ensure compliance with policies.
  • Identified or monitored current and potential customers using business intelligence tools.
  • Collaborated with cross-functional teams to define reporting requirements.
  • Synthesized current business intelligence or trend data to support recommendations for action.
  • Created custom SQL queries and reports for business stakeholders.
  • Monitored industry trends to inform future BI strategy development.
  • Performed routine data validation to ensure accuracy of reports.
  • Developed and maintained BI dashboards for data-driven decision making.
  • Communicated with customers, competitors and suppliers to stay abreast of industry or business trends.
  • Provided ongoing support for BI-related issues and requests.
  • Disseminated information regarding tools, reports or metadata enhancements.
  • Generated standard or custom reports summarizing business, financial or economic data.
  • Identified needs of customers promptly and efficiently.
  • Gathered and organized data to analyze current industry trends.
  • Trained end-users on effective use of BI tools and applications.
  • Identified and analyzed industry or geographic trends with business strategy implications.
  • Created documentation outlining best practices for report creation.
  • Maintained library of model documents, templates or other reusable knowledge assets.
  • Designed, developed, and implemented ETL processes for data integration.
  • Assisted in integrating new technologies into existing BI infrastructure.
  • Created and designed business intelligence databases, spreadsheets or outputs.
  • Communicated complex findings clearly through visualizations and presentations.
  • Optimized data warehouse performance for faster report generation.
  • Managed diverse projects for data capture, storage and forecast analysis.
  • Conducted thorough data analysis to identify business improvement opportunities.
  • Generated actionable insights through advanced analytics techniques.
  • Assessed programs to identify risks or problems to determine appropriate responses.
  • Managed large datasets using Excel, SQL, and other data tools.
  • Maintained or updated business intelligence tools, databases or dashboards.
  • Configured PowerBI dashboards to visualize key performance indicators of the organization.
  • Provided support in troubleshooting issues related to Business Intelligence tools like PowerBI, Tableau.
  • Managed version control system for tracking changes made in different releases of BI applications.
  • Performed complex SQL queries on large datasets using SQL Server Management Studio.
  • Designed, implemented and monitored ETL processes based on user requirements.
  • Assisted users in understanding the functionality of different Business Intelligence tools.
  • Created and maintained ETL processes to populate data warehouses from various source systems.
  • Optimized existing stored procedures by refactoring TSQL code for better performance.
  • Built new databases and tables in MS SQL Server to store the extracted data.

Data Analyst

IBM
Hyderabad
08.2015 - 10.2021
  • Created complex reports such as drilldown, sub-reports, matrix and charts to meet the business needs.
  • Developed and implemented SSRS Reports using SQL Server Reporting Services.
  • Monitored server performance issues related to SSRS Reports and provided solutions accordingly.
  • Optimized existing SSRS reports by improving query performance and reducing execution time.
  • Prepared test cases for validating accuracy of results obtained from generated reports.
  • Assisted in troubleshooting various issues related to report development process in SSRS.
  • Designed, developed and maintained report models, data sources, datasets and report parameters in SSRS.
  • Implemented mobile friendly responsive design features in the existing reports of SSRS.
  • Generated ad hoc queries for creating custom reports based on user requirements.
  • Maintained data integrity while designing and developing new report structures in SSRS.
  • Tested newly created or modified reports before deployment into production environment.
  • Configured security settings for users to access different types of reports in SSRS environment.
  • Involved in creating stored procedures and views for better performance of the reporting system.
  • Integrated SSRS with other applications like MS Excel and SharePoint for better usability of reports.
  • Provided technical support to end-users regarding usage of generated reports from SSRS.
  • Performed unit testing on all components of a report prior to its release into production.
  • Coordinated with vendors to evaluate products/services related to data warehousing needs.
  • Conducted user acceptance testing (UAT) for newly developed solutions.
  • Conducted regular audits to identify system improvements and enhancements.
  • Resolved warehouse performance and access problems by troubleshooting.
  • Implemented and managed software upgrades and installs, rights and performance tuning for [Software] data visualization software.
  • Collaborated with business teams to gather requirements and specifications.
  • Detected and resolved data quality issues and discrepancies for integrity and quality control.
  • Managed project timelines, deliverables, and milestones for successful completion.

SQL Server Database Administrator

AT&T
Hyderabad
02.2015 - 07.2016
  • Managed user access, ensuring proper security measures.
  • Performed upgrades, patches, and migrations on existing databases.
  • Coordinated with IT teams on infrastructure needs for databases.
  • Ensured data integrity through regular maintenance tasks.
  • Assisted in troubleshooting and resolving database issues.
  • Collaborated with developers to design efficient databases.
  • Reviewed system logs to proactively identify potential issues.
  • Monitored and tuned database performance using various tools.
  • Implemented database backup and recovery strategies.
  • Installed, configured, and maintained Oracle 11g and 12c databases on Linux servers.
  • Provided technical support for developers by creating views and indexes as per their requirements.
  • Performed quality assurance processes to support data warehouse improvements.
  • Supported end users in selecting, procuring and using software applications.
  • Monitored and optimized database performance using indexes, stored procedures, triggers, and other techniques.
  • Performed daily maintenance tasks such as backups, restores and log shipping operations.
  • Created tables, views, functions, stored procedures and other database objects.
  • Reviewed query execution plans to identify inefficient code or recommend index changes for improved performance.

Skills

  • SQL
  • EXCEL
  • POWER BI
  • SSRS
  • AZURE DATA FACTORY
  • DATAWAREHOUSING
  • PYTHON FOR DATA ANALYSIS
  • AGILE SCRUM

Certification

  • Microsoft Certified: Power BI Data Analyst Associate
  • Microsoft Certified - Power Platform Fundamentals

Languages

English
First Language

Timeline

Senior Data Analyst

INFOSYS
11.2021 - Current

Data Analyst

IBM
08.2015 - 10.2021

SQL Server Database Administrator

AT&T
02.2015 - 07.2016

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SRIKANTH NAIDU