Summary
Overview
Work History
Education
Skills
Areas of Knowledge
Certification
Languages
Volunteering Experience
Additional Information
Timeline
Generic

BELINDA CHIDZIVA

Vancouver,BC

Summary

A data analytics professional, strategic consultant and, data governance specialist with over 6 years experience in business needs analysis, data analysis, developing dynamic data pipelines and leading strategic initiatives for data governance framework implementation. Excels at working with internal and client project teams at all levels (C-level, VP, director and subject matter experts) to delivering analytics business solutions by leveraging data as a strategic asset that drives digital transformation and innovation.

Overview

9
9
years of professional experience
1
1
Certification

Work History

Data Management Analyst |Data Analytics Consultant

NTT DATA Services Inc
08.2023 - 04.2024
  • Performed Data Management Maturity Assessments for the organization's data practices across all business functions and assessing data management capability maturity and developing strategies to position the client for innovation.
  • Supported Enterprise Architecture deliverables such as
    business capability mapping to business intelligence and
    reporting and data management. This work involved utilizing software such as LeanIX to identify core functions and processes that drive value for the organization.
  • Led meetings as an active member and co-chair , and collaborated with Data Governance Council, Records Retention and Disposition Committee and Analytics team to architect and develop strategic initiatives for data governance strategy implementation for Health Insurance British Columbia and PBC Solutions.
  • Developed a Data Management Strategy to help provide
    strategic direction of data governance and management
    across all business units.
  • Collaborated and contributed to ongoing road mapping and potential tool selection and implementation of an Enterprise Data Catalog, in partnership with IT.
  • Conducted data extraction and developed SQL database queries and analysis to help facilitate surveys for the organization's key performance measures such customer satisfaction as part of continuous service improvement.
  • Conducted an in-depth analysis of the current as-is state of the organization's data resources, culture, architecture and provided deliverables such as Gap Analysis Report , presentations and dashboard visualizations for C-level executives.
  • Planned resources and provided strategic consulting for prioritizing Data Governance activities implemented in each Program Increment.
  • Conducted and facilitated workshops in conjunction with the Privacy team to collaboratively define data retention and data disposal policies.
  • Identified and recommended opportunities to optimize data assets and data management processes,
    through automation and business process improvements.
  • Promoted best practices for data quality, governance and adherence to security and data regulations such as FOIPPA by conducting presentations on a regular cadence to head of departments and executives, ensuring a consistent and structured approach to communication on these important topics.
  • Worked closely Business Systems Analysts to identify and prioritize strategic data requirements. The project involved identifying the various internal and external stakeholders requiring client data, assessment of 15+ Ministry of Health program areas, examining the (domains such as Medical Services Plan, PharmaCare), their data requirements, identifying the various client data sources, exploring how these existing data sources could be leveraged to provide information to stakeholders and outlining recommendations and next steps. Interviewed project participants throughout the organization and compiled results into a project session presentation. The project session allowed the participants to discuss results and set data priorities.

Software Engineer (Data Analyst & Visualization)

Image Engine Design Inc
05.2022 - 05.2023
  • Led the development of enterprise wide data strategy which significantly streamlined the data collection and management processes and analysis at Image Engine so the organization can bid on film and television projects more accurately.
  • Analyzed data assets and engineered a dynamic data pipeline for 100+ historical television/show projects, leveraging Tableau to create captivating visual narratives
    that informed project and show bidding processes.
  • Developed and implemented systematic data quality checks and monitoring, ensuring consistent
    and dependable analysis in downstream machine learning endeavors.
  • Utilized unsupervised machine learning algorithms such as K-means to cluster production shots complexities to analyze data and identify trends and patterns to inform data-driven bidding cost estimates for future projects.
  • Continuously monitored the project bidding model's performance, updated it with new data, to ensure its scalability, reliability, and data security.
  • Collaborated with visual effects producers, supervisors, executive stakeholders and subject matter experts in data modelling and data mapping sessions to determine data management ,analytics & visualization needs for current and future visual effects productions and incorporate business requirements into the data modeling process using Postgres SQL.
  • Developed intuitive and efficient monitoring and tracking data visualization reports for the progress of VFX projects. This improved and provided an exceptional lens for the stakeholders to see through insights for shots completion over time, milestone achievements, and resource allocation ,identifying bottlenecks, inefficiencies, and opportunities for process improvement in workflows.
  • Documented metadata and data workflows, tested, and debugged tools to ensure the data engineering process provides practical applications and use cases for the visual effects production data.
  • Led technical support, trainings and provided excellent communication to stakeholders which helped in highlighting the need for data integration and management as strategic asset in resource allocation projects.
  • Initiated data management and governance procedures addressing feature drift, versioning, privacy and metadata. This resulted in proactive detection of anomalies
    that might affect model performance or data quality.
  • Stayed up-to-date with industry trends in Data Science and Artificial Intelligence by attending leading industry conferences such as Siggraph and workshops by Association for Computing and Machinery to help support the company's data strategy and security awareness.

Data Analyst

Drimkoe Innovations Inc
02.2019 - 02.2022
  • Worked with various internal and external stakeholders to identify, integrate and analyze data in source systems, examining data cleanliness issues such as (missing values, duplicate meanings, and invalid data) and developing feedback processes required to fix corrupt customer data profiles.
  • Responsible for leading a team of new graduates recruits and interns in understanding the company's vision, mission and alignment of data insights with the overall business strategy.
  • Collaborated with other engineers to build a predictive model for FluidTasks software application's underwriting module using multi-linear regression analysis for the prediction of personalized motor vehicle insurance.
  • Derived insights and produced compelling visuals from product analysis to help inform better customer onboarding and boost conversion rate by 25% that impact monthly recurring revenue.
  • Utilized pre-trained models to forecast and predict insurance premiums for new or existing policyholders.
  • Improved business direction by analyzing organization's business processes and their data domains.
  • Performed market research to identify local and international trends that contribute to new growth opportunities and insights for process improvement and data management .
  • Supported the creation of Drimkoe's data analytics strategy that helped in increase operational efficiency and maturity of data processes.
  • Analyzed insurance brokers transactions to assess data quality and meaning of data sets for feature improvements and business intelligence reporting.
  • Responsible for requirements gathering and participated in gap requirements analysis meetings and data mapping sessions to understand business needs and incorporate business requirements into the data modeling process.
  • Identified, reviewed and evaluated data management metrics such as accuracy, completeness, usage and KPIs to recommend ways to strengthen data observability across enterprise.

Business Development & Strategy

Drimkoe Innovations Inc
01.2018 - 02.2019
  • Executed strategic long-term growth initiatives through the developing of a Go-to-Market strategy for 'FluidTasks' product launch. This Software as a Service (SaaS) solution, tailored for the insurance sector, successfully managed to acquire 25% of its paying monthly active users within the initial first quarter post-launch.
  • Initiated and led the advancement of predictive analytics in the organization's machine learning pipeline by implementing data pre-processing steps such as one-hot encoding for categorical variables, leading to the creation of insightful features that were pivotal in refining our premium cost prediction models and increase the value for customers.
  • Conducted business requirements gathering, user acceptance meetings ,and facilitated the auditing of the organization's software in collaboration with client representatives and senior partner for KPMG audit firm.
  • Conducted market research analysis to drive business process improvements and competitive edge. Subsequently, prepared business intelligence dossiers for visualization and polished reporting for client executives and project stakeholders.
  • Researched and compiled sales and customer engagement monthly analytics reports and visualizations by utilizing business intelligence tools such as Power BI, to create visualizations of company metrics facilitating the assessment of areas that need improvement.
  • Managed and spearheaded adoption of SaaS practice initiative through effective change management which led to cost savings, scalability, accessibility, and automatic software updates.
  • Collaborated with software architects and development team using DevOps and Scrum Framework for Agile development to deliver business-oriented products for insurance broking and insuring seamless integration and data migration for new customers.
  • Developed and implemented favorable pricing structures and a subscription-based pricing model balancing firm objectives against consumer and market demand.
  • Performed experiments and sensitivity analysis to understand the impact of variations in key factors on the company's revenue projections. These insights informed project strategic decisions, optimizing budget allocations and operational efficiencies.
  • Stayed up to date with industry trends and advancements to enhance my knowledge and awareness of machine learning techniques and algorithms for different use cases and applications to facilitate advancement of the company's knowledge to continuously innovate.

Software Support Consultant , Internship

Belina Time Systems
10.2015 - 12.2017
  • Played an instrumental role in client satisfaction by provisioning beginning-to-end resolution to all reported Belina payroll software issues,case incidents, and services.
  • Led and facilitated expert support and training to 75+ Belina Payroll customers which increased customer onboarding process by 30%
  • Served customers by ensuring efficient and qualitative case handling by following defined Belina Time Systems support processes and tools
  • Administered,supported SQL Database by proactively resolving database issues for Belina payroll clients
  • Handled large volume of calls eg. 50 calls per day to address customer inquiries and concerns
  • Installed, upgraded, configured Belina Payroll software and SQL database and all associated dependencies in Windows environments
  • Assessed software bugs during user acceptance testing and compiled findings along with suggested resolutions for software engineering team members.
  • Managed Belina Time Control machines and integrated employee time data to Payroll systems to ensure that the data uploaded matches the actual employee attendance and hours worked.

