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Click here or scroll down to respond to this candidateCandidate's Name
Senior Data AnalystCharlotte, North Carolina Street Address PHONE NUMBER AVAILABLEEMAIL AVAILABLE https://LINKEDIN LINK AVAILABLEProfessional Summary:Senior Data Analyst with over 8+ years of experience in analyzing large datasets, generating actionable insights, and optimizing business performance. Expert in leveraging advanced analytics, machine learning models, and data visualization tools to support data-driven decision-making. Proven track record of collaborating with cross-functional teams to design, implement, and optimize reporting structures and data workflows. Proficient in Python, SQL (PostgreSQL, MySQL, Snowflake, BigQuery, Redshift), R, Tableau, and Power BI. Hands-on experience with AWS, Google Cloud and Snowflake. Passionate about solving complex problems through data and driving measurable business results.Technical SkillsProgramming Languages: Python, R, Scala, SQL, Bash, Shell scripting, XML, JavaScriptSQL Databases: PostgreSQL, MySQL, Snowflake, Google BigQuery, AWS RedshiftData Visualization: Tableau, Power BI, Matplotlib, SeabornMachine Learning & Data Science: Scikit-Learn, TensorFlow, Keras, XGBoost, StatsmodelsCloud Platforms: AWS (S3, Redshift), Google Cloud (BigQuery, Cloud Functions)Data Tools: Excel, Git, Jupyter, Apache Spark, Hadoop, PysparkMethodologies: A/B Testing, Predictive Analytics, Statistical Analysis, Data Wrangling, ETL PipelinesETL Tools: Apache Airflow, AWS Glue, Talend, Informatica, DBT, Apache NiFi, Fivetran, StitchData Warehousing: AWS Redshift, Google BigQuery, Snowflake, Azure Synapse Analytics, TeradataVersion Control: Git, GitHub, BitbucketMonitoring & Logging: Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana)Data Security & Compliance: GDPR, CCPA, Data Encryption, IAM, Role-based Access Control (RBAC)Data Visualization Tools: Tableau, Power BI, Looker, MetabaseData Observability & Lineage: Great Expectations, Monte Carlo, DatabandWork ExperienceSenior Data Analyst Feb 2021 - PresentIQube Technologies Inc & Systems Technology Group, Inc. (STG) Troy, MichiganClient: Horizon Media, NYDevelopment of data analytics dashboards using Tableau, driving a 25% increase in data-driven decision-making processes across multiple departments.Conducted in-depth customer behavior analysis using Python and SQL (Snowflake, PostgreSQL), leading to a 15% improvement in customer retention.Built automated reporting pipelines in Snowflake and Tableau, reducing manual report generation time by over 10 hours per week.Developed A/B testing frameworks, enabling the marketing team to optimize campaigns, increasing conversion rates by 20%.Designed machine learning models to predict customer churn, reducing churn by 10% within the first six months.Collaborated with the product development team to create data models that improved product feature adoption rates by 12%.Introduced predictive analytics models for marketing spend optimization, leading to a 20% increase in ROI.Worked closely with the engineering team to enhance data quality, reducing data pipeline errors by 30%.Integrated advanced data analytics techniques, including clustering and regression analysis, to support business decisions.Led the development of a customer segmentation model, improving targeted marketing campaigns and increasing revenue by 15%.Developed and implemented ETL pipelines to streamline data integration from various sources into Snowflake, enhancing data accessibility.Provided training to cross-functional teams on using data visualization tools like Tableau and Power BI, improving data literacy across departments.Implemented SQL-based data validation scripts to ensure accuracy and consistency of key business reports.Created dashboards to monitor KPIs in real time, reducing response time to business-critical issues by 25%.Analyzed web traffic and engagement data using Google Analytics, resulting in a 15% increase in user engagement.Collaborated with data scientists to improve the efficiency of machine learning models, reducing model training time by 20%.Established data governance policies, ensuring compliance with internal and external data privacy regulations.Supported the finance team by developing financial models that improved forecasting accuracy by 10%.Strong background in data governance, compliance (GDPR, CCPA), and data security with expertise in encryption and IAM practices.Technologies: Python, SQL (Snowflake, PostgreSQL), R, Tableau, Power BI, AWS, GitData Analyst Jan 2019 - Jan 2021MicroNet IT solutions Inc Pleasanton, California, United StatesClient: Ford, MIAnalyzed multi-channel sales data using MySQL and Python, identifying new revenue opportunities, which led to an 18% increase in annual revenue.Worked with teams to gather requirements and build dashboards that helped track important business metrics and improve decision-making.Shared key insights with leadership through clear data stories, which helped boost customer retention by 15%.Built and maintained dashboards in Tableau and Power BI to keep an eye on important business data, cutting down response times for critical issues by 25%.Created easy-to-follow documentation and processes to make sure reporting was accurate and accessible for everyone involved.Trained teams on how to use data tools like Tableau, helping them become more comfortable with data and make quicker decisions.Developed real-time Power BI dashboards to track KPIs, improving operational efficiency by 12%.Designed demand forecasting models using machine learning techniques, reducing inventory costs by 10%.Automated the extraction and transformation of large datasets, reducing manual data handling and report generation by 80%.Conducted financial analysis to optimize budgeting and forecast accuracy, contributing to a 5% reduction in operational costs.Collaborated with marketing and sales teams to build data-driven strategies, resulting in a 15% increase in customer acquisition.Identified customer churn risk factors using advanced statistical techniques, improving retention strategies.Implemented SQL-based anomaly detection systems to identify irregularities in sales and operational data.Developed Python scripts for data preprocessing, improving data accuracy for machine learning models.Worked with stakeholders to implement data governance frameworks, ensuring data accuracy and regulatory compliance.Designed and implemented SQL-based data marts to centralize reporting, reducing data retrieval times by 25%.Created A/B testing protocols to improve product feature rollouts, resulting in a 10% increase in user engagement.Provided in-depth data analysis for executive reports, helping to shape company-wide strategic initiatives.Led cross-functional team efforts to clean and standardize large datasets, improving data consistency and accessibility.Collaborated with engineering teams to improve data collection methods, reducing data latency by 15%.Developed custom data visualizations in Tableau to present complex analyses in an easy-to-understand format.Improved marketing effectiveness by creating predictive models to better allocate advertising budgets, increasing campaign ROI by 12%.Technologies: SQL (MySQL, PostgreSQL), Python, R, Power BI, Tableau, Excel, JupyterData Analyst Apr 2016 - Dec 2018SVK Systems Inc Duluth, Georgia, United StatesClient: Turner, GAAssisted in developing Hadoop-based data lakes and ETL pipelines for processing large datasets, supporting internal analytics functions.Built automated data validation tools using Python and SQL scripts, ensuring data accuracy and reducing manual data cleanup by 30%.Assisted in developing BI reports using SQL (PostgreSQL, MySQL), leading to a 15% increase in client satisfaction.Conducted exploratory data analysis (EDA) on customer datasets to identify trends, optimizing marketing strategies and increasing efficiency by 10%.Created and maintained SQL queries for ad-hoc reporting, enabling teams to retrieve critical data on-demand.Automated routine data extraction and manipulation tasks, reducing data preparation time by 40%.Supported the development of dashboards in Power BI and Tableau to track operational metrics, improving visibility across departments.Cleaned and transformed raw data from multiple sources to ensure accuracy and reliability of reporting.Created data visualizations for clients to help them better understand their key business drivers.Conducted data validation and verification procedures, improving data accuracy by 20%.Assisted with building customer segmentation models, improving targeted marketing campaigns.Provided weekly data analysis reports to support sales and marketing strategies, contributing to a 5% increase in revenue.Collaborated with senior data analysts to develop SQL-based data pipelines, ensuring smooth data flow across departments.Assisted in the implementation of A/B testing frameworks to test new product features, contributing to a 7% increase in user adoption.Contributed to the creation of predictive models for customer behavior, improving forecasting accuracy.Provided insights on data governance best practices, improving data management policies across the company.Supported business units with data requests, helping drive data-driven decision-making across the organization.Conducted competitor analysis using publicly available data, influencing product development strategies.Assisted in the preparation of presentations for executive leadership, providing key data insights.Technologies: SQL (PostgreSQL, MySQL), Excel, Power BI, Tableau, PythonEducationUniversity of Central Missouri Aug 2014 - Dec 2015Master of Science - MS Computer ScienceJawaharlal Nehru Technological University Sep 2009 - Jun 2013Bachelor of Technology - BTech Electrical and Electronics Engineering |
