Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Christopher Netshiswinzhe

Boksburg

Summary

Data Analyst with more than 5 years of experience in analyzing complex datasets, performing statistical analysis, and generating actionable insights. Proficient in SQL, IBM DataStage, SAS, Synapse, Teradata, Python, SAP Power Designer, DevOps, Blob, ETL, ADF pipeline, Control-M, Hadoop, PL, SPARK, SSIS, API integration, Azure, and data visualization tools such as QlikView, Tableau, Onstream and Power BI. Strong problem-solving skills and a track record of delivering high-quality analytical solutions. Excellent communication and collaboration abilities to effectively communicate findings to stakeholders.

Overview

5
5
years of professional experience
1
1
Certification

Work History

Data Analyst

Sasol
11.2022 - Current
  • Plan, Design, Implement, Support, and Improve the Finance Data Models – ensure effective integration and coordination with the overall data strategy as provided by the IM function
  • Ensure that data solutions are aligned with current and future requirements
  • Provisioning of data in the AES (Analytical Ecosystem) to relevant stakeholder in a readable and understandable manner that talks to the OneStream dimensions and PowerBI modelling principles
  • Provide in-depth data analysis to support the Finance data strategy and reporting requirements
  • Management of delivery support to business/OME’s to drive better, data-driven decision-making
  • Regular monitoring and analysis of the data processes and master data elements is a key element of the role to ensure the integrity of data
  • Orchestrated the enhancement and continuous maintenance of financial data models on SAP Power Designer, ensuring data integrity and facilitating seamless execution of future projects; enabled 20% faster data retrieval and analysis.
  • Migrating Teradata scripts to Synapse
  • Release scripts to production using DevOps
  • Generated ad-hoc reports to evaluate specific business requirements.
  • Updated and developed scripts and queries to extract and analyze data from multiple sources.
  • Resolved complex business challenges by leveraging statistical modeling techniques and machine learning algorithms.

Data Analyst

Standard bank
08.2022 - 10.2022
  • Creating T SQL scripts to extract data for business intelligence reports
  • Specify, collect, clean, combine, and aggregate data from various sources for data analysis and reporting purposes
  • Use critical thinking to translate requirements into reporting or data analysis specifications that are aligned with the actual business need
  • Create dashboards and reports daily that provide business users with the relevant information they need to make informed decisions
  • Creation and management of files, datasets, and workspaces
  • Ensuring that power bi users receive accurate report data
  • Creating balance score cards to make sure that planners can see their assets under management
  • Developed and maintained SQL queries to extract and transform data for reporting purposes.

Senior Analyst

08.2021 - 07.2022
  • Monitoring & reporting of credit exposures within Overdraft including investigation and escalation of excesses and limit breaches
  • Providing approvals for deals within approved credit limits
  • Investigating and resolving exceptions & technical issues
  • Portfolio reporting and historical analysis of counterparty credit risk
  • Reporting and involvement in On-going Risk Management process
  • Automation of reports to improve efficiencies
  • Develop both strategy and operations collections portfolio reports
  • Reviewed customer financial data to ascertain level of risk involved for extending credit
  • Performed analyses for lending portfolios of products to determine performance over time
  • Presented key information to upper management and the executive team for Overdraft recommendations
  • Assessed customer credit files regularly to review receivables.

Senior Analyst

02.2020 - 08.2021
  • Create and Maintain CDQ data and feed SQL model to provide accurate reporting on source data issues which are necessary to assist in data remediation process
  • Each customer record should be accurate, correct, and complete, to ensure that customer impact is minimized
  • Analyse, complete all Ad Hoc queries within the agreed SLA timelines
  • Create new models for future build which can be used to support all stakeholders in monitoring and development of the Single customer record
  • Produce the CDQ weekly feed to improve Data Quality reporting
  • Develop data mart
  • Provide insights & analytics on Data Quality Profiling dashboards (Operational insight)
  • Know the Quality of data for regulatory and business value dimensions (Data Enablement (Tactical Insights))
  • Know where data is making the most impact in my Business (Strategic Insight)
  • Create ETL process to automate jobs that update EIM dashboards
  • Making large and complex data more accessible, understandable, and usable
  • Maintain provincial dashboards such as Automated Reconciliation dashboard, Auto Indexing and AR data quality dashboard to ensure visibility of our data quality with frontlines
  • Provide a daily report of all new to bank accounts with all the mandates scanned/ outstanding in FileNet using the account number, BPID and ID
  • Ensure that all New to Bank account and Products opened at a branch level with the minimum SARB Regulatory document requirements met
  • Build models that allows for Teams to dynamically forecast target volumes, scores, and financial impact

Data Scientist

Standard bank
11.2018 - 01.2020
  • Applied analysis skills, leveraging insights, developing, and deploying data models and evaluating and improving existing models to create solutions
  • Constructed deep learning models and scalable machine learning systems
  • Worked alongside team members and leaders to identify analytical requirements and collect information to meet customer and project demands
  • Applied custom models and algorithms to data sets to evaluate and solve diverse company problems
  • Presented information using data visualization techniques, proposing solutions and strategies to drive business change and solve problems
  • Developed SQL queries to obtain complex data from tables in onsite and remote databases.

Education

Bachelor of Science - Computer Science

University of Johannesburg
Johannesburg, South Africa
03.2018

Bachelor of Science - Computer Science

University of Venda
Thohoyandou, South Africa
05.2015

High School Diploma -

Dimani Agricultural High School
Thohoyandou, South Africa
12.2010

Skills

  • Skills and Competency
  • Data Analysis and Interpretation
  • SQL server, Teradata, Synapse, ETL and Database Management
  • Statistical Analysis and Modeling (SAS)
  • Data Visualization (Tableau, Power BI, QlikView, Onstream)
  • Python Programming
  • Excel
  • Powerpoint
  • DevOps
  • PL
  • Control-M
  • Hadoop
  • SPARK
  • Data pipelines
  • Data Quality
  • Data mapping
  • Data mining
  • Data integration
  • Blob
  • Interpreting Data
  • Examining Information
  • Articulating Information
  • Interacting with People
  • Managing Tasks
  • Meeting Timescales
  • Data Cleaning and Preparation
  • Advanced Excel and Spreadsheet Analysis
  • Machine Learning Techniques
  • Problem-solving and Critical Thinking
  • Attention to Detail
  • Manual and Automated Testing
  • Test Planning and Execution
  • Test Case Creation and Management
  • Defect Tracking and Management
  • Test Documentation
  • Regression Testing
  • Test Automation (Selenium)
  • Agile Testing Methodologies
  • Bug Reporting and Troubleshooting
  • Jira and Test Management Tools
  • Strong Analytical and Problem-solving Skills
  • Excellent Communication and Collaboration Abilities
  • Risk Reporting
  • Data Analysis and Inference
  • Market Analysis
  • Continuous Process Improvement
  • Product and Services Knowledge
  • Risk Management

Certification

ISTQB foundation

Timeline

Data Analyst

Sasol
11.2022 - Current

Data Analyst

Standard bank
08.2022 - 10.2022

Senior Analyst

08.2021 - 07.2022

Senior Analyst

02.2020 - 08.2021

Data Scientist

Standard bank
11.2018 - 01.2020

Bachelor of Science - Computer Science

University of Johannesburg

Bachelor of Science - Computer Science

University of Venda

High School Diploma -

Dimani Agricultural High School

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Christopher Netshiswinzhe