Senior Data Architect & Analyst

SUMMARY:
Data Architect & Analyst, with B.Sc or B.Comm Information degree (or similar qualification) and relevant data experience, including a minimum of 6 years’ experience in MS SQL, required to start asap with this Consumer Data Insights Company, based in Sandton. Opportunity to work remotely.

POSITION INFO:

Data Architect & Analyst, with B.Sc or B.Comm Information degree (or similar qualification) and relevant data  experience, including a minimum of 6 years’  experience in MS SQL, required to start asap with this Consumer Data Insights Company, based in Sandton.  Opportunity to work remotely.

Minimum requirements:

• B.Sc / B.Comm Degree in Information or similar essential
• Minimum 6 years’ experience in MS SQL essential
• Knowledge and experience in SSIS essential
• Previous experience in the Digital Marketing environment preferred
• Experience in working with private and sensitive personal information required
• Strong analytical skills and understanding of databases and concepts required
• Experience in transforming data into useful information required

Responsibilities:

• Data analysis – implement/maintain consumer data solutions including data sourcing, transformation and quality control using SQL and SSIS
• Data architecture – analyse data needs of the company and use skills in coding to maintain secure database
• Collect and organise data
• Communicate with client/end-users to determine and deliver on solution requirements
• Research and evaluate sources of information to determine limitations is reliability and usability
• Apply sampling techniques to determine and define categories to be questioned
• Prepare reports for management and stakeholders by analysing and interpreting data
• Train assist and team members to organise findings and read data collected
• Design computer code using various languages to improve and update software and apps
• Determine ideal method for gathering data
• Identify areas for improvement in current systems
• Audit database
• Create systems to keep data secure
• Analyse structural requirements for new software and apps
• Migrate data from existing systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance – conducting tests, troubleshooting and integrating new elements
• Optimise new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science Department to identify future needs and requirements
• Provide operational support for Management Information Systems

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