Data Analytics Consultant resume example with 18+ years of experience

Jessica Claire
  • Montgomery Street, San Francisco, CA 94105 609 Johnson Ave., 49204, Tulsa, OK
  • H: (555) 432-1000
  • C:
  • Date of Birth:
  • India:
  • :
  • single:
Professional Summary

Process-oriented Business Intelligence Developer, SQL Developer, Data Analyst, Business Analyst, Data Scientist, Quantitative Analyst and Financial Analyst and Researcher, who sits at the intersection of back-end and front-end Data science, and Data engineering, i.e. Data consolidation, Data analysis and Data visualization, amid constant iteration, design and deployment of modern Data, Business and Financial Analytics tools, Systems, Processes, Strategy, Machine Learning and AI models that go to shaping the business for the future and generating predictions of the highest level of visibility and importance to the business.

  • Successfully deployed data-engineered business processes, systems and strategies to drive efficiencies across the Global Logistics & Supply Chain and Strategic Sourcing of one the world’s foremost Oil & Gas that yielded 20% cost savings and 30% supplier rationalization.
  • Turned massive sets of unstructured data into valuable intelligence and used the patterns in dynamic data to predict portfolio and asset risks and returns, and to capture higher portfolio and asset returns for a leading financial services firm, and wealth and asset management company.
  • Created leverage from data-driven financial modelling and analysis, process and revenue optimization, demand forecasting to deal with volatile demand, and challenges with capacity utilization and optimal utilization of capital for a cluster of Ports.
  • Provided real-time insights from data and business analysis at each decision point of a successful implementation of a future ready enterprise resource planning (ERP) system designed to deal with a complex data landscape spanning multiple lines of business of a global powerhouse focusing on the areas of electrification, automation and digitalization.
  • Harnessed experience distilling complex concepts and analysis into concise actionable conclusions to influence others to the vision of definitively transforming business processes with intelligent automation and simplified and improved data model.
  • Business Strategy, Business Analysis, Business Intelligence (BI), Scenario Planning
  • Financial Analysis, Financial Modeling, Accounting, Statistical Data Analysis, Financial Markets, Investments, Portfolios
  • Data science, Data Analysis, Data Modeling, Data Management, Data Visualization
  • SQL, SQL Server, Python, R, Tableau, Power BI, Oracle Analytics
  • Full Stack Web Development (Java Script, React, Node.js, NPM, MongoDB, SQL Databases, CSS/ HTML, Git and GitHub)
  • Ability To Solve Problems, Project Deadlines and Project Management
  • Written and Verbal Communication, Report Generation
  • Analytical Skills and Quantitative Skills
  • Microsoft Office, Excel Power Point, Access
Work History
Data Analytics Consultant, 05/2019 - Current
Deloitte Orlando, WV,
  • Accelerate efforts of clients to evolve their data analytics strategy for real business impact through ensuring that it spans range of technologies, from dedicated analytics platforms and databases to real-time predictive business intelligence (BI) and data visualization tools.
  • Design, develop and deploy Power BI, Tableau and Oracle Analytics reports, Key Performance Indicators, scorecards and dashboards.
  • Provide solutions to problems from insights at scale that can be acted upon using machine learning, predictive models and Artificial Intelligence as new frontiers for client organizations.
  • Help clients navigate complexity of modern data and advanced predictive analytics, data visualization, data science and business intelligence, and put data to work to streamline operations and supply chains, improve products and services, transform customer experiences, affect customer and employee satisfaction, and analysis into concise actionable conclusions to influence others to vision.
  • Working closely with clients and other specializations alike to extract, transform and load data from multiple data sources, exploratory data analysis, exception identification, data modeling and feature engineering, using combination of manual processes, SQL queries, automated scripts, algorithms and macros as is necessary.
  • Documentation of best practices and process mapping.
  • Participate in projects as required
  • Provide complex data analysis, research, data mining, data visualization, reporting and interpretation of business and project performance metrics.
  • Design, generate, review and understand reports. Uses aggregate financial and essential data from multiple sources to create complete analysis, improvement and/or recommendation(s).
  • Prepare and present results of analysis and reports along with their relative impact(s) to business and all levels of management.
  • Develop scenario planning tools/models and sensitivity analysis . Prepare forecasts and analyze trends in general business conditions.
  • Identify opportunities for improvements and gaps. Review accuracy of information and data integrity. Achieved 10-15% performance improvement on average across client assignments.
Quantitative Analyst / Data Analyst, 10/2015 - 04/2019
Brink's Incorporated Louisville, KY,
  • Implement statistical analysis and data analysis to solve specific problems at business and project levels utilizing advanced tools (Python, R, etc.), including portfolio optimization and asset allocation covering equities, bonds, currencies, private equity, hedge funds and commodities.
  • Build robust and scalable data integration and ETL pipelines using SQL, Python and Spark, while leading data-driven decision-making and providing valuable business insights to stakeholders that add to mission to develop and apply advanced techniques in data mining, data preparation, and data visualization methods to business and research problems.
  • Churn and turn massive sets of unstructured, structured and time-series data into valuable business intelligence, insights, dashboards, models and solutions.
  • Build data, risk, pricing and predictive models, as well as decipher patterns in dynamic data to predict portfolio and asset risks and returns, and to capture higher portfolio and asset returns.
  • Increased data consolidation and data analysis using SQL, Python and other advanced data science technologies such as machine learning and artificial intelligence (AI) for scientific discovery, prediction.
  • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.
  • Directly contribute to designing and developing automated forecasting systems and prediction / machine learning models.
  • Established customer-facing reporting tools to provide actionable business insights and metrics which track and forecast performance, and communicating and visualizing insights, business intelligence and analytics that are timely, accurate, innovative and actionable using proven tools such as Tableau, Power BI, Oracle Analytics 12c, and Python and R visualization tools.
  • Collaborate with researchers, software developers, and business leaders to define product requirements, provide analytical support, and communicate feedback.
  • Present critical data in formats immediately useful to answer questions about inputs and outputs of Forecasting systems and improving their performance.
  • Develop cutting edge data pipelines, building accurate predictive models, and deploying automated processes and procedures to provide forecasting insights to business leaders.
  • Distill business intelligence and insights into actual solutions to business problems through data-driven analysis of business and project based initiatives.
  • Established strategies to minimize and balance risk exposures.
  • Adjust portfolio exposures to compensate for market conditions.
Business Information Analyst /Strategy Analyst, 01/2007 - 11/2013
Rosa Management Solutions City, STATE,
  • Mapped current business and operational processes and recommended areas for improvement.
  • Developed metrics derived from raw company data to track improvements in organizational efficiency.
  • Synthesized current business intelligence data to produce reports and polished presentations, highlighting findings and recommending changes.
  • Resolved business problems with various data technologies and methods that businesses put into practice while keeping data revolution moving.
  • Provided clear line of sight to business metrics, insights, and more important, poignant performance levers and actual solutions, for solving problems that deliver most value for business.
  • Data exploration, data prototyping, data engineering, data extraction, data transformation and data modeling of large-scale data sets and big data.
  • Business requirements, gathering and documentation.
  • Translated business requirements into usable decision support tools.
  • Transformed raw data into actionable insights for organizations, make decisions faster and put their businesses ahead of competitors.
  • Engaged stakeholders to understand business strategy, questions and goals. Bring structure to business requests. Translated requirements into analytical project approach, and lead projects through completion. Provide tactical and strategic guidance.
  • Acquired and compiled structured and unstructured data and verify its quality, accuracy and reasonableness.
  • Performed advanced analyses of historical data to surface trends and essential insights using advanced analytical methods.
  • Validated analytical techniques employed in future-looking analytics and financial analysis.
  • Prepare and deliver visualizations and presentations that translate analytic insights into tangible, actionable solutions.
  • Developed, owned and managed recurring analytic or reporting processes. Shared and documented best practices.
  • Upfront deployment of robust but easy-to-use data analysis , analytics solutions, and business and project strategies to achieve minimum 15% performance improvement.
Regional General Manager, 10/2000 - 12/2006
British Petroleum (BP) Plc City, STATE,
  • Devised, deployed and monitored processes to boost long-term business success and increase profit levels .
  • Implemented data-engineered business strategies, tactics and data-driven analysis, financial and operational performance management, increasing revenue and effectively targeting new markets.
  • Enhanced and redefined organizational structure to maintain company's competitive edge across territories and advanced project execution.
  • Spearheaded overhaul of company best practices, leading to significantly increased staff retention rates and top-ranking as industry leader and leading brand.
  • Oversaw global product development and partner relationships, enabling footprint expansion into new markets of business.
  • Distilled big picture, vision, strategic direction , business strategy and analysis of business metrics and Key Performance Indicators into concise actionable conclusions and operational tactics, amid influencing others to rally behind vision to tackle new frontiers and opportunities.
  • Re-imagined data and its inherent value as strategic asset in tracking and managing performance, improving efficiencies and customer / employee satisfaction, increasing revenues 12% and reducing costs 20% year-on-year.
  • Translated business objectives into firm metrics and key performance indicators .
  • Tracked achievement of business goals and progress, including taking corrective action, including 20% supplier rationalization and streamlining of supply chains and sourcing to be both strategic and lean.
  • Identified, defined and solved business challenges that pose greatest business risk, and with most potential to deliver greatest value , as well address impediments achievement of both short-term and long-term business goals.
  • Understand, categorize, prioritize, balance, plan and forecast emergent benefits and risks, opportunities and threats, and actual business changes required to achieve strategic objectives and avert lurking dangers.
  • Optimized business portfolio – totality of organization’s investment in vertically integrated business streams, which include oil and gas exploration and production, refining, distribution and marketing, petrochemicals, power generation, trading, and renewable energy interests in bio-fuels, wind power, smart grid and solar technology.
  • Ensured transparent chain is continually demonstrated from strategic intent through to benefits realization in delivering y strategic objectives and measurable performance improvements.
  • Continually assess and pivot organizational direction in response to volatile, uncertain, complex, and ambiguous conditions.
Post-Graduate Degree : Financial Engineering (Mathematical Finance), Expected in
University of London, Birkbeck College - London, United Kingdom,
Bachelor of Science: Accounting, Expected in
University of Zimbabwe - Harare, Zimbabwe,

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Resume Overview

School Attended

  • University of London, Birkbeck College
  • University of Zimbabwe

Job Titles Held:

  • Data Analytics Consultant
  • Quantitative Analyst / Data Analyst
  • Business Information Analyst /Strategy Analyst
  • Regional General Manager


  • Post-Graduate Degree
  • Bachelor of Science

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