Srivalli Achanta
Data Analyst
Email: ******************@*****.*** Mobile: +1-856-***-****
LinkedIn: www.linkedin.com/in/srivalliachantahttp://www.linkedin.com/in/raju-yadav-nakka-43141133a
Professional Summary
Data Analyst with around 3 years of experience delivering data-driven insights, business intelligence reports, and performance dashboards for cross-functional teams.
Skilled in SQL and relational databases for querying, transforming, and validating large datasets across business domains.
Proficient in Excel, Tableau, and Power BI, building interactive dashboards and visualizations to support executive decision-making.
Strong knowledge of data wrangling and preprocessing using tools like Excel, Google Sheets, and pivot functions.
Experienced in working with ETL teams to define transformation logic, validate data pipelines, and maintain reporting integrity.
Collaborated with product, marketing, and operations teams to define KPIs, interpret trends, and improve reporting strategies.
Developed automated reporting templates that saved hours in recurring tasks and improved real-time decision-making.
Proficient in identifying data quality issues, performing root cause analysis, and communicating findings clearly to stakeholders.
Comfortable working with cloud-based data tools such as Google BigQuery, Snowflake (read-only use), and AWS QuickSight.
Strong understanding of A/B testing design and evaluation, including significance testing and metric tracking.
Contributed to forecasting and trend analysis using historical data to support planning and performance measurement.
Experienced in collaborating with cross-functional teams to translate ambiguous business questions into structured data problems and deliver clear, actionable insights.
Adept at maintaining and improving reporting infrastructure, ensuring timely, accurate delivery of dashboards and KPIs across multiple business units.
Familiar with agile teams, JIRA workflows, and delivering ad hoc insights under fast-paced project timelines.
Produced executive reports, slide decks, and cross-departmental insights for leadership, sales, and client-facing teams.
Known for simplifying complex data problems and turning numbers into meaningful stories that drive action.
TECHNICAL SKILLS:
Languages & Queries: SQL, Excel, Google Sheets
Visualization Tools: Tableau, Power BI, Looker (viewer-level), Google Data Studio
Databases: MySQL, PostgreSQL, SQL Server
Tools & Platforms: JIRA, Confluence, MS Teams, SharePoint
Techniques: KPI Design, Data Cleaning, Reporting Automation, Trend Analysis, A/B Testing, Forecasting
Other: Agile Methodology, Presentation Design, Stakeholder Reporting
EXPERIENCE
Client: WellsFargo, Hartford, CT Duration: May 2024 - Present
Role: Data Analyst
Designed and deployed SQL-powered Tableau dashboards to report on financial KPIs, client acquisition, and engagement across multiple platforms.
Developed automated Excel templates for sales and ops teams, improving weekly reporting speed and accuracy by 40%.
Partnered with product managers to define data tracking specs for new features and monitored adoption through funnel visualizations.
Analyzed marketing campaign performance, identifying underperforming channels and suggesting reallocation strategies.
Created quarterly reports combining internal and third-party data, supporting investor pitch decks and board meetings.
Conducted data validation and integrity checks to ensure consistency across Tableau, Excel, and raw exports.
Assisted customer success team with churn analysis, segmentation, and scoring models based on usage patterns.
Documented all dashboards and reports in Confluence, enabling transparency and smooth handovers.
Identified long lead-to-close cycles by analyzing CRM data and recommended actionable touchpoint improvements.
Conducted exploratory data analysis (EDA) to guide hypothesis framing for cross-functional experiments.
Delivered stakeholder training on dashboard usage and report interpretation, reducing reliance on ad hoc requests.
Worked with QA to develop test plans for data migration validation from legacy systems to cloud platforms.
Consolidated redundant data sources and dashboards, improving efficiency and removing 20+ outdated reports.
Aligned analytics reports with quarterly OKRs and department KPIs, ensuring strategic alignment.
Client: Reliance, Delhi, India Duration: Sept 2022 - Aug 2023
Role: Data Analyst
Built Excel dashboards to track sales, inventory turns, and returns for 50+ retail stores.
Queried transactional data from MySQL and designed cross-tab reports for weekly demand forecasting.
Created trend reports on in-store promotions and price sensitivity, supporting pricing strategy refinements.
Improved margin visibility by combining SKU-level cost, discount, and fulfillment data into clean reporting layers.
Collaborated with supply chain team to set up low-stock alerts and reorder logic using historical demand patterns.
Assisted in transitioning legacy Excel reports into Tableau dashboards to improve visual storytelling and reduce manual work.
Delivered analysis to identify slow-moving SKUs and recommended bundling strategies to reduce dead stock.
Created documentation and visual guides to onboard new analysts and business users to existing reports.
Supported executives with board-level reporting presentations using clean, narrative-based visualizations.
Worked cross-functionally with finance, logistics, and merchandising to define unified metrics.
Participated in monthly review meetings, presenting data insights and highlighting exceptions or opportunities.
Reviewed source data quality and flagged integration issues with backend engineers.
Client: Maxhealthcare, Hyderabad, India Duration: Jan 2022 - Sept 2022
Role: Junior Data Analyst
Developed and maintained clinical and operational reports using Excel dashboards and visualizations for hospital departments.
Built and automated patient discharge, scheduling, and physician utilization trackers to streamline administrative reporting.
Created KPI dashboards and summary charts for leadership to monitor performance metrics and department efficiency.
Assisted in preparing audit-ready documentation for internal quality reviews and accreditation bodies.
Introduced Excel macros and formula-driven templates that reduced manual effort and increased reporting accuracy.
Reconciled discrepancies between EHR system exports and internal reports, ensuring consistent data across platforms.
Delivered data summaries and trend visualizations used in monthly hospital performance review meetings.
Supported the standardization of reporting workflows by creating reusable templates and formatting guides.
Collaborated with operations staff and IT to align manual reporting logic with digital data capture workflows.
EDUCATION
Masters in Data Science - Rowan university (2025)