Education

Bachelor of Technology Honors Degree - Software Engineering

Harare Institute of Technology
Harare
12.2017

Skills

  • Enterprise Data Management Strategy formulation & Governance
  • Extract, Transform, Load (ETL)
  • Data Engineering & Data Warehouse Management
  • BI Tool and Reporting & Data Visualization
  • Data-driven Decision Making
  • Software Project Management and Data Life cycle
  • Python programming
  • Dimensional Data Modelling
  • Cloud Platforms - Microsoft Azure,Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric
  • Business Analysis and Strategy
  • Agile Scum Methodologies
  • Critical, Analytical & Systems thinking
  • Strategic Planning
  • Innovation Leadership & Value Creation

Areas of Knowledge

Industries


  • Software development, General Insurance, Health Insurance (Government of British Columbia data domains), Entertainment/Media - Visual Effects (VFX), Technology , Human Resources


Methodologies


  • Scaled Agile Framework (SAFe), NTT DATA Data Management Framework Guidelines, NTT DATA Project Management Guidelines , Unified Modelling Language , Data Management Association (DAMA) Framework

Certification

  • Microsoft Certified: Azure Data Fundamentals - [March 2022]
  • Google: Foundations of Data Science - [ June 2023]
  • Google: Translating Data into Insights - [ July 2023]
  • Google : Python Programming - [ July 2023]
  • Certified Scaled Agile 5 Framework Practitioner - [ October 2023]
  • Harvard Business School Online: Business Strategy [ June 2024 -Pending]

Languages

  • Full Professional Proficiency in English (written and spoken) and excellent communication skills - IELTS 7.5
  • Shona (native)

Volunteering Experience

Speaking Engagements - Osgoode Professional Development, in partnership with McMillan LLP for York University, Osgoode Hall Law School: Osgoode Certificate in Privacy & Cybersecurity Law Privacy ( Feb 2024)


  • Delivered an instructional training session on Data Anonymization and Cyber Risk Prevention targeting diverse group of professional lawyers specializing in privacy, cybersecurity and compliance. This initiative was directed towards fortifying data protection and risk management practices in the digital era of technological advancements, ultimately creating safer digital environment for everyone.


Community Engagements - Active member of the United WayBritish Columbia ivolunteer.ca program

  • In partnership with NTT DATA Women Initiative Network ERG Community Outreach Committee and the United Way, I participated in a community engagement event at CityReach. The activities focused on food sorting, inspection, and packing for distribution for the homeless and vulnerable communities in British Columbia. (Feb 2024)


In my personal capacity, I am passionate about taking volunteering initiatives through:

  • Educating young girls and aspiring women in business startups about leveraging data for business innovation and strategies for sustainable growth.
  • Food and clothes contributions to vulnerable communities.
  • Serve on the board of a nonprofit organization by offering strategic planning, financial oversight, and governance.

Additional Information

  • Active learner and self motivated to learn new tools,data practices and technology.
  • Highly adapts to changes and fast paced work environments.
  • Appreciation of data regulations such as Personal Information Protection and Electronic Documents Act (PIPEDA) and Freedom of Information and Protection of Privacy (FOIPPA).
  • Proficient with Python programming and data analysis and visualization libraries (Pandas, NumPy, Scikit-learn, Matplotlib,Seaborn).
  • Knowledge of Data analytics Pipeline & Tools: Microsoft Azure Data Factory, Microsoft Fabric, Tableau,Power BI.
  • Databases eg. SQL, Azure Cosmos DB, PostgresSQL.
  • Agile Project Management: JIRA, Kendis.
  • Knowledge of Big data Technologies.
  • Excellent in Power Query and spreadsheet tools such as Microsoft Excel.
  • Knowledge of Data Governance and tools such as Databricks Unity Catalog, and familiar with Collibra, Microsoft Purview, Confluence.

Timeline

Data Management Analyst |Data Analytics Consultant

NTT DATA Services Inc
08.2023 - 04.2024

Software Engineer (Data Analyst & Visualization)

Image Engine Design Inc
05.2022 - 05.2023

Data Analyst

Drimkoe Innovations Inc
02.2019 - 02.2022

Business Development & Strategy

Drimkoe Innovations Inc
01.2018 - 02.2019

Software Support Consultant , Internship

Belina Time Systems
10.2015 - 12.2017

Bachelor of Technology Honors Degree - Software Engineering

Harare Institute of Technology
  • Microsoft Certified: Azure Data Fundamentals - [March 2022]
  • Google: Foundations of Data Science - [ June 2023]
  • Google: Translating Data into Insights - [ July 2023]
  • Google : Python Programming - [ July 2023]
  • Certified Scaled Agile 5 Framework Practitioner - [ October 2023]
  • Harvard Business School Online: Business Strategy [ June 2024 -Pending]
BELINDA CHIDZIVA