Head Data and Analytics
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I, Mr. Sanjay John David wish to apply for the position advertised. Enclosed please find my Curriculum Vitae.
I am not afraid of change, I welcome it. I believe that I have the aptitude to learn at a rapid pace and believe in total dedication and commitment, when it comes to working in the IT environment. I enjoy a challenge and believe that nothing is impossible. I have the ability to handle any situation, problem or client without feeling threatened.
I welcome the opportunity of further studying/training in the IT field to become an employee in your company. I am confident enough to know that I am capable of doing any task as any other worthy employee at your company would, given the opportunity and means. Given the opportunity I will endeavor to improve the domain of the specific IT department within which I work.
I would be willing and appreciative to have the chance of working with your company.
Building Strategy for the Data and Analytics area
Customer engagement for potential sales
Working with Sales team to understand market trends and build capabilities within the Data and Analytics teams.
Conducting JAD sessions and understanding of customer requirements, daily stand ups with customer teams
Microsoft engagements for potential sales
Exploring new technologies to build capabilities within the team.
Gap analysis to identify skills in team.
Building division and organising division internally
Preparing of work break down structures
Managing customer expectations on work items for delivery
Created Power BI Reports for customer
Implementation of Power BI Server
Publishing of Power BI reports
Managed team to build ‘Return to Work’ app and reporting
Managing 8 developers at various customers
Managed delivery of solutions to customers
Market scanning to find suppliers for data clean up
Costing model done to compare pricing
Profit model done for company usage and costing
Engaging with Consumer Profile Bureau as a solution to clean Innovation Group data
Managed meetings with different areas to identify their needs for data clean up
Presented to the CEO and Exco the CPB supplier solutions and proposal to clean data.
Created dashboard to identify number of data records per system to be cleaned
Manage MI team meetings to ascertain needs and align to road map
Building and maintaining relationships with directors and senior management
Meeting with various business stake holders as well as directors to ascertain strategic needs
Providing data to projects and managing the upstream and downstream data feeds into various systems
Management of BI projects and creating BI solutions for business
Preparing and coaching developers for meetings, business projects, requirements, problems
Presenting new technologies to CIO and leadership team
Meeting with suppliers to view new technologies for the department
Keeping up with and implementation of legislation and regulations
Analyzing of complex data and cataloguing for future use
Preparing of weekly and monthly management reports for Manco
Being groomed for senior business intelligence management role
Improving the architecture of the Data warehouse
Manage and control current and future reporting
Team: 2 senior developers 2 junior developers
Engaging with middle and senior management to get business requirements in prioritization meeting
Prioritizing of work for team
Making sure data warehouse team executes the business short and long term strategies
Recruiting and retaining of developers
Managing and improving ETL development,
Coaching data warehouse developers during building of ETL and data warehouse daily run
Managing daily errors and coaching ETL developers to resolve the errors
Managing daily errors and coaching reporting developers and MIS teams to resolve the errors
Preparing of Team KPIs and discussion of KPIs
Using Agile to manage team deliverables
Creating PDPs and checking in every quarter to check mile stones
Preparing architectures for data warehouse
Created architecture subject area, conceptual area and logical area for party and supplier data model
Meeting with key business stakeholders to extract business requirements
Meeting with directors and senior management to gather and understand strategies objectives
Building Business glossary for innovation group
Capturing reference data for use in data models
Meeting with IT users during refinement meetings to discuss refinements of data and data architectures
Meeting with Business architect and Application architect to discuss enterprise data models, model integration and support of business strategies
Creating of data quality firewall
Preparing and presenting enterprise data models to business users, senior managers and directors
Making senior managers and directors aware of data available, building Enterprise Information management
Gathering of Metadata from source systems
Installing Master data services 2016
Creating Entities, Users, Business Rules on Master data services 2016
Importing supplier and party data into Master data Services 2016
Creating and preparing of taxonomies
Data quality reporting and creation
Data cleaning, guiding users on data cleaning processes
Managing and controlling of business projects
Tele-sure Project
Managed Tele-sure client:
Preparing of data for data exchange
Meeting with Tele-sure business users and DBAs
Managed FAM client: Moving of Roadside data to FAM and daily package to upload data
Meeting with FAM staff and DBAs for data exchange
Managed ABSA client: Their data needs and data cleaning.
Cleaning and identifying of new fields needed for projects
Meeting with FAM staff and DBAs for data exchange
Creating Debit order dashboards and reports
Preparing data for debit orders
Matching of debit orders with bank statement and unpaid data
Investigation of debit orders and bank statements
Investigation of debit order unpaid
NAME OF INSTITUTION : Varsity College
COURSE ENROLLED : PC Engineering
DETAILS OF PC ENGINEERING DIPLOMA:
YEAR : 2014 – 2021
DEGREE ENROLLED : Bachelor of Commerce in Business Informatics